{"id":29628,"date":"2026-09-01T11:14:48","date_gmt":"2026-09-01T03:14:48","guid":{"rendered":"https:\/\/taometrix.com\/?p=29628"},"modified":"2026-09-01T18:06:32","modified_gmt":"2026-09-01T10:06:32","slug":"edge-ai-camera-oem-odm-production","status":"publish","type":"post","link":"https:\/\/www.taometrix.com\/ru\/edge-ai-camera-oem-odm-production\/","title":{"rendered":"TaoMetrix: \u041f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0441\u0442\u0432\u043e \u043a\u0430\u043c\u0435\u0440 \u0441 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u043c \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u043e\u043c \u0434\u043b\u044f \u043f\u0435\u0440\u0438\u0444\u0435\u0440\u0438\u0439\u043d\u044b\u0445 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432 (OEM\/ODM) \u2014 \u044d\u0442\u043e \u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u044b \u0438 \u043f\u0438\u043a\u0441\u0435\u043b\u0438"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"29628\" class=\"elementor elementor-29628\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"wd-negative-gap elementor-element elementor-element-3fab56d e-flex e-con-boxed e-con e-parent\" data-id=\"3fab56d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4e25e53 elementor-widget elementor-widget-image\" data-id=\"4e25e53\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1300\" height=\"732\" src=\"https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-1300x732.png\" class=\"attachment-large size-large wp-image-29753\" alt=\"\" srcset=\"https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-1300x732.png 1300w, https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-400x225.png 400w, https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-768x432.png 768w, https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-1536x864.png 1536w, https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-18x10.png 18w, https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-430x242.png 430w, https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-700x394.png 700w, https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22-150x84.png 150w, https:\/\/taometrix.com\/wp-content\/uploads\/2026\/09\/ChatGPT-Image-2026\u5e749\u67081\u65e5-18_01_22.png 1672w\" sizes=\"auto, (max-width: 1300px) 100vw, 1300px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ffa056e color-scheme-inherit text-left elementor-widget elementor-widget-text-editor\" data-id=\"ffa056e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p data-pm-slice=\"1 1 []\">An Edge AI camera OEM project requires more than combining a high-resolution sensor with an AI model. A production-ready device must coordinate optics, image sensors, processors, memory, power, thermal design, connectivity, firmware, cybersecurity, mechanics, testing, certification and manufacturing.<\/p><p>The right Edge AI camera OEM partner should be able to turn a defined product design into consistent production. If a brand still needs platform selection, hardware adaptation or joint engineering, an Edge AI camera ODM or JDM approach may be more suitable.<\/p><h2>Quick Answer: What Should Brands Check Before Edge AI Camera OEM Production?<\/h2><p>Before approving production, confirm these ten areas:<\/p><ol start=\"1\" data-spread=\"false\"><li><p>Use case, environment and measurable AI task<\/p><\/li><li><p>Sensor, lens, field of view and lighting requirements<\/p><\/li><li><p>Processor performance, memory and model compatibility<\/p><\/li><li><p>End-to-end latency, accuracy and failure behavior<\/p><\/li><li><p>Thermal performance and power consumption<\/p><\/li><li><p>Network, storage, privacy and cybersecurity architecture<\/p><\/li><li><p>Enclosure, mounting, sealing and serviceability<\/p><\/li><li><p>Firmware updates, device management and production provisioning<\/p><\/li><li><p>Reliability, compliance and production test coverage<\/p><\/li><li><p>BOM control, component availability, pilot yield and change management<\/p><\/li><\/ol><p>The camera should not move into mass production until each applicable item has a written acceptance criterion and supporting test evidence.<\/p><h2>Edge AI Camera OEM vs ODM: What Is the Difference?