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Improve Human Connection in Video Conferences with NVIDIA Maxine Eye Contact | NVIDIA Technical Blog

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class="post-rate-widget content-s"></span> <span class="post-lang-switcher"> <div class="posts-filter-form"><div class="filter-item form-type-select"><select class="msls_languages"><option value="https://developer.nvidia.com/blog/improve-human-connection-in-video-conferences-with-nvidia-maxine-eye-contact/" selected>English</option><option value="https://developer.nvidia.com/zh-cn/blog/improve-human-connection-in-video-conferences-with-nvidia-maxine-eye-contact/">中文</option></select></div></div> </span> </div> <h1 class="h--large txt-clr--blck mt-2 mb-0">Improve Human Connection in Video Conferences with NVIDIA Maxine Eye Contact</h1> <div class="post-info"> <div class="post-published-date"> Jan 12, 2023 </div> <div class="post-authors"> By <a href="https://developer.nvidia.com/blog/author/rpereira/" title="Posts by Rochelle Pereira" class="author url fn" rel="author follow noopener" data-wpel-link="internal" target="_blank">Rochelle Pereira</a>, <a href="https://developer.nvidia.com/blog/author/jmin/" title="Posts by Jianyuan Min" class="author url fn" rel="author follow noopener" data-wpel-link="internal" target="_blank">Jianyuan Min</a> and <a href="https://developer.nvidia.com/blog/author/nnayak/" title="Posts by Nandita Nayak" class="author url fn" rel="author follow noopener" data-wpel-link="internal" target="_blank">Nandita Nayak</a> </div> <div class="card--post-attributes-secondary card--post-attributes-header"> <div class="post--rate secondary--attribute"> <div class="wpulike wpulike-heart " ><div class="wp_ulike_general_class wp_ulike_is_not_liked"><button type="button" aria-label="Like Button" data-ulike-id="59513" data-ulike-nonce="111212df17" data-ulike-type="post" data-ulike-template="wpulike-heart" data-ulike-display-likers="" data-ulike-likers-style="popover" class="wp_ulike_btn wp_ulike_put_text wp_post_btn_59513"><span><i class="far fa-thumbs-up"></i></span> </button><span class="count-box wp_ulike_counter_up" data-ulike-counter-value="+29"></span> </div></div> <span class="js-like-click like-click"> Like </span> </div> <div class="post--comments-count secondary--attribute"> <a href="#entry-content-comments"> <i class="fad fa-comment-alt-lines"></i> Discuss (0) </a> </div> </div> </div> <img width="1019" height="573" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Video-Conferencing-Maxine-Eye-Contact-2.png" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="Person in a video conference using Eye Contact feature with eye contact directly at the camera." decoding="async" fetchpriority="high" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Video-Conferencing-Maxine-Eye-Contact-2.png 1019w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Video-Conferencing-Maxine-Eye-Contact-2-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Video-Conferencing-Maxine-Eye-Contact-2-625x351.png 625w, 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href="https://www.reddit.com/submit?url=https%3A%2F%2Fdeveloper.nvidia.com%2Fblog%2Fimprove-human-connection-in-video-conferences-with-nvidia-maxine-eye-contact%2F&amp;title=Improve+Human+Connection+in+Video+Conferences+with+NVIDIA+Maxine+Eye+Contact+%7C+NVIDIA+Technical+Blog" class="for-reddit" target="_blank" rel="follow external noopener">R</a></li> <li><a href="mailto:?subject=I'd like to share a link with you&body=https%3A%2F%2Fdeveloper.nvidia.com%2Fblog%2Fimprove-human-connection-in-video-conferences-with-nvidia-maxine-eye-contact%2F" class="for-mail">E</a></li> </ul> </div> <div class="entry-content"> <p>Video conferencing is at the heart of several streaming use cases, such as vlogging, vtubing, webcasting, and even video streaming for remote work. To create an increased sense of presence and pick up on both verbal and non-verbal cues, video conferencing technology must enable users to see and hear clearly.</p> <p>Eye contact plays a key role in establishing social connections and in face-to-face conversations it signifies confidence, connection, and attention.&nbsp;However, continuously making eye contact is not feasible in video conferencing scenarios. It requires users continuously look directly at their cameras and not at their computer displays. This can be difficult if one is reading off a script or reviewing data on a computer screen.</p> <p>&nbsp;Maintaining eye contact is also sometimes challenging for various physiological reasons. Many children and adults struggle to make and maintain eye contact.</p> <p>To improve, augment, and enhance the user experience, we have developed NVIDIA Maxine Eye Contact. This feature uses AI to apply a filter to the user’s webcam feed in real time and redirects their eye gaze toward the camera.</p><div class='code-block code-block-2' style='margin: 40px auto; text-align: center; display: block; clear: both;'> <div style="background: #efefef 0% 0% no-repeat padding-box;margin-top: -8px;margin-bottom: -8px;border-top:1px solid #ccc;border-bottom:1px solid #ccc;"><div style="max-width:1360px;margin:auto;"><div id="metaslider-id-96052" style="width: 100%; margin: 0 auto;" class="ml-slider-3-60-1 metaslider metaslider-flex metaslider-96052 ml-slider ms-theme-default nav-hidden" role="region" aria-roledescription="Slideshow" aria-label="New Slideshow"> <div id="metaslider_container_96052"> <div id="metaslider_96052" class="flexslider"> <ul aria-live="polite" class="slides"> <li style="display: block; width: 100%;" class="slide-96054 ms-image" aria-roledescription="slide" aria-label="slide-96054"><a href="https://nvda.ws/3WDuyIk" target="_blank" data-wpel-link="external" rel="follow external noopener"><img width="1360" height="180" src="https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1.jpg" class="slider-96052 slide-96054" alt="NVIDIA GTC 2025" rel="" title="NVIDIA GTC 2025" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1.jpg 1360w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-300x40.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-625x83.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-179x24.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-768x102.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-645x85.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-500x66.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-160x21.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-362x48.