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Leading innovation in mobile perception technologies @ Hayden AI
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style="background-image:url(https://cdn.sanity.io/images/q6pmksqm/production/f2acfe0b08107b02c13ec8dfbfdb2554e09c9f41-1536x949.png?q=100&fit=fillmax&auto=format)"><div class="absolute top-0 z-10 flex h-full w-full items-center justify-center bg-[linear-gradient(90deg,_rgba(0,_0,_0,_0.27)_40%,_rgba(0,_0,_0,_0)_100%)]"><div class="absolute left-0 top-0 h-full w-full bg-[linear-gradient(90deg,_rgba(0,_0,_0,_0.6)_0%,_rgba(0,_0,_0,_0)_100%)] md:w-3/4 md:bg-[linear-gradient(90deg,_rgba(0,_0,_0,_0.6)_33.85%,_rgba(0,_0,_0,_0)_100%)] md:backdrop-blur-[2px] xl:w-1/2"></div><div class="relative mt-[-13%] w-full pl-5 pr-8 md:px-10 xl:px-[5.2%] 2xl:mx-auto 2xl:max-w-[82rem] 2xl:px-0"><h1 class="mb-4 w-full max-w-[46.4375rem] text-2xl font-bold [text-wrap:balance] sm:mb-3 sm:w-[75%] sm:text-3xl md:w-[52%] lg:mb-5 lg:text-4xl xl:text-5xl">Leading innovation in mobile perception technologies.</h1><h2 class="w-full max-w-[46.4375rem] text-base font-bold [text-wrap:balance] sm:w-[75%] sm:text-lg 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(min-width: 1536px){.css-1u4vgcs{padding-left:0px;padding-right:0px;}}</style><div class="css-1u4vgcs"><style data-emotion="css 188hv9k">.css-188hv9k{margin-left:auto;margin-right:auto;margin-bottom:2.5rem;width:100%;max-width:86rem;}</style><div class="css-188hv9k"><style data-emotion="css 1r5q4zp">.css-1r5q4zp{margin-bottom:-1.25rem;margin-left:1.25rem;font-size:1.5rem;line-height:150%;font-weight:700;}@media (min-width: 768px){.css-1r5q4zp{margin-bottom:-1rem;margin-left:2.75rem;}}@media (min-width: 1280px){.css-1r5q4zp{margin-bottom:-1.25rem;font-size:3rem;line-height:100%;}}</style><p class="css-1r5q4zp">Our</p><style data-emotion="css 6gnv6l">.css-6gnv6l{font-size:3rem;line-height:100%;font-weight:900;}@media (min-width: 768px){.css-6gnv6l{font-size:3.75rem;line-height:95%;}}@media (min-width: 1280px){.css-6gnv6l{font-size:8rem;line-height:95%;}}</style><h2 class="css-6gnv6l">Patents</h2></div><style data-emotion="css diufao">.css-diufao{margin-left:auto;margin-right:auto;width:100%;max-width:71.4375rem;}</style><div class="css-diufao"><style data-emotion="css wl2xyh">.css-wl2xyh{margin-bottom:2.25rem;font-size:1.25rem;line-height:175%;font-weight:700;}@media (min-width: 768px){.css-wl2xyh{margin-bottom:3rem;}}@media (min-width: 1280px){.css-wl2xyh{margin-bottom:2.75rem;font-size:1.5rem;line-height:150%;}}</style><h3 class="css-wl2xyh">Hayden AI's products are covered by U.S. patents and pending applications.</h3><style data-emotion="css 1i79c7k">.css-1i79c7k{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}.css-1i79c7k >:not([hidden])~:not([hidden]){--tw-space-y-reverse:0;margin-top:calc(5px * calc(1 - var(--tw-space-y-reverse)));margin-bottom:calc(5px * var(--tw-space-y-reverse));}</style><div class="css-1i79c7k"><style data-emotion="css 1ndhwny">.css-1ndhwny{--tw-text-opacity:1;color:rgb(0 0 0 / var(--tw-text-opacity));}</style><div class="css-1ndhwny"><style data-emotion="css 1e0b08t">.css-1e0b08t:hover{--tw-bg-opacity:1!important;background-color:rgb(225 236 244 / var(--tw-bg-opacity))!important;}</style><style data-emotion="css nv3tq1">.css-nv3tq1{width:100%;padding-left:1.25rem;padding-right:1.25rem;padding-top:1rem;padding-bottom:1rem;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;text-align:left;font-weight:700;transition-property:color,background-color,border-color,text-decoration-color,fill,stroke,opacity,box-shadow,transform,filter,backdrop-filter;transition-timing-function:cubic-bezier(0.4, 0, 0.2, 1);transition-duration:300ms;}.css-nv3tq1 >:not([hidden])~:not([hidden]){--tw-space-x-reverse:0;margin-right:calc(1.25rem * var(--tw-space-x-reverse));margin-left:calc(1.25rem * calc(1 - var(--tw-space-x-reverse)));}@media (min-width: 768px){.css-nv3tq1{-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;padding-left:2rem;padding-right:2rem;padding-top:25px;padding-bottom:25px;font-size:1.125rem;line-height:160%;}}@media (min-width: 1280px){.css-nv3tq1{padding-left:2.75rem;padding-right:2.75rem;padding-top:30px;padding-bottom:30px;font-size:1.5rem;line-height:150%;}}.css-nv3tq1:hover{--tw-bg-opacity:1!important;background-color:rgb(225 236 244 / var(--tw-bg-opacity))!important;}</style><button style="background-color:rgba(243, 248, 252, 1);margin-bottom:0px" class="css-nv3tq1 erokikt0"><style data-emotion="css 1vpm8e9">.css-1vpm8e9{text-transform:uppercase;}@media (min-width: 768px){.css-1vpm8e9{padding-right:2rem;}}</style><p class="css-1vpm8e9">Mobile Perception System</p><style data-emotion="css 543d07">.css-543d07{font-size:1.875rem;line-height:130%;}</style><p style="transform:rotate(0deg)" class="css-543d07"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" d="M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708"></path></svg></p></button><style data-emotion="css 1xifnbc">.css-1xifnbc{overflow:hidden;transition-property:color,background-color,border-color,text-decoration-color,fill,stroke,opacity,box-shadow,transform,filter,backdrop-filter;transition-timing-function:cubic-bezier(0.4, 0, 0.2, 1);transition-duration:300ms;--tw-bg-opacity:1;background-color:rgb(225 236 244 / var(--tw-bg-opacity));}.css-1xifnbc p{font-size:.875rem;line-height:160%;}@media (min-width: 768px){.css-1xifnbc p{font-size:1rem;line-height:160%;}}@media (min-width: 1280px){.css-1xifnbc p{font-size:1.125rem;line-height:160%;}}</style><div style="height:0" class="css-1xifnbc erokikt1"><style data-emotion="css 1bkpfqp">.css-1bkpfqp{padding-left:1.25rem;padding-right:1.25rem;padding-top:1.75rem;padding-bottom:1.75rem;}@media (min-width: 768px){.css-1bkpfqp{padding-left:5rem;padding-right:5rem;padding-top:2.25rem;padding-bottom:2.25rem;}}@media (min-width: 1280px){.css-1bkpfqp{padding-top:3.5rem;padding-bottom:3.5rem;}}</style><div class="css-1bkpfqp"><style data-emotion="css 1gaqt2j">.css-1gaqt2j{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;}.css-1gaqt2j >:not([hidden])~:not([hidden]){--tw-space-y-reverse:0;margin-top:calc(1rem * calc(1 - var(--tw-space-y-reverse)));margin-bottom:calc(1rem * var(--tw-space-y-reverse));}@media (min-width: 1280px){.css-1gaqt2j >:not([hidden])~:not([hidden]){--tw-space-y-reverse:0;margin-top:calc(1.25rem * calc(1 - var(--tw-space-y-reverse)));margin-bottom:calc(1.25rem * var(--tw-space-y-reverse));}}</style><div class="css-1gaqt2j"><p class="text-sm md:text-base xl:text-lg"><span class="font-bold">An end-to-end framework that captures and processes video data to detect traffic violations involving a vehicle and a restricted road area.</span></p><ul class="ml-8 flex list-outside list-disc flex-col space-y-1 text-sm md:ml-10 md:text-base xl:ml-10 xl:text-lg"><li>Near real-time detection of traffic violations</li><li>Edge processing using mobile perception devices</li><li>Communication with a central cloud server for further processing</li><li>Reasoning engine that verifies detected traffic violations</li></ul><p class="text-sm md:text-base xl:text-lg"></p><p class="text-sm md:text-base xl:text-lg">U.S. Patent Number 11,003,919 B1</p><p class="text-sm md:text-base xl:text-lg"></p><p class="text-sm md:text-base xl:text-lg"></p><style data-emotion="css oxl959">.css-oxl959{width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;border-radius:45px;font-weight:700;transition-property:all;transition-timing-function:cubic-bezier(0.4, 0, 0.2, 1);transition-duration:300ms;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;}.css-oxl959:hover{cursor:pointer;}</style><a class="css-oxl959" href="/blog/hayden-ai-awarded-patent-for-end-to-end-system-that-detects-traffic-violations"><style data-emotion="css 1wyhta8">.css-1wyhta8{display:inline-block;width:-webkit-fit-content;width:-moz-fit-content;width:fit-content;border-radius:45px;font-weight:700;transition-property:all;transition-timing-function:cubic-bezier(0.4, 0, 0.2, 1);transition-duration:300ms;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;padding-left:1.5rem;padding-right:1.5rem;padding-top:0.375rem;padding-bottom:0.375rem;font-size:.875rem;line-height:160%;--tw-bg-opacity:1;background-color:rgb(49 