<\/h2><table><tbody><tr><th>\u041c\u043e\u0434\u0435\u043b\u044c<\/th><th>Brand provides<\/th><th>Manufacturing partner provides<\/th><th>\u041e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442<\/th><\/tr><tr><td>OEM<\/td><td>Mature specifications and production files<\/td><td>Sourcing, PCBA, assembly, testing and delivery<\/td><td>Production-ready custom designs<\/td><\/tr><tr><td>ODM<\/td><td>Product brief and customization requirements<\/td><td>Existing platform, engineering adaptation and production<\/td><td>Faster launch from a proven camera platform<\/td><\/tr><tr><td>JDM<\/td><td>Product vision, AI software and shared requirements<\/td><td>Joint hardware, mechanical and production engineering<\/td><td>Differentiated products requiring co-development<\/td><\/tr><\/tbody><\/table><p>These terms are used differently across suppliers. Contracts should define design ownership, firmware and source-code access, tooling rights, certification ownership, cloud responsibility, exclusivity and change control.<\/p><h2>1. Define the Real Use Case First<\/h2><p>An Edge AI camera should begin with the decision it must make\u2014not a megapixel number.<\/p><p>Define:<\/p><ul data-spread=\"false\"><li><p>Detection, classification, tracking, counting or inspection task<\/p><\/li><li><p>Target objects, minimum object size and expected distance<\/p><\/li><li><p>Indoor, outdoor, mobile, industrial or consumer environment<\/p><\/li><li><p>Lighting variation, low-light, backlight or infrared requirements<\/p><\/li><li><p>Required accuracy, false-positive and false-negative limits<\/p><\/li><li><p>Maximum end-to-end latency<\/p><\/li><li><p>Continuous, event-based or low-power operation<\/p><\/li><li><p>Local storage, cloud connection and offline behavior<\/p><\/li><li><p>Installation, maintenance and product lifetime<\/p><\/li><\/ul><p>An industrial inspection camera may prioritize controlled lighting, optics stability and repeatable detection. A security camera may prioritize night vision, wide coverage, weather resistance and 24\/7 operation. A retail device may prioritize privacy, counting accuracy and remote management.<\/p><p>Without a defined operating envelope, hardware and AI results cannot be evaluated objectively.<\/p><h2>2. Design the Complete Imaging System<\/h2><p>Image quality depends on the whole optical chain:<\/p><table><tbody><tr><th>Element<\/th><th>Questions to validate<\/th><\/tr><tr><td>Image sensor<\/td><td>Resolution, pixel size, dynamic range, sensitivity, frame rate, shutter type<\/td><\/tr><tr><td>Lens<\/td><td>Focal length, field of view, aperture, distortion, focus and temperature stability<\/td><\/tr><tr><td>Lighting<\/td><td>Visible, infrared, structured or application-specific illumination<\/td><\/tr><tr><td>Filters<\/td><td>IR-cut behavior, spectral requirements and day\/night switching<\/td><\/tr><tr><td>ISP<\/td><td>Exposure, white balance, noise reduction, HDR and color processing<\/td><\/tr><tr><td>Mechanics<\/td><td>Lens alignment, sensor flatness, focus retention and contamination control<\/td><\/tr><\/tbody><\/table><p>More pixels can increase bandwidth, memory use, heat and inference cost without improving AI performance. Test the actual sensor, lens, ISP settings and AI model together under real environmental conditions.<\/p><h2>3. Select the Edge AI Computing Platform<\/h2><p>The processor determines which models can run, at what speed and power level. Compare platforms using the intended workload rather than TOPS alone.<\/p><p>Evaluate:<\/p><ul data-spread=\"false\"><li><p>Supported AI frameworks and model-conversion tools<\/p><\/li><li><p>Operator compatibility and quantization behavior<\/p><\/li><li><p>CPU, GPU, NPU and ISP resource sharing<\/p><\/li><li><p>Memory capacity and bandwidth<\/p><\/li><li><p>Multiple-camera support and interface requirements<\/p><\/li><li><p>Boot time and real-time performance<\/p><\/li><li><p>Secure boot, encryption and hardware security features<\/p><\/li><li><p>Software lifecycle and long-term availability<\/p><\/li><li><p>SDK quality, documentation and debugging tools<\/p><\/li><\/ul><p>Benchmark the production model with production-intent firmware. Record accuracy changes introduced by resizing, compression, quantization or hardware-specific optimization.<\/p><h2>4. Validate AI Performance as a System<\/h2><p>AI validation should include more than a laboratory accuracy score. Define representative datasets and operational scenarios covering lighting, distance, angle, motion, obstruction, weather, background variation and edge cases.