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-831x110.jpg 831w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/02/gtc25-banner-reg-now-1360x180-inpost-1-1024x136.jpg 1024w" sizes="(max-width: 1360px) 100vw, 1360px" /></a></li> </ul> </div> </div> </div></div></div></div> <div class="wp-block-image"> <figure class="aligncenter size-full"><img decoding="async" width="1276" height="633" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing.png" alt="Side-by-side image of a person with Eye Contact on the right and without Eye Contact on the left." class="wp-image-59519" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing.png 1276w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-300x149.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-625x310.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-179x89.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-768x381.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-500x248.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-160x79.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-362x180.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-222x110.png 222w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-Eye-Contact-reposing-1024x508.png 1024w" sizes="(max-width: 1276px) 100vw, 1276px" /><figcaption class="wp-element-caption"><em>Figure 1. NVIDIA Maxine Eye Contact reposing a person’s eyes to appear like they are looking at the camera</em></figcaption></figure></div> <p>This innovative AI-based algorithm for gaze estimation and redirection is state-of-the-art and is fully integrated into the <a href="https://developer.nvidia.com/maxine#ar-sdk" data-wpel-link="internal" target="_blank" rel="follow noopener">NVIDIA AR SDK</a>, introducing new gaze estimation and redirection along with 6DOF head pose estimation capabilities.&nbsp;</p> <div class="wp-block-image"> <figure class="aligncenter size-full"><img decoding="async" width="873" height="458" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App.png" alt="Screen capture of NVIDIA Broadcast App, which includes microphone, speakers, and camera setting with person in camera frame." class="wp-image-59516" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App.png 873w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App-300x157.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App-625x328.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App-179x94.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App-768x403.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App-500x262.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App-160x84.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App-362x190.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/NVIDIA-Maxine-Eye-Contact-App-210x110.png 210w" sizes="(max-width: 873px) 100vw, 873px" /><figcaption class="wp-element-caption"><em>Figure 2. NVIDIA Broadcast App 1.4 update with new eye contact feature</em></figcaption></figure></div> <p>NVIDIA Maxine Eye Contact is also integrated into <a rel="noreferrer noopener follow" href="https://www.nvidia.com/en-us/design-visualization/software/broadcast-app/" target="_blank" data-wpel-link="internal">NVIDIA Broadcast App</a>—a free software download for NVIDIA RTX and GeForce RTX GPU owners—that transforms any room into a home studio. Test the new Eye Contact in version 1.4.</p> <h2 id="creating_an_eye_contact_pipeline" class="wp-block-heading">Creating an eye contact pipeline<a href="#creating_an_eye_contact_pipeline" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>NVIDIA Maxine Eye Contact operates on a region of interest around one’s eyes also known as the eye patch. The eye patch is extracted from a video frame using the NVIDIA Maxine Face tracking pipeline, computing the 2D facial landmarks and the 6DOF head pose from the video frame.</p> <div class="wp-block-image"> <figure class="aligncenter size-full"><img loading="lazy" decoding="async" width="1602" height="444" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK.png" alt="Face tracking input and output workflow where input image converts into 2D landmarks and 6DOF pose." class="wp-image-59645" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK.png 1602w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-300x83.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-625x173.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-179x50.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-768x213.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-1536x426.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-500x139.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-160x44.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-362x100.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-397x110.png 397w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/FaceTrack-AR-SDK-1024x284.png 1024w" sizes="auto, (max-width: 1602px) 100vw, 1602px" /><figcaption class="wp-element-caption"><em>Figure 3. NVIDIA face tracking pipeline diagram</em></figcaption></figure></div> <p>This head pose is then used to normalize the face in the video frame. A 256 ✕ 64 px eye patch is cropped from the normalized frame and it is fed into the eye contact network. The eye contact network has a disentangled encoder-decoder architecture. The encoder estimates the gaze angle from the input eye patch along with a set of features, also known as embeddings.&nbsp;</p> <p>Based on these embeddings, the decoder performs redirection of the gaze in the input patch to make the face look forward. The last stage of the pipeline involves blending the eye patch back into the original video frame with an inverse transformation.&nbsp;</p> <p>The outputs of the pipeline are the head pose, gaze angles, and image with redirected eye gaze. The pipeline can also be used in a <strong>gaze estimation-only</strong> mode in which case redirection is turned off.&nbsp;</p> <figure class="wp-block-image aligncenter size-full"><img loading="lazy" decoding="async" width="1309" height="666" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline.png" alt="Maxine Eye Contact input and output workflow where input image converts into gaze directed image and head pose and gaze angles. " class="wp-image-59648" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline.png 1309w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-300x153.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-625x318.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-179x91.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-768x391.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-500x254.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-160x81.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-362x184.