103 255 / var(--tw-bg-opacity));--tw-text-opacity:1;color:rgb(255 255 255 / var(--tw-text-opacity));}.css-1wyhta8:hover{cursor:pointer;}@media (min-width: 768px){.css-1wyhta8{padding-left:2rem;padding-right:2rem;padding-top:0.5rem;padding-bottom:0.5rem;}}@media (min-width: 1280px){.css-1wyhta8{font-size:1rem;line-height:160%;}}.css-1wyhta8:hover{--tw-bg-opacity:1;background-color:rgb(28 61 177 / var(--tw-bg-opacity));}</style><span class="css-1wyhta8">Read More</span></a></div></div></div></div><div class="css-1ndhwny"><button style="background-color:rgba(243, 248, 252, 1);margin-bottom:0px" class="css-nv3tq1 erokikt0"><p class="css-1vpm8e9">Powerful Edge Machine Vision</p><p style="transform:rotate(0deg)" class="css-543d07"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" d="M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708"></path></svg></p></button><div style="height:0" class="css-1xifnbc erokikt1"><div class="css-1bkpfqp"><div class="css-1gaqt2j"><p class="text-sm md:text-base xl:text-lg"><span class="font-bold">An algorithm that analyzes video frames to identify vehicles and lanes of interest (LOI), their relative positions, and the degree of overlap between them.</span></p><ul class="ml-8 flex list-outside list-disc flex-col space-y-1 text-sm md:ml-10 md:text-base xl:ml-10 xl:text-lg"><li>Leverages advanced computer vision and deep learning methods</li><li>Identifies the relative positions of vehicles with centimeter-level accuracy</li><li>Distinguishes between multiple lanes on a particular roadway</li><li>Computes the degree of overlap between vehicles and lanes at the edge</li></ul><p class="text-sm md:text-base xl:text-lg"></p><p class="text-sm md:text-base xl:text-lg">U.S. Patent Number 11,164,014 B1</p><p class="text-sm md:text-base xl:text-lg"></p><a class="css-oxl959" href="/blog/hayden-ai-awarded-patent-for-algorithm-that-detects-traffic-lane-violations"><span class="css-1wyhta8">Read More</span></a></div></div></div></div><div class="css-1ndhwny"><button style="background-color:rgba(243, 248, 252, 1);margin-bottom:0px" class="css-nv3tq1 erokikt0"><p class="css-1vpm8e9">Mapping With Policy Layer</p><p style="transform:rotate(0deg)" class="css-543d07"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" d="M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708"></path></svg></p></button><div style="height:0" class="css-1xifnbc erokikt1"><div class="css-1bkpfqp"><div class="css-1gaqt2j"><p class="text-sm md:text-base xl:text-lg"><span class="font-bold">Semantic maps are embedded with policy layers annotated with traffic enforcement rules to provide context about the severity and causation of traffic violations.</span></p><ul class="ml-8 flex list-outside list-disc flex-col space-y-1 text-sm md:ml-10 md:text-base xl:ml-10 xl:text-lg"><li>Provides spatial awareness to mobile perception devices</li><li>Segments the scene at a pixel-level and tracks salient visual points</li><li>Allows government agencies to manage traffic enforcement rules</li><li>Interactive map editor to modify traffic rules and enforcement logic</li></ul><p class="text-sm md:text-base xl:text-lg"></p><p class="text-sm md:text-base xl:text-lg">U.S. Patent Number 11,322,017 B1</p><p class="text-sm md:text-base xl:text-lg"></p><a class="css-oxl959" href="/blog/hayden-ai-awarded-patent-for-method-that-facilitates-traffic-rule-management"><span class="css-1wyhta8">Read More</span></a></div></div></div></div><div class="css-1ndhwny"><button style="background-color:rgba(243, 248, 252, 1);margin-bottom:0px" class="css-nv3tq1 erokikt0"><p class="css-1vpm8e9">Behind-the-Windshield AI Camera System</p><p style="transform:rotate(0deg)" class="css-543d07"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" d="M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708"></path></svg></p></button><div style="height:0" class="css-1xifnbc erokikt1"><div class="css-1bkpfqp"><div class="css-1gaqt2j"><p class="text-sm md:text-base xl:text-lg"><span class="font-bold">Camera technology is capable of detecting objects behind windshields at night and in all weather conditions, ensuring that automated bus lane enforcement is accurate and scalable</span></p><ul class="ml-8 flex list-outside list-disc flex-col space-y-1 text-sm md:ml-10 md:text-base xl:ml-10 xl:text-lg"><li>A novel camera system design that captures both frontal context view and angled license plate view </li><li>First camera design with night vision that functions behind the windshield</li><li>Easier management for installation, maintenance and operations.