<\/p><p>Measure:<\/p><ul data-spread=\"false\"><li><p>Precision, recall or task-specific quality metrics<\/p><\/li><li><p>False positives and false negatives<\/p><\/li><li><p>Inference and end-to-end latency<\/p><\/li><li><p>Frame drops and sustained throughput<\/p><\/li><li><p>Model loading and recovery behavior<\/p><\/li><li><p>Performance after firmware or model updates<\/p><\/li><li><p>Behavior when confidence is low or inputs are invalid<\/p><\/li><\/ul><p>Document dataset scope, model version, thresholds, firmware version and test conditions. NIST\u2019s <a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">AI Risk Management Framework<\/a> provides a useful general reference for managing AI risks and reliability, although the applicable validation plan must be tailored to the product.<\/p><h2>5. Engineer Power and Thermal Performance<\/h2><p>Edge inference, image processing, wireless transmission and storage can create continuous heat. Thermal throttling may reduce frame rate or inference speed, while excessive enclosure temperature can affect reliability and safety.<\/p><p>Test:<\/p><ul data-spread=\"false\"><li><p>Power by boot, idle, inference, recording and transmission mode<\/p><\/li><li><p>Peak and sustained processor temperature<\/p><\/li><li><p>Performance at minimum and maximum ambient temperature<\/p><\/li><li><p>Thermal throttling and recovery<\/p><\/li><li><p>Heat transfer through the PCB, heat spreader, enclosure and mounting surface<\/p><\/li><li><p>Dust, sealing and sunlight effects<\/p><\/li><li><p>Power-supply margin and surge behavior<\/p><\/li><\/ul><p>Use production-intent enclosure materials and interfaces for thermal validation. A bench test with an open PCB does not represent a sealed camera.<\/p><h2>6. Plan Connectivity, Storage and Cybersecurity<\/h2><p>An Edge AI camera may use Ethernet, PoE, Wi-Fi, cellular, Bluetooth, USB or industrial interfaces. Define network loss, reconnection, bandwidth, buffering and offline behavior.<\/p><p>Also clarify:<\/p><ul data-spread=\"false\"><li><p>Where video, metadata and logs are stored<\/p><\/li><li><p>Which data leaves the device<\/p><\/li><li><p>Encryption in transit and at rest<\/p><\/li><li><p>Device identity, credentials and certificate provisioning<\/p><\/li><li><p>User roles and access control<\/p><\/li><li><p>Secure boot and signed OTA updates<\/p><\/li><li><p>Vulnerability reporting and patch responsibility<\/p><\/li><li><p>Factory reset and end-of-life support<\/p><\/li><li><p>Integration with customer platforms or common protocols<\/p><\/li><\/ul><p>Cybersecurity cannot be added only after hardware release. Production provisioning, unique credentials and update recovery must be included in factory processes.<\/p><h2>7. Validate Enclosure and Installation<\/h2><p>Mechanical design affects image quality, heat, wireless performance and reliability. Check:<\/p><ul data-spread=\"false\"><li><p>Lens and sensor alignment<\/p><\/li><li><p>Mounting rigidity and vibration<\/p><\/li><li><p>Cable exits and connector strain relief<\/p><\/li><li><p>Gaskets, vents and acoustic membranes where applicable<\/p><\/li><li><p>Condensation, dust and water paths<\/p><\/li><li><p>IR reflection from covers or windows<\/p><\/li><li><p>Sunlight, corrosion and UV exposure<\/p><\/li><li><p>Installation access and field service<\/p><\/li><li><p>Tamper resistance and cosmetic standards<\/p><\/li><\/ul><p>If an IP rating is claimed, test the final production-intent assembly. IEC 60529 defines enclosure protection against dust and liquids; see the <a href=\"https:\/\/iec.ch\/ip-ratings\" target=\"_blank\" rel=\"noopener\">IEC explanation of IP ratings<\/a>.<\/p><h2>8. Build a Complete Test and Compliance Plan<\/h2><p>Testing should cover hardware, software, AI and production variation.