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-216x110.png 216w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Face-tracking-SDK-pipeline-1024x521.png 1024w" sizes="auto, (max-width: 1309px) 100vw, 1309px" /><figcaption class="wp-element-caption"><em>Figure 4. NVIDIA Eye Contact pipeline diagram</em></figcaption></figure> <p>The technology redirects a user&#8217;s gaze to the front and center. To keep the experience natural, the algorithm reduces the redirection effect as the original eye gaze drifts further away from the center. Redirection is also turned off in cases when the head is rotated beyond a predetermined threshold outside of which a natural-looking redirection is not feasible.&nbsp;</p> <h2 id="nvidia_maxine_eye_contact_model_architecture" class="wp-block-heading">NVIDIA Maxine Eye Contact model architecture<a href="#nvidia_maxine_eye_contact_model_architecture" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <div class="wp-block-image"> <figure class="aligncenter size-full is-resized"><img loading="lazy" decoding="async" width="1876" height="513" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture.png" alt="NVIDIA Eye Contact workflow where eye contact image inputs into the encoder and outputs through the decoder with redirected eye contact image." class="wp-image-59524" style="width:547px;height:149px" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture.png 1876w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-300x82.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-625x171.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-179x49.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-768x210.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-1536x420.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-500x137.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-160x44.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-362x99.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-402x110.png 402w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Maxine-eye-contact-model-architecture-1024x280.png 1024w" sizes="auto, (max-width: 1876px) 100vw, 1876px" /><figcaption class="wp-element-caption"><em>Figure 5. NVIDIA Maxine Eye Contact feature model architecture diagram</em></figcaption></figure></div> <p>The architecture of the eye contact network consists of a transforming encoder and decoder structure. The encoder encodes the image content into latent representations of the following factors:&nbsp;</p> <ul class="wp-block-list"> <li>Non-subject related factors such as<em> </em>environmental lighting, shadows, white balance and hue, and blurriness.</li> <li>Subject-related factors such as skin color, face and eye shape, eyeglasses, and eye gaze.</li> <li>Head pose.&nbsp;</li> </ul> <p>Additionally, the encoder predicts the “state” (R<sub>i</sub>) of each of these latent factors (z<sub>i</sub>) codified by one- or two-dimensional rotation angles.&nbsp;</p> <p>In our design, a rotation applied to the individual latent factors affects a corresponding monotonic change in the appearance of the image. For example, to alter the gaze, the latent factor related to the gaze needs to be transformed. We then input all the internal representations (original and transformed ones) into a decoder network to create the final redirected eye image.&nbsp;</p> <p>Our algorithm provides the best accuracy compared to inference time tradeoff when compared with existing state-of-the-art approaches in terms of the accuracy of gaze redirection, gaze disentanglement from other factors, and perceptual image quality.</p> <h2 id="maintaining_eye_color" class="wp-block-heading">Maintaining eye color<a href="#maintaining_eye_color" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>Preservation of eye color is one of the key challenges for any gaze redirection algorithm. Our eye contact network has been trained on a large and diverse dataset of about 4 million images. Roughly 25% are synthetically generated to add diversity in eye color and shape.</p> <p>In addition, our network is trained using several loss functions, which contribute to accurate redirection of the eyes. The prominent loss functions used in redirection are:&nbsp;</p> <ol class="wp-block-list"> <li><strong>Reconstruction loss:</strong> We guide the generation of the redirected images with a pixel-wise L1 reconstruction loss between the generated image and the target image.&nbsp;</li> </ol> <p class="has-text-align-left"><img decoding="async" src="https://s0.wp.com/latex.php?latex=L_R+%28X_t%2CX_t%29%3D+%5Cfrac%7B1%7D%7B%7CX_t%7C%7D%7C%7C%7B%5Ctilde%7BX_t%7D-X_t%7D%7C%7C_1&#038;bg=transparent&#038;fg=000&#038;s=0&#038;c=20201002" alt="L_R (X_t,X_t)= &#92;frac{1}{|X_t|}||{&#92;tilde{X_t}-X_t}||_1" class="latex" /></p> <ol class="wp-block-list" start="2"> <li><strong>Functional loss: </strong>We use a functional loss, which prioritizes the minimization of task-relevant inconsistencies between the generated and target images, such as the mismatch in iris positions. </li> </ol> <p>This is defined through an L2 loss between the features of the generated and target images.</p> <p class="has-text-align-left"><img decoding="async" src="https://s0.wp.com/latex.php?latex=L_%7BF_%7Bfeature%7D%7D+%28%5Ctilde%7BX_t%7D%2CX_t%29+%3D+%5Csum_%7Bi%3D1%7D%5E%7B5%7D+%5Cfrac%7B1%7D%7B%7C%5Cpsi_i%28X_t%29%7C%7D%7C%7C+%5Cpsi_i%28%5Ctilde%7BX_t%7D%29-%28X_t%29+%7C%7C_2&#038;bg=transparent&#038;fg=000&#038;s=0&#038;c=20201002" alt="L_{F_{feature}} (&#92;tilde{X_t},X_t) = &#92;sum_{i=1}^{5} &#92;frac{1}{|&#92;psi_i(X_t)|}|| &#92;psi_i(&#92;tilde{X_t})-(X_t) ||_2" class="latex" /></p> <ol class="wp-block-list" start="3"> <li><strong>Disentanglement and loss:</strong> Individual environmental and physical factors should ideally be disengaged to avoid altering any of the other factors in the redirected image when changing a subset. </li> </ol> <p>We encourage the disentanglement between the encoded factors by first randomly transforming a subset of the factors to create a mixed-factor representation. This is formulated as:</p> <p class="has-text-align-left"><img decoding="async" src="https://s0.wp.com/latex.php?latex=f_%7Bmix%7D+%3D+%5C%7Bf_%7Bmix%7D%5E1%2Cf_%7Bmix%7D%5E2%2Cf_%7Bmix%7D%5EN%5C%7D%2Cf_%7Bmix%7D%5Ej+%3D+sf_%7Bi%7D%5Ej+%2B%281-s%29%5Ctilde%7Bf_%7Bt%7D%5E%7Bj%7D%2Cs+%5Ctilde+%5C%7B0%2C1%7D&#038;bg=transparent&#038;fg=000&#038;s=0&#038;c=20201002" alt="f_{mix} = &#92;{f_{mix}^1,f_{mix}^2,f_{mix}^N&#92;},f_{mix}^j = sf_{i}^j +(1-s)&#92;tilde{f_{t}^{j},s &#92;tilde &#92;{0,1}" class="latex" /></p> <p>The full disentanglement loss is defined as the discrepancy between the mixed and recovered embeddings, as well as the error between the gaze and head labels before and after the process.