</li></ul><p class="text-sm md:text-base xl:text-lg">US Patent No: US11,689,787</p><p class="text-sm md:text-base xl:text-lg"></p><a class="css-oxl959" href="/press/hayden-ai-granted-patent"><span class="css-1wyhta8">Read More</span></a></div></div></div></div><div class="css-1ndhwny"><button style="background-color:rgba(243, 248, 252, 1);margin-bottom:0px" class="css-nv3tq1 erokikt0"><p class="css-1vpm8e9">Crowdsourced Reporting</p><p style="transform:rotate(0deg)" class="css-543d07"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" d="M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708"></path></svg></p></button><div style="height:0" class="css-1xifnbc erokikt1"><div class="css-1bkpfqp"><div class="css-1gaqt2j"><p class="text-sm md:text-base xl:text-lg"><span class="font-bold">Citizens support traffic enforcement through a mobile application that collects real-time data using the phone camera and machine learning algorithms.</span></p><ul class="ml-8 flex list-outside list-disc flex-col space-y-1 text-sm md:ml-10 md:text-base xl:ml-10 xl:text-lg"><li>Enables real-time reporting of dangerous driving behavior</li><li>Converts mobile phones into AI-powered dashboard cameras</li><li>Creates content lakes with natural language-based data from citizens</li><li>Generates a digital twin of the city’s main roads and curbsides in real time</li></ul><p class="text-sm md:text-base xl:text-lg">U.S. Patent Serial Number US11,475,766</p></div></div></div></div><div class="css-1ndhwny"><button style="background-color:rgba(243, 248, 252, 1);margin-bottom:0px" class="css-nv3tq1 erokikt0"><p class="css-1vpm8e9">Blockchain-Powered Data Management System</p><p style="transform:rotate(0deg)" class="css-543d07"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 16 16" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" d="M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708"></path></svg></p></button><div style="height:0" class="css-1xifnbc erokikt1"><div class="css-1bkpfqp"><div class="css-1gaqt2j"><p class="text-sm md:text-base xl:text-lg">Hayden AI’s blockchain-powered data management technology uses a distributed ledger to track each transaction of the data with a unique and unrepeatable identifier generated by a cryptographic operation. This system creates a verifiable chain of custody for each traffic enforcement evidence package, keeping a record every time the data is processed, modified, or reviewed. It can further secure the data by partitioning it into individual components and tracking them through multiple blockchains.</p><p class="text-sm md:text-base xl:text-lg">U.S. Patent Serial Number 11,727,795 B1.</p><a class="css-oxl959" href="/press/blockchain-ledger-automated-bus-lane-enforcement"><span class="css-1wyhta8">Read More</span></a></div></div></div></div></div></div></div></main><div class="bg-black font-sans __variable_afc283"><div class="md:-mt-0.5"><div class="max-w-[100rem] md:px-[5.2%] xl:px-[5.2%] 2xl:mx-auto 2xl:w-[80%] 2xl:px-0"><div class="flex w-full flex-col-reverse pb-5 md:flex-row md:justify-between"><div class="flex w-1/2 flex-col px-[5.3%] pt-8 text-white md:px-0 md:pt-8"><div class="transition duration-300 ease-in-out hover:text-blue-300 md:w-[11.5rem]"><a aria-label="Home" href="/"><svg width="100%" height="100%" viewBox="0 0 184 48" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M34.5087 22.0702C34.5297 22.1895 34.5436 22.3088 34.5436 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