<\/p><p>Typical areas include:<\/p><ul data-spread=\"false\"><li><p>Image quality and focus<\/p><\/li><li><p>AI task performance<\/p><\/li><li><p>Long-duration operation and memory stability<\/p><\/li><li><p>Temperature, humidity, vibration and drop<\/p><\/li><li><p>ESD, EMC and power disturbances<\/p><\/li><li><p>Network interruption and recovery<\/p><\/li><li><p>Storage endurance and file integrity<\/p><\/li><li><p>OTA update, rollback and recovery<\/p><\/li><li><p>Seal integrity and ingress protection<\/p><\/li><li><p>Factory calibration and functional test<\/p><\/li><\/ul><p>Compliance depends on configuration and target markets. Wireless products may require applicable radio authorization; the FCC states that relevant RF devices require authorization before marketing or importation in the United States. Review the <a href=\"https:\/\/www.fcc.gov\/engineering-technology\/laboratory-division\/general\/equipment-authorization\" target=\"_blank\" rel=\"noopener\">\u041f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0424\u0435\u0434\u0435\u0440\u0430\u043b\u044c\u043d\u043e\u0439 \u043a\u043e\u043c\u0438\u0441\u0441\u0438\u0435\u0439 \u043f\u043e \u0441\u0432\u044f\u0437\u0438 (FCC)<\/a> and confirm requirements with qualified laboratories.<\/p><h2>9. Move From Prototype to Production in Stages<\/h2><p>Use controlled development gates:<\/p><ul data-spread=\"false\"><li><p><strong>Proof of concept:<\/strong> Prove imaging and AI feasibility.<\/p><\/li><li><p><strong>EVT:<\/strong> Validate architecture, electronics, optics, power, thermal design and core firmware.<\/p><\/li><li><p><strong>DVT:<\/strong> Validate near-final mechanics, reliability, AI performance and compliance readiness.<\/p><\/li><li><p><strong>PVT:<\/strong> Validate tooling, assembly, provisioning, calibration, fixtures and production tests.<\/p><\/li><li><p><strong>Pilot production:<\/strong> Measure yield, defects, cycle time, rework and outgoing quality before scaling.<\/p><\/li><\/ul><p>For more detail, read TaoMetrix\u2019s <a href=\"https:\/\/www.taometrix.com\/ru\/ai-hardware-prototype-manufacturing\/\" target=\"_blank\" rel=\"noopener\">\u0420\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u043e \u043f\u043e \u0438\u0437\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u0438\u044e \u043f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u043e\u0432 \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u044b\u0445 \u0441\u0440\u0435\u0434\u0441\u0442\u0432 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430<\/a>.<\/p><h2>10. Control the BOM and Production Process<\/h2><p>An Edge AI camera OEM program needs configuration control across hardware, firmware, AI models and factory data.<\/p><p>Define:<\/p><ul data-spread=\"false\"><li><p>Approved BOM and component alternatives<\/p><\/li><li><p>Sensor and lens lot controls<\/p><\/li><li><p>Firmware, model and configuration versions<\/p><\/li><li><p>Calibration and golden-sample procedures<\/p><\/li><li><p>Serial numbers and production traceability<\/p><\/li><li><p>First-pass yield and defect thresholds<\/p><\/li><li><p>Failure analysis and corrective action<\/p><\/li><li><p>Engineering-change approval<\/p><\/li><li><p>Packaging and transport protection<\/p><\/li><li><p>Warranty, spare parts and field-return analysis<\/p><\/li><\/ul><p>A functioning sample is not proof that a line can build the product repeatedly.<\/p><h2>How TaoMetrix Supports Edge AI Camera OEM Projects<\/h2><p>TaoMetrix helps global teams develop and manufacture Edge AI cameras and connected vision devices from prototype review through pilot production and scale-up.<\/p><p>\u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u043c\u043e\u0436\u0435\u0442 \u0432\u043a\u043b\u044e\u0447\u0430\u0442\u044c:<\/p><ul data-spread=\"false\"><li><p>Product and architecture review<\/p><\/li><li><p>Sensor, lens, processor and module selection<\/p><\/li><li><p>\u0418\u0437\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u043e\u0432 \u043f\u0435\u0447\u0430\u0442\u043d\u044b\u0445 \u043f\u043b\u0430\u0442 \u0438 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0441\u0442\u0432\u043e \u043f\u043e \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u043f\u043e\u0432\u0435\u0440\u0445\u043d\u043e\u0441\u0442\u043d\u043e\u0433\u043e \u043c\u043e\u043d\u0442\u0430\u0436\u0430<\/p><\/li><li><p>Enclosure, mounting and thermal review<\/p><\/li><li><p>Camera, microphone, wireless and storage integration<\/p><\/li><li><p>BOM optimization and sourcing<\/p><\/li><li><p>Firmware and AI integration coordination<\/p><\/li><li><p>Functional, reliability and production testing<\/p><\/li><li><p>DFM, DFT, fixtures and quality planning<\/p><\/li><li><p>Edge AI camera OEM, ODM and JDM production<\/p><\/li><li><p>\u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0432 \u0432\u043e\u043f\u0440\u043e\u0441\u0430\u0445 \u0443\u043f\u0430\u043a\u043e\u0432\u043a\u0438 \u0438 \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438<\/p><\/li><\/ul><p>To compare engagement models, read <a href=\"https:\/\/www.taometrix.com\/ru\/oem-odm-obm-jdm-cmt-ai-hardware-startups\/\" target=\"_blank\" rel=\"noopener\">OEM vs ODM: how OBM, JDM and CMT compare<\/a>. To review a camera project, <a href=\"https:\/\/www.taometrix.com\/ru\/contact-us\/\" target=\"_blank\" rel=\"noopener\">\u0421\u0432\u044f\u0437\u0430\u0442\u044c\u0441\u044f \u0441 TaoMetrix<\/a>.