&nbsp;</p> <h2 id="setting_a_working_range" class="wp-block-heading">Setting a working range<a href="#setting_a_working_range" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>As described earlier, the input to the eye contact network is a scale-normalized eye patch. It has been observed that redirection can take place reliably and is more natural in a cone of around 20-degrees pitch and yaw angles. This is considered the recommended working range of the feature. </p> <p>The following are examples of successful gaze redirection for eye contact.&nbsp;</p> <div class="wp-block-image"> <figure class="aligncenter size-full is-resized"><img loading="lazy" decoding="async" width="847" height="142" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact.png" alt="Eye Contact examples of a person looking at and away from the camera." class="wp-image-59527" style="width:716px;height:120px" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact.png 847w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact-300x50.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact-625x105.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact-179x30.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact-768x129.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact-500x84.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact-160x27.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact-362x61.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/working-range-Maxine-eye-contact-656x110.png 656w" sizes="auto, (max-width: 847px) 100vw, 847px" /><figcaption class="wp-element-caption"><em>Figure 6. The working range of Maxine Eye Contact feature</em></figcaption></figure></div> <h2 id="addressing_transitional_drop-off" class="wp-block-heading">Addressing transitional drop-off<a href="#addressing_transitional_drop-off" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>It is common and often a reflex for the eye to have fast smooth movements called saccades.</p> <p>Beyond the working range, which may occur during a saccade, for instance, gaze redirection appears less natural and shuts off.&nbsp;</p> <p>However, abruptly turning off the feature results in a sudden shift in the iris, which is not desirable. To solve this problem, we introduced a transition region where the eyes are redirected to go from looking at the camera to the actual gaze angle in a smooth manner.&nbsp;</p> <p>This drop-off is performed incrementally as a function of the gradient between the current angle of redirection and the actual gaze direction. The speed of this transition is set to mimic the typical motion of human eyes. When the angle of redirection is sufficiently close to the estimated gaze angle, the feature is turned off completely.&nbsp;</p> <div class="wp-block-image"> <figure class="aligncenter size-full is-resized"><img loading="lazy" decoding="async" width="932" height="254" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact.png" alt="Eye Contact examples of a person looking at and away from the camera." class="wp-image-59526" style="width:638px;height:173px" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact.png 932w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact-300x82.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact-625x170.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact-179x49.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact-768x209.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact-500x136.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact-160x44.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact-362x99.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/transitional-drop-off-Maxine-eye-contact-404x110.png 404w" sizes="auto, (max-width: 932px) 100vw, 932px" /><figcaption class="wp-element-caption"><em>Figure 7. Transitional drop off of Maxine Eye Contact feature</em></figcaption></figure></div> <h2 id="handling_eye_invisibility" class="wp-block-heading">Handling eye invisibility<a href="#handling_eye_invisibility" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>There are times when a person’s eyes can be completely or partially obscured due to blinking, movement, or a dynamic environment. For example, a person’s hands or other objects can block the eyes from the camera view.&nbsp;</p> <p>Our eye contact pipeline is capable of detecting and preserving eye blinks. The algorithm also turns off the gaze redirection effect after detecting an occlusion indicated by the low confidence of landmark estimation.</p> <h2 id="optimizing_performance" class="wp-block-heading">Optimizing performance<a href="#optimizing_performance" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>The pipeline is GPU accelerated using TensorRT. Our design and implementation perform real-time time inference on NVIDIA GPUs with less than 5 ms latency per frame. It is performance optimized and supports the simultaneous execution of multiple stream instances for data center use cases in addition to NVIDIA RTX desktops and notebooks.&nbsp;</p> <div class="wp-block-image"> <figure class="aligncenter size-full is-resized"><img loading="lazy" decoding="async" width="1595" height="993" src="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8.png" alt="Maxine Eye Contact Performance graph where latency is compared with consumer and data center GPUs." class="wp-image-59529" style="width:694px;height:431px" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8.png 1595w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-300x187.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-625x389.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-179x111.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-768x478.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-1536x956.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-482x300.png 482w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-145x90.png 145w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-362x225.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-177x110.png 177w, https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/image8-1024x638.png 1024w" sizes="auto, (max-width: 1595px) 100vw, 1595px" /><figcaption class="wp-element-caption"><em>Figure 8. NVIDIA Maxine Eye Contact GPU performance by latency in milliseconds</em></figcaption></figure></div> <h2 id="download_now" class="wp-block-heading">Download now<a href="#download_now" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <h3 id="sdk_for_developers" class="wp-block-heading">SDK for developers<a href="#sdk_for_developers" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>NVIDIA Maxine Eye Contact is available for download in the <a rel="noreferrer noopener follow" href="https://developer.nvidia.com/maxine#ar-sdk" target="_blank" data-wpel-link="internal">AR SDK</a> for both Windows and Linux. The SDK has relevant documentation about the API usage and sample app to get started with seamless integration into any application. With this SDK API, various parameters such as temporal filtering and eye size sensitivity are controllable.</p> <h3 id="nvidia_ucf_microservice_for_developers" class="wp-block-heading">NVIDIA UCF Microservice for developers<a href="#nvidia_ucf_microservice_for_developers" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>It will also be available as part of the Video Effects Microservice in the NGC registry. It is <a rel="noreferrer noopener follow" href="https://developer.nvidia.com/ucf" target="_blank" data-wpel-link="internal">NVIDIA UCF</a> compliant and can be combined with other microservices to build multimodal AI applications.</p> <h3 id="nvidia_broadcast_app_for_consumers" class="wp-block-heading">NVIDIA Broadcast App for consumers<a href="#nvidia_broadcast_app_for_consumers" class="heading-anchor-link"><i class="fas fa-link"></i></a></h3> <p>For those who do not want to build custom applications but would like to access this feature, it is now available in the <a rel="noreferrer noopener follow" href="https://www.nvidia.com/en-us/design-visualization/software/broadcast-app/" target="_blank" data-wpel-link="internal">NVIDIA Broadcast App</a>. It can be enabled in a video conference and video broadcast application by selecting the NVIDIA Broadcast Camera.</p> <h2 id="contribute_to_our_growth" class="wp-block-heading">Contribute to our growth<a href="#contribute_to_our_growth" class="heading-anchor-link"><i class="fas fa-link"></i></a></h2> <p>As we continue to improve upon this in future releases, you can help us by contributing to the <a href="https://crowdsource.nvidia.com/en-us/maxine/eye-contact" target="_blank" rel="noreferrer noopener follow" data-wpel-link="internal">NVIDIA Maxine and NVIDIA Broadcast App.</a>&nbsp;</p> <!-- CONTENT END 1 --> </div> <div class="block--prospero-assets"> <h2 class="h--smaller txt-clr--blck"> Related resources </h2> <ul><li>GTC session: <a class='wpel-ignore' target='_blank' href='https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=1700692987788001F1cG&search=S72370&ncid=em-even-124008-vt33-23spring#/'>Create Multilingual 2D Digital Humans for Enterprise</a></li><li>GTC session: <a class='wpel-ignore' target='_blank' href='https://www.nvidia.com/gtc/session-catalog/?tab.catalogallsessionstab=1700692987788001F1cG&search=S71402&ncid=em-even-124008-vt33-23spring#/'>Maximize Contact Center Efficiency With NVIDIA AI: Boost First-Call Resolution and Cut Handle Time</a></li><li>NGC Containers: <a class='wpel-ignore' target='_blank' href='https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/maxine-eye-contact?ncid=em-nurt-245273-vt33'>Eye Contact</a></li><li>SDK: <a class='wpel-ignore' target='_blank' href='https://developer.nvidia.com/maxine?ncid=em-nurt-245273-vt33'>Live Portrait Microservice</a></li><li>SDK: <a class='wpel-ignore' target='_blank' href='https://developer.nvidia.com/maxine?ncid=em-nurt-245273-vt33'>Video Effects Microservice</a></li><li>SDK: <a class='wpel-ignore' target='_blank' href='https://developer.nvidia.com/maxine#:~:text=Maxine%20SDKs-,Video%20Effects%20SDK,-Maxine%E2%80%99s%20Video%20Effects?ncid=em-nurt-245273-vt33'>Video Effects SDK</a></li></ul> </div> <div class="card--post-attributes-secondary"> <div class="post--comments-count secondary--attribute"> <a href="#entry-content-comments"> <i class="fad fa-comment-alt-lines"></i> Discuss (0) </a> </div> <div class="post--rate secondary--attribute"> <div class="wpulike wpulike-heart " ><div class="wp_ulike_general_class wp_ulike_is_not_liked"><button type="button" aria-label="Like Button" data-ulike-id="59513" data-ulike-nonce="111212df17" data-ulike-type="post" data-ulike-template="wpulike-heart" data-ulike-display-likers="" data-ulike-likers-style="popover" class="wp_ulike_btn wp_ulike_put_text wp_post_btn_59513"><span><i class="far fa-thumbs-up"></i></span> </button><span class="count-box wp_ulike_counter_up" data-ulike-counter-value="+29"></span> </div></div> <span class="js-like-click like-click"> Like </span> </div> </div> <div class="card--post-attributes-secondary tags"> <div class="caption"> <h2 class="h--smaller txt-clr--blck">Tags</h2> </div> <div class="content-s post-tags--list mt-0"> <a href="https://developer.nvidia.com/blog/category/computer-vision/" data-wpel-link="internal" target="_blank" rel="follow noopener">Computer Vision / Video Analytics</a> | <a href="https://developer.nvidia.com/blog/category/graphics/" data-wpel-link="internal" target="_blank" rel="follow noopener">Content Creation / Rendering</a> | <a href="https://developer.nvidia.com/blog/recent-posts/?industry=Telecommunications" data-wpel-link="internal" target="_blank" rel="follow noopener">Telecommunications</a> | <a href="https://developer.nvidia.com/blog/recent-posts/?products=Maxine" data-wpel-link="internal" target="_blank" rel="follow noopener">Maxine</a> | <a href="https://developer.nvidia.com/blog/recent-posts/?learning_levels=Intermediate+Technical" data-wpel-link="internal" target="_blank" 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class="media author-info"> <div class="author-media-left media-left"> <img alt='Avatar photo' src='https://developer.nvidia.com/blog/wp-content/uploads/2018/10/Rochelle-Pereira_avatar_1539698088.jpg' srcset='https://developer.nvidia.com/blog/wp-content/uploads/2018/10/Rochelle-Pereira_avatar_1539698088.jpg 2x' class='avatar avatar-131 photo' height='131' width='131' loading='lazy' decoding='async'/> </div> <div class="author-media-body media-body"> <b> About Rochelle Pereira </b> <br/> Rochelle Pereira is a Director of Engineering at NVIDIA, with over a decade of experience on GPU drivers for video and gaming. She holds a M. S. degree in Electrical engineering from U.T. Arlington. She has spent the last few years focused on building SDK’s to enhance and accelerate Gaming, Audio and 360 degree video in Virtual Reality. <div id="author-link"> <a href="https://developer.nvidia.com/blog/author/rpereira/" rel="author follow noopener" data-wpel-link="internal" target="_blank"> View all posts by Rochelle Pereira<svg width="16" height="16" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 612"><path d="M305 239c9.4 9.4 9.4 24.6 0 33.9L113 465c-9.4 9.4-24.6 9.4-33.9 0s-9.4-24.6 0-33.9l175-175L79 81c-9.4-9.4-9.4-24.6 0-33.9s24.6-9.4 33.9 0L305 239z"/></svg> </a> </div> </div> </div> <div class="media author-info"> <div class="author-media-left media-left"> <img alt='Avatar photo' src='https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Jianyuan-Min-131x131.png' srcset='https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/Jianyuan-Min-262x262.png 2x' class='avatar avatar-131 photo' height='131' width='131' loading='lazy' decoding='async'/> </div> <div