<\/p><h2>\u0427\u0430\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u0435\u043c\u044b\u0435 \u0432\u043e\u043f\u0440\u043e\u0441\u044b<\/h2><h3>What is an Edge AI camera?<\/h3><p>An Edge AI camera captures images and runs some or all AI inference locally on the device. It may transmit events, metadata or selected video rather than sending every frame to the cloud.<\/p><h3>What is the difference between Edge AI camera OEM and ODM?<\/h3><p>In an Edge AI camera OEM project, the brand typically provides a mature design or manufacturing package. In ODM, the manufacturer provides an existing camera platform and adapts it to the brand\u2019s requirements.<\/p><h3>How do I choose an image sensor and lens?<\/h3><p>Choose them from the use case, object size, distance, field of view, lighting, motion, frame rate and AI requirements. Test the complete optical and AI pipeline rather than selecting by resolution alone.<\/p><h3>How should Edge AI performance be tested?<\/h3><p>Use representative data and real operating conditions. Measure task quality, false results, latency, sustained throughput, temperature, power and behavior under difficult or invalid inputs.<\/p><h3>Which certifications does an Edge AI camera need?<\/h3><p>Requirements depend on power, radio functions, interfaces, environment, claims and destination markets. Confirm the plan with qualified laboratories before finalizing the PCB, antennas, enclosure and packaging.<\/p><h3>When is an Edge AI camera ready for mass production?<\/h3><p>It is ready when the design is controlled, requirements are validated, compliance risks are addressed, components are available, factory tests and provisioning are defined, and pilot production demonstrates acceptable yield and quality.<\/p><h2>\u0417\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435<\/h2><p>A successful Edge AI camera OEM project aligns optics, AI computing, power, thermal design, connectivity, firmware, mechanics, security and production testing around a defined real-world task.<\/p><p>The strongest product is not the camera with the highest pixel count or TOPS number. It is the camera that produces reliable decisions in its intended environment and can be manufactured, updated and supported consistently.<\/p><p>TaoMetrix supports Edge AI camera projects from prototype and engineering validation through pilot production and scalable OEM\/ODM manufacturing. <a href=\"https:\/\/www.taometrix.com\/ru\/contact-us\/\" target=\"_blank\" rel=\"noopener\">\u0421\u0432\u044f\u0437\u0430\u0442\u044c\u0441\u044f \u0441 TaoMetrix<\/a> to discuss your requirements.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>An Edge AI camera OEM project requires more than combining a high-resolution sensor with an AI model. A production-ready device<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[103],"tags":[104,127,122,138,137,126,125],"class_list":["post-29628","post","type-post","status-publish","format-standard","hentry","category-taometrix","tag-ai-hardware","tag-camera-manufacturing","tag-edge-ai-camera","tag-edge-ai-camera-odm","tag-edge-ai-camera-oem","tag-edge-computing","tag-embedded-vision"],"_links":{"self":[{"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/posts\/29628","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/comments?post=29628"}],"version-history":[{"count":13,"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/posts\/29628\/revisions"}],"predecessor-version":[{"id":29757,"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/posts\/29628\/revisions\/29757"}],"wp:attachment":[{"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/media?parent=29628"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/categories?post=29628"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.taometrix.com\/ru\/wp-json\/wp\/v2\/tags?post=29628"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}