class="author-media-body media-body"> <b> About Jianyuan Min </b> <br/> Jianyuan Min is a Senior Software Engineering Manager at NVIDIA. In the past few years, he has focused on building computer vision and deep learning algorithms for NVIDIA Maxine. He received his Ph.D. in 2012 from the computer science department at Texas A&amp;M University. He has over 10 years of technical leadership in software development at Google, Magic Leap, and NVIDIA. <div id="author-link"> <a href="https://developer.nvidia.com/blog/author/jmin/" rel="author follow noopener" data-wpel-link="internal" target="_blank"> View all posts by Jianyuan Min<svg width="16" height="16" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 612"><path d="M305 239c9.4 9.4 9.4 24.6 0 33.9L113 465c-9.4 9.4-24.6 9.4-33.9 0s-9.4-24.6 0-33.9l175-175L79 81c-9.4-9.4-9.4-24.6 0-33.9s24.6-9.4 33.9 0L305 239z"/></svg> </a> </div> </div> </div> <div class="media author-info"> <div class="author-media-left media-left"> <img alt='Avatar photo' src='https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/nandita_headshot-1-e1673541147728-131x131.jpg' srcset='https://developer-blogs.nvidia.com/wp-content/uploads/2023/01/nandita_headshot-1-e1673541147728-262x262.jpg 2x' class='avatar avatar-131 photo' height='131' width='131' loading='lazy' decoding='async'/> </div> <div class="author-media-body media-body"> <b> About Nandita Nayak </b> <br/> Nandita Nayak is a Senior Software Developer at NVIDIA focused on deep learning and computer vision-based solutions for the NVIDIA Maxine team. Prior to joining she worked in research and development roles at Facebook, Samsung, and Konica Minolta. Nandita holds a Ph.D. specializing in Computer Vision from the University of California, Riverside, and a postgraduate degree in Computational Science from the Indian Institute of Science, Bangalore. <div id="author-link"> <a href="https://developer.nvidia.com/blog/author/nnayak/" rel="author follow noopener" data-wpel-link="internal" target="_blank"> View all posts by Nandita Nayak<svg width="16" height="16" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 320 612"><path d="M305 239c9.4 9.4 9.4 24.6 0 33.9L113 465c-9.4 9.4-24.6 9.4-33.9 0s-9.4-24.6 0-33.9l175-175L79 81c-9.4-9.4-9.4-24.6 0-33.9s24.6-9.4 33.9 0L305 239z"/></svg> </a> </div> </div> </div> </div> </div> <div class="entry-content-comments" id="entry-content-comments"> <div class="container" id="pf-disqus-thread"> <div class="row" id="respond"> <div class="col-md-12 related-posts-comments mb-0"><h2 class="h--smaller txt-clr--blck mb-0">Comments</h2></div> </div> <div class="row"> <div class="col-lg-12 col-md-12 col-sm-12 col-xs-12"> <div class="wpdc-comments-loading" id="wpdc-comments" data-post-id="59513"></div> </div> </div> </div> </div> <div id="main-content-end"></div> </div> <div id="sidebar" class="sidebar col-lg-3 col-md-3 mt-0"> <div class="sticky-top-pre"></div> <div class="sidebar-item not-sticky-top"> <div id="sidebar-content" class="sidebar__inner"> <script> window.is_post_page = true; window.nv_homepage_url = 'https://developer.nvidia.com/blog'; </script> <div class="block--related-posts prspr-related" data-source="nv"> <h2 class="h--smaller txt-clr--blck">Related posts</h2> <div class="carousel-row__slide js-post-card related-post--row" data-post-id="87546" data-post-title="Orchestrating Innovation at Scale with NVIDIA Maxine and Texel"> <div class="carousel-row-slide__inner"> <div class="carousel-row-slide__thumbnail"> <img width="1999" height="1124" src="https://developer-blogs.nvidia.com/wp-content/uploads/2024/08/maxine-eye-contact-texel-featured.jpg" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="Two images of the same person, one looking away from the camera (before) and one looking directly at the camera (after). 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C",SamsungTablet:"SAMSUNG.*Tablet|Galaxy.*Tab|SC-01C|GT-P1000|GT-P1003|GT-P1010|GT-P3105|GT-P6210|GT-P6800|GT-P6810|GT-P7100|GT-P7300|GT-P7310|GT-P7500|GT-P7510|SCH-I800|SCH-I815|SCH-I905|SGH-I957|SGH-I987|SGH-T849|SGH-T859|SGH-T869|SPH-P100|GT-P3100|GT-P3108|GT-P3110|GT-P5100|GT-P5110|GT-P6200|GT-P7320|GT-P7511|GT-N8000|GT-P8510|SGH-I497|SPH-P500|SGH-T779|SCH-I705|SCH-I915|GT-N8013|GT-P3113|GT-P5113|GT-P8110|GT-N8010|GT-N8005|GT-N8020|GT-P1013|GT-P6201|GT-P7501|GT-N5100|GT-N5105|GT-N5110|SHV-E140K|SHV-E140L|SHV-E140S|SHV-E150S|SHV-E230K|SHV-E230L|SHV-E230S|SHW-M180K|SHW-M180L|SHW-M180S|SHW-M180W|SHW-M300W|SHW-M305W|SHW-M380K|SHW-M380S|SHW-M380W|SHW-M430W|SHW-M480K|SHW-M480S|SHW-M480W|SHW-M485W|SHW-M486W|SHW-M500W|GT-I9228|SCH-P739|SCH-I925|GT-I9200|GT-P5200|GT-P5210|GT-P5210X|SM-T311|SM-T310|SM-T310X|SM-T210|SM-T210R|SM-T211|SM-P600|SM-P601|SM-P605|SM-P900|SM-P901|SM-T217|SM-T217A|SM-T217S|SM-P6000|SM-T3100|SGH-I467|XE500|SM-T110|GT-P5220|GT-I9200X|GT-N5110X|GT-N5120|SM-P905|SM-T111|SM-T2105|SM-T315|SM-T320|SM-T320X|SM-T321|SM-T520|SM-T525|SM-T530NU|SM-T230NU|SM-T330NU|SM-T900|XE500T1C|SM-P605V|SM-P905V|SM-T337V|SM-T537V|SM-T707V|SM-T807V|SM-P600X|SM-P900X|SM-T210X|SM-T230|SM-T230X|SM-T325|GT-P7503|SM-T531|SM-T330|SM-T530|SM-T705|SM-T705C|SM-T535|SM-T331|SM-T800|SM-T700|SM-T537|SM-T807|SM-P907A|SM-T337A|SM-T537A|SM-T707A|SM-T807A|SM-T237|SM-T807P|SM-P607T|SM-T217T|SM-T337T|SM-T807T|SM-T116NQ|SM-T116BU|SM-P550|SM-T350|SM-T550|SM-T9000|SM-P9000|SM-T705Y|SM-T805|GT-P3113|SM-T710|SM-T810|SM-T815|SM-T360|SM-T533|SM-T113|SM-T335|SM-T715|SM-T560|SM-T670|SM-T677|SM-T377|SM-T567|SM-T357T|SM-T555|SM-T561|SM-T713|SM-T719|SM-T813|SM-T819|SM-T580|SM-T355Y?|SM-T280|SM-T817A|SM-T820|SM-W700|SM-P580|SM-T587|SM-P350|SM-P555M|SM-P355M|SM-T113NU|SM-T815Y|SM-T585|SM-T285|SM-T825|SM-W708|SM-T835|SM-T830|SM-T837V|SM-T720|SM-T510|SM-T387V|SM-P610|SM-T290|SM-T515|SM-T590|SM-T595|SM-T725|SM-T817P|SM-P585N0|SM-T395|SM-T295|SM-T865|SM-P610N|SM-P615|SM-T970|SM-T380|SM-T5950|SM-T905|SM-T231|SM-T500|SM-T860",Kindle:"Kindle|Silk.*Accelerated|Android.*\\b(KFOT|KFTT|KFJWI|KFJWA|KFOTE|KFSOWI|KFTHWI|KFTHWA|KFAPWI|KFAPWA|WFJWAE|KFSAWA|KFSAWI|KFASWI|KFARWI|KFFOWI|KFGIWI|KFMEWI)\\b|Android.*Silk/[0-9.]+ like Chrome/[0-9.]+ (?!Mobile)",SurfaceTablet:"Windows NT [0-9.]+; ARM;.*(Tablet|ARMBJS)",HPTablet:"HP Slate (7|8|10)|HP ElitePad 900|hp-tablet|EliteBook.*Touch|HP 8|Slate 21|HP SlateBook 10",AsusTablet:"^.*PadFone((?!Mobile).)*$|Transformer|TF101|TF101G|TF300T|TF300TG|TF300TL|TF700T|TF700KL|TF701T|TF810C|ME171|ME301T|ME302C|ME371MG|ME370T|ME372MG|ME172V|ME173X|ME400C|Slider SL101|\\bK00F\\b|\\bK00C\\b|\\bK00E\\b|\\bK00L\\b|TX201LA|ME176C|ME102A|\\bM80TA\\b|ME372CL|ME560CG|ME372CG|ME302KL| K010 | K011 | K017 | K01E |ME572C|ME103K|ME170C|ME171C|\\bME70C\\b|ME581C|ME581CL|ME8510C|ME181C|P01Y|PO1MA|P01Z|\\bP027\\b|\\bP024\\b|\\bP00C\\b",BlackBerryTablet:"PlayBook|RIM Tablet",HTCtablet:"HTC_Flyer_P512|HTC Flyer|HTC Jetstream|HTC-P715a|HTC EVO View 4G|PG41200|PG09410",MotorolaTablet:"xoom|sholest|MZ615|MZ605|MZ505|MZ601|MZ602|MZ603|MZ604|MZ606|MZ607|MZ608|MZ609|MZ615|MZ616|MZ617",NookTablet:"Android.*Nook|NookColor|nook browser|BNRV200|BNRV200A|BNTV250|BNTV250A|BNTV400|BNTV600|LogicPD Zoom2",AcerTablet:"Android.*; \\b(A100|A101|A110|A200|A210|A211|A500|A501|A510|A511|A700|A701|W500|W500P|W501|W501P|W510|W511|W700|G100|G100W|B1-A71|B1-710|B1-711|A1-810|A1-811|A1-830)\\b|W3-810|\\bA3-A10\\b|\\bA3-A11\\b|\\bA3-A20\\b|\\bA3-A30|A3-A40",ToshibaTablet:"Android.*(AT100|AT105|AT200|AT205|AT270|AT275|AT300|AT305|AT1S5|AT500|AT570|AT700|AT830)|TOSHIBA.*FOLIO",LGTablet:"\\bL-06C|LG-V909|LG-V900|LG-V700|LG-V510|LG-V500|LG-V410|LG-V400|LG-VK810\\b",FujitsuTablet:"Android.*\\b(F-01D|F-02F|F-05E|F-10D|M532|Q572)\\b",PrestigioTablet:"PMP3170B|PMP3270B|PMP3470B|PMP7170B|PMP3370B|PMP3570C|PMP5870C|PMP3670B|PMP5570C|PMP5770D|PMP3970B|PMP3870C|PMP5580C|PMP5880D|PMP5780D|PMP5588C|PMP7280C|PMP7280C3G|PMP7280|PMP7880D|PMP5597D|PMP5597|PMP7100D|PER3464|PER3274|PER3574|PER3884|PER5274|PER5474|PMP5097CPRO|PMP5097|PMP7380D|PMP5297C|PMP5297C_QUAD|PMP812E|PMP812E3G|PMP812F|PMP810E|PMP880TD|PMT3017|PMT3037|PMT3047|PMT3057|PMT7008|PMT5887|PMT5001|PMT5002",LenovoTablet:"Lenovo TAB|Idea(Tab|Pad)( A1|A10| K1|)|ThinkPad([ ]+)?Tablet|YT3-850M|YT3-X90L|YT3-X90F|YT3-X90X|Lenovo.*(S2109|S2110|S5000|S6000|K3011|A3000|A3500|A1000|A2107|A2109|A1107|A5500|A7600|B6000|B8000|B8080)(-|)(FL|F|HV|H|)|TB-X103F|TB-X304X|TB-X304F|TB-X304L|TB-X505F|TB-X505L|TB-X505X|TB-X605F|TB-X605L|TB-8703F|TB-8703X|TB-8703N|TB-8704N|TB-8704F|TB-8704X|TB-8704V|TB-7304F|TB-7304I|TB-7304X|Tab2A7-10F|Tab2A7-20F|TB2-X30L|YT3-X50L|YT3-X50F|YT3-X50M|YT-X705F|YT-X703F|YT-X703L|YT-X705L|YT-X705X|TB2-X30F|TB2-X30L|TB2-X30M|A2107A-F|A2107A-H|TB3-730F|TB3-730M|TB3-730X|TB-7504F|TB-7504X|TB-X704F|TB-X104F|TB3-X70F|TB-X705F|TB-8504F|TB3-X70L|TB3-710F|TB-X704L",DellTablet:"Venue 11|Venue 8|Venue 7|Dell Streak 10|Dell Streak 7",YarvikTablet:"Android.*\\b(TAB210|TAB211|TAB224|TAB250|TAB260|TAB264|TAB310|TAB360|TAB364|TAB410|TAB411|TAB420|TAB424|TAB450|TAB460|TAB461|TAB464|TAB465|TAB467|TAB468|TAB07-100|TAB07-101|TAB07-150|TAB07-151|TAB07-152|TAB07-200|TAB07-201-3G|TAB07-210|TAB07-211|TAB07-212|TAB07-214|TAB07-220|TAB07-400|TAB07-485|TAB08-150|TAB08-200|TAB08-201-3G|TAB08-201-30|TAB09-100|TAB09-211|TAB09-410|TAB10-150|TAB10-201|TAB10-211|TAB10-400|TAB10-410|TAB13-201|TAB274EUK|TAB275EUK|TAB374EUK|TAB462EUK|TAB474EUK|TAB9-200)\\b",MedionTablet:"Android.*\\bOYO\\b|LIFE.*(P9212|P9514|P9516|S9512)|LIFETAB",ArnovaTablet:"97G4|AN10G2|AN7bG3|AN7fG3|AN8G3|AN8cG3|AN7G3|AN9G3|AN7dG3|AN7dG3ST|AN7dG3ChildPad|AN10bG3|AN10bG3DT|AN9G2",IntensoTablet:"INM8002KP|INM1010FP|INM805ND|Intenso Tab|TAB1004",IRUTablet:"M702pro",MegafonTablet:"MegaFon V9|\\bZTE V9\\b|Android.*\\bMT7A\\b",EbodaTablet:"E-Boda (Supreme|Impresspeed|Izzycomm|Essential)",AllViewTablet:"Allview.*(Viva|Alldro|City|Speed|All TV|Frenzy|Quasar|Shine|TX1|AX1|AX2)",ArchosTablet:"\\b(101G9|80G9|A101IT)\\b|Qilive 97R|Archos5|\\bARCHOS (70|79|80|90|97|101|FAMILYPAD|)(b|c|)(G10| Cobalt| TITANIUM(HD|)| Xenon| Neon|XSK| 2| XS 2| PLATINUM| CARBON|GAMEPAD)\\b",AinolTablet:"NOVO7|NOVO8|NOVO10|Novo7Aurora|Novo7Basic|NOVO7PALADIN|novo9-Spark",NokiaLumiaTablet:"Lumia 2520",SonyTablet:"Sony.*Tablet|Xperia Tablet|Sony Tablet S|SO-03E|SGPT12|SGPT13|SGPT114|SGPT121|SGPT122|SGPT123|SGPT111|SGPT112|SGPT113|SGPT131|SGPT132|SGPT133|SGPT211|SGPT212|SGPT213|SGP311|SGP312|SGP321|EBRD1101|EBRD1102|EBRD1201|SGP351|SGP341|SGP511|SGP512|SGP521|SGP541|SGP551|SGP621|SGP641|SGP612|SOT31|SGP771|SGP611|SGP612|SGP712",PhilipsTablet:"\\b(PI2010|PI3000|PI3100|PI3105|PI3110|PI3205|PI3210|PI3900|PI4010|PI7000|PI7100)\\b",CubeTablet:"Android.*(K8GT|U9GT|U10GT|U16GT|U17GT|U18GT|U19GT|U20GT|U23GT|U30GT)|CUBE 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\\b(E3A|T3X|T5C|T5B|T3E|T3C|T3B|T1J|T1F|T2A|T1H|T1i|E1C|T1-E|T5-A|T4|E1-B|T2Ci|T1-B|T1-D|O1-A|E1-A|T1-A|T3A|T4i)\\b ",DanyTechTablet:"Genius Tab G3|Genius Tab S2|Genius Tab Q3|Genius Tab G4|Genius Tab Q4|Genius Tab G-II|Genius TAB GII|Genius TAB GIII|Genius Tab S1",GalapadTablet:"Android [0-9.]+; [a-z-]+; \\bG1\\b",MicromaxTablet:"Funbook|Micromax.*\\b(P250|P560|P360|P362|P600|P300|P350|P500|P275)\\b",KarbonnTablet:"Android.*\\b(A39|A37|A34|ST8|ST10|ST7|Smart Tab3|Smart Tab2)\\b",AllFineTablet:"Fine7 Genius|Fine7 Shine|Fine7 Air|Fine8 Style|Fine9 More|Fine10 Joy|Fine11 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7004|FreeTAB 7800|FreeTAB 2096|FreeTAB 7.5|FreeTAB 1014|FreeTAB 1001 |FreeTAB 8001|FreeTAB 9706|FreeTAB 9702|FreeTAB 7003|FreeTAB 7002|FreeTAB 1002|FreeTAB 7801|FreeTAB 1331|FreeTAB 1004|FreeTAB 8002|FreeTAB 8014|FreeTAB 9704|FreeTAB 1003",VoninoTablet:"\\b(Argus[ _]?S|Diamond[ _]?79HD|Emerald[ _]?78E|Luna[ _]?70C|Onyx[ _]?S|Onyx[ _]?Z|Orin[ _]?HD|Orin[ _]?S|Otis[ _]?S|SpeedStar[ _]?S|Magnet[ _]?M9|Primus[ _]?94[ _]?3G|Primus[ _]?94HD|Primus[ _]?QS|Android.*\\bQ8\\b|Sirius[ _]?EVO[ _]?QS|Sirius[ _]?QS|Spirit[ _]?S)\\b",ECSTablet:"V07OT2|TM105A|S10OT1|TR10CS1",StorexTablet:"eZee[_']?(Tab|Go)[0-9]+|TabLC7|Looney Tunes Tab",VodafoneTablet:"SmartTab([ ]+)?[0-9]+|SmartTabII10|SmartTabII7|VF-1497|VFD 1400",EssentielBTablet:"Smart[ ']?TAB[ ]+?[0-9]+|Family[ ']?TAB2",RossMoorTablet:"RM-790|RM-997|RMD-878G|RMD-974R|RMT-705A|RMT-701|RME-601|RMT-501|RMT-711",iMobileTablet:"i-mobile i-note",TolinoTablet:"tolino tab [0-9.]+|tolino shine",AudioSonicTablet:"\\bC-22Q|T7-QC|T-17B|T-17P\\b",AMPETablet:"Android.* A78 ",SkkTablet:"Android.* (SKYPAD|PHOENIX|CYCLOPS)",TecnoTablet:"TECNO P9|TECNO DP8D",JXDTablet:"Android.* \\b(F3000|A3300|JXD5000|JXD3000|JXD2000|JXD300B|JXD300|S5800|S7800|S602b|S5110b|S7300|S5300|S602|S603|S5100|S5110|S601|S7100a|P3000F|P3000s|P101|P200s|P1000m|P200m|P9100|P1000s|S6600b|S908|P1000|P300|S18|S6600|S9100)\\b",iJoyTablet:"Tablet (Spirit 7|Essentia|Galatea|Fusion|Onix 7|Landa|Titan|Scooby|Deox|Stella|Themis|Argon|Unique 7|Sygnus|Hexen|Finity 7|Cream|Cream X2|Jade|Neon 7|Neron 7|Kandy|Scape|Saphyr 7|Rebel|Biox|Rebel|Rebel 8GB|Myst|Draco 7|Myst|Tab7-004|Myst|Tadeo Jones|Tablet Boing|Arrow|Draco Dual Cam|Aurix|Mint|Amity|Revolution|Finity 9|Neon 9|T9w|Amity 4GB Dual Cam|Stone 4GB|Stone 8GB|Andromeda|Silken|X2|Andromeda II|Halley|Flame|Saphyr 9,7|Touch 8|Planet|Triton|Unique 10|Hexen 10|Memphis 4GB|Memphis 8GB|Onix 10)",FX2Tablet:"FX2 PAD7|FX2 PAD10",XoroTablet:"KidsPAD 701|PAD[ ]?712|PAD[ ]?714|PAD[ ]?716|PAD[ ]?717|PAD[ ]?718|PAD[ ]?720|PAD[ ]?721|PAD[ ]?722|PAD[ ]?790|PAD[ ]?792|PAD[ ]?900|PAD[ ]?9715D|PAD[ ]?9716DR|PAD[ ]?9718DR|PAD[ ]?9719QR|PAD[ ]?9720QR|TelePAD1030|Telepad1032|TelePAD730|TelePAD731|TelePAD732|TelePAD735Q|TelePAD830|TelePAD9730|TelePAD795|MegaPAD 1331|MegaPAD 1851|MegaPAD 2151",ViewsonicTablet:"ViewPad 10pi|ViewPad 10e|ViewPad 10s|ViewPad E72|ViewPad7|ViewPad E100|ViewPad 7e|ViewSonic VB733|VB100a",VerizonTablet:"QTAQZ3|QTAIR7|QTAQTZ3|QTASUN1|QTASUN2|QTAXIA1",OdysTablet:"LOOX|XENO10|ODYS[ -](Space|EVO|Xpress|NOON)|\\bXELIO\\b|Xelio10Pro|XELIO7PHONETAB|XELIO10EXTREME|XELIOPT2|NEO_QUAD10",CaptivaTablet:"CAPTIVA PAD",IconbitTablet:"NetTAB|NT-3702|NT-3702S|NT-3702S|NT-3603P|NT-3603P|NT-0704S|NT-0704S|NT-3805C|NT-3805C|NT-0806C|NT-0806C|NT-0909T|NT-0909T|NT-0907S|NT-0907S|NT-0902S|NT-0902S",TeclastTablet:"T98 4G|\\bP80\\b|\\bX90HD\\b|X98 Air|X98 Air 3G|\\bX89\\b|P80 3G|\\bX80h\\b|P98 Air|\\bX89HD\\b|P98 3G|\\bP90HD\\b|P89 3G|X98 3G|\\bP70h\\b|P79HD 3G|G18d 3G|\\bP79HD\\b|\\bP89s\\b|\\bA88\\b|\\bP10HD\\b|\\bP19HD\\b|G18 3G|\\bP78HD\\b|\\bA78\\b|\\bP75\\b|G17s 3G|G17h 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\\b4G\\b",JaytechTablet:"TPC-PA762",BlaupunktTablet:"Endeavour 800NG|Endeavour 1010",DigmaTablet:"\\b(iDx10|iDx9|iDx8|iDx7|iDxD7|iDxD8|iDsQ8|iDsQ7|iDsQ8|iDsD10|iDnD7|3TS804H|iDsQ11|iDj7|iDs10)\\b",EvolioTablet:"ARIA_Mini_wifi|Aria[ _]Mini|Evolio X10|Evolio X7|Evolio X8|\\bEvotab\\b|\\bNeura\\b",LavaTablet:"QPAD E704|\\bIvoryS\\b|E-TAB IVORY|\\bE-TAB\\b",AocTablet:"MW0811|MW0812|MW0922|MTK8382|MW1031|MW0831|MW0821|MW0931|MW0712",MpmanTablet:"MP11 OCTA|MP10 OCTA|MPQC1114|MPQC1004|MPQC994|MPQC974|MPQC973|MPQC804|MPQC784|MPQC780|\\bMPG7\\b|MPDCG75|MPDCG71|MPDC1006|MP101DC|MPDC9000|MPDC905|MPDC706HD|MPDC706|MPDC705|MPDC110|MPDC100|MPDC99|MPDC97|MPDC88|MPDC8|MPDC77|MP709|MID701|MID711|MID170|MPDC703|MPQC1010",CelkonTablet:"CT695|CT888|CT[\\s]?910|CT7 Tab|CT9 Tab|CT3 Tab|CT2 Tab|CT1 Tab|C820|C720|\\bCT-1\\b",WolderTablet:"miTab \\b(DIAMOND|SPACE|BROOKLYN|NEO|FLY|MANHATTAN|FUNK|EVOLUTION|SKY|GOCAR|IRON|GENIUS|POP|MINT|EPSILON|BROADWAY|JUMP|HOP|LEGEND|NEW AGE|LINE|ADVANCE|FEEL|FOLLOW|LIKE|LINK|LIVE|THINK|FREEDOM|CHICAGO|CLEVELAND|BALTIMORE-GH|IOWA|BOSTON|SEATTLE|PHOENIX|DALLAS|IN 101|MasterChef)\\b",MediacomTablet:"M-MPI10C3G|M-SP10EG|M-SP10EGP|M-SP10HXAH|M-SP7HXAH|M-SP10HXBH|M-SP8HXAH|M-SP8MXA",MiTablet:"\\bMI PAD\\b|\\bHM NOTE 1W\\b",NibiruTablet:"Nibiru M1|Nibiru Jupiter One",NexoTablet:"NEXO NOVA|NEXO 10|NEXO AVIO|NEXO FREE|NEXO GO|NEXO EVO|NEXO 3G|NEXO SMART|NEXO KIDDO|NEXO MOBI",LeaderTablet:"TBLT10Q|TBLT10I|TBL-10WDKB|TBL-10WDKBO2013|TBL-W230V2|TBL-W450|TBL-W500|SV572|TBLT7I|TBA-AC7-8G|TBLT79|TBL-8W16|TBL-10W32|TBL-10WKB|TBL-W100",UbislateTablet:"UbiSlate[\\s]?7C",PocketBookTablet:"Pocketbook",KocasoTablet:"\\b(TB-1207)\\b",HisenseTablet:"\\b(F5281|E2371)\\b",Hudl:"Hudl HT7S3|Hudl 2",TelstraTablet:"T-Hub2",GenericTablet:"Android.*\\b97D\\b|Tablet(?!.*PC)|BNTV250A|MID-WCDMA|LogicPD Zoom2|\\bA7EB\\b|CatNova8|A1_07|CT704|CT1002|\\bM721\\b|rk30sdk|\\bEVOTAB\\b|M758A|ET904|ALUMIUM10|Smartfren Tab|Endeavour 1010|Tablet-PC-4|Tagi Tab|\\bM6pro\\b|CT1020W|arc 10HD|\\bTP750\\b|\\bQTAQZ3\\b|WVT101|TM1088|KT107"},oss:{AndroidOS:"Android",BlackBerryOS:"blackberry|\\bBB10\\b|rim tablet os",PalmOS:"PalmOS|avantgo|blazer|elaine|hiptop|palm|plucker|xiino",SymbianOS:"Symbian|SymbOS|Series60|Series40|SYB-[0-9]+|\\bS60\\b",WindowsMobileOS:"Windows CE.*(PPC|Smartphone|Mobile|[0-9]{3}x[0-9]{3})|Windows Mobile|Windows Phone [0-9.]+|WCE;",WindowsPhoneOS:"Windows Phone 10.0|Windows Phone 8.1|Windows Phone 8.0|Windows Phone OS|XBLWP7|ZuneWP7|Windows NT 6.[23]; ARM;",iOS:"\\biPhone.*Mobile|\\biPod|\\biPad|AppleCoreMedia",iPadOS:"CPU OS 13",SailfishOS:"Sailfish",MeeGoOS:"MeeGo",MaemoOS:"Maemo",JavaOS:"J2ME/|\\bMIDP\\b|\\bCLDC\\b",webOS:"webOS|hpwOS",badaOS:"\\bBada\\b",BREWOS:"BREW"},uas:{Chrome:"\\bCrMo\\b|CriOS|Android.*Chrome/[.0-9]* (Mobile)?",Dolfin:"\\bDolfin\\b",Opera:"Opera.*Mini|Opera.*Mobi|Android.*Opera|Mobile.*OPR/[0-9.]+$|Coast/[0-9.]+",Skyfire:"Skyfire",Edge:"\\bEdgiOS\\b|Mobile Safari/[.0-9]* Edge",IE:"IEMobile|MSIEMobile",Firefox:"fennec|firefox.*maemo|(Mobile|Tablet).*Firefox|Firefox.*Mobile|FxiOS",Bolt:"bolt",TeaShark:"teashark",Blazer:"Blazer",Safari:"Version((?!\\bEdgiOS\\b).)*Mobile.*Safari|Safari.*Mobile|MobileSafari",WeChat:"\\bMicroMessenger\\b",UCBrowser:"UC.*Browser|UCWEB",baiduboxapp:"baiduboxapp",baidubrowser:"baidubrowser",DiigoBrowser:"DiigoBrowser",Mercury:"\\bMercury\\b",ObigoBrowser:"Obigo",NetFront:"NF-Browser",GenericBrowser:"NokiaBrowser|OviBrowser|OneBrowser|TwonkyBeamBrowser|SEMC.*Browser|FlyFlow|Minimo|NetFront|Novarra-Vision|MQQBrowser|MicroMessenger",PaleMoon:"Android.*PaleMoon|Mobile.*PaleMoon"},props:{Mobile:"Mobile/[VER]",Build:"Build/[VER]",Version:"Version/[VER]",VendorID:"VendorID/[VER]",iPad:"iPad.*CPU[a-z ]+[VER]",iPhone:"iPhone.*CPU[a-z ]+[VER]",iPod:"iPod.*CPU[a-z ]+[VER]",Kindle:"Kindle/[VER]",Chrome:["Chrome/[VER]","CriOS/[VER]","CrMo/[VER]"],Coast:["Coast/[VER]"],Dolfin:"Dolfin/[VER]",Firefox:["Firefox/[VER]","FxiOS/[VER]"],Fennec:"Fennec/[VER]",Edge:"Edge/[VER]",IE:["IEMobile/[VER];","IEMobile [VER]","MSIE [VER];","Trident/[0-9.]+;.*rv:[VER]"],NetFront:"NetFront/[VER]",NokiaBrowser:"NokiaBrowser/[VER]",Opera:[" OPR/[VER]","Opera Mini/[VER]","Version/[VER]"],"Opera Mini":"Opera Mini/[VER]","Opera Mobi":"Version/[VER]",UCBrowser:["UCWEB[VER]","UC.*Browser/[VER]"],MQQBrowser:"MQQBrowser/[VER]",MicroMessenger:"MicroMessenger/[VER]",baiduboxapp:"baiduboxapp/[VER]",baidubrowser:"baidubrowser/[VER]",SamsungBrowser:"SamsungBrowser/[VER]",Iron:"Iron/[VER]",Safari:["Version/[VER]","Safari/[VER]"],Skyfire:"Skyfire/[VER]",Tizen:"Tizen/[VER]",Webkit:"webkit[ /][VER]",PaleMoon:"PaleMoon/[VER]",SailfishBrowser:"SailfishBrowser/[VER]",Gecko:"Gecko/[VER]",Trident:"Trident/[VER]",Presto:"Presto/[VER]",Goanna:"Goanna/[VER]",iOS:" \\bi?OS\\b [VER][ ;]{1}",Android:"Android [VER]",Sailfish:"Sailfish [VER]",BlackBerry:["BlackBerry[\\w]+/[VER]","BlackBerry.*Version/[VER]","Version/[VER]"],BREW:"BREW [VER]",Java:"Java/[VER]","Windows Phone OS":["Windows Phone OS [VER]","Windows Phone [VER]"],"Windows Phone":"Windows Phone [VER]","Windows CE":"Windows CE/[VER]","Windows NT":"Windows NT [VER]",Symbian:["SymbianOS/[VER]","Symbian/[VER]"],webOS:["webOS/[VER]","hpwOS/[VER];"]},utils:{Bot:"Googlebot|facebookexternalhit|Google-AMPHTML|s~amp-validator|AdsBot-Google|Google Keyword Suggestion|Facebot|YandexBot|YandexMobileBot|bingbot|ia_archiver|AhrefsBot|Ezooms|GSLFbot|WBSearchBot|Twitterbot|TweetmemeBot|Twikle|PaperLiBot|Wotbox|UnwindFetchor|Exabot|MJ12bot|YandexImages|TurnitinBot|Pingdom|contentkingapp|AspiegelBot",MobileBot:"Googlebot-Mobile|AdsBot-Google-Mobile|YahooSeeker/M1A1-R2D2",DesktopMode:"WPDesktop",TV:"SonyDTV|HbbTV",WebKit:"(webkit)[ /]([\\w.]+)",Console:"\\b(Nintendo|Nintendo WiiU|Nintendo 3DS|Nintendo Switch|PLAYSTATION|Xbox)\\b",Watch:"SM-V700"}},g.detectMobileBrowsers={fullPattern:/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i, shortPattern:/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g 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