{"product_id":"raspberry-pi-5-deeplabv3-mobilenet-camera-kit-real-time-segmentation","title":"Raspberry Pi 5 DeepLabV3 MobileNet Camera Kit - Real-Time Segmentation","description":"\u003ch1\u003eRaspberry Pi 5 DeepLabV3 MobileNet Classroom Engagement Camera Kit for Real-Time Scene Parsing\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Advanced\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 8-10 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 18-25\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Semantic Segmentation \u0026amp; Edge AI Deployment\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eTransform a Raspberry Pi 5 into an intelligent camera that understands every pixel of a scene. The Classroom Engagement Camera Kit v37 equips you to run DeepLabV3 MobileNet in real time, segmenting road, sky, building, and person classes at 10 frames per second - a full-scene parsing engine ready for education analytics, campus monitoring, and hackathon prototypes.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eA portable computer vision rig with a 7-inch live-feed display, capturing and classifying each pixel into meaningful semantic regions. Use it to track pedestrian density in campus corridors, analyse outdoor study spaces, or prototype a smart attendance system that automatically segments persons from the background. The system runs entirely on the edge, with inference accelerated by the Pi 5 and model files stored on a high-speed NVMe SSD for reliable 10fps throughput.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eDeploy a TensorFlow Lite semantic segmentation model on Raspberry Pi 5 and optimise it for consistent 10fps inference.\u003c\/li\u003e\n  \u003cli\u003eConfigure the Pi 5 M.2 HAT+ with NVMe SSD to eliminate microSD bottlenecks, ensuring smooth model loading and video frame caching.\u003c\/li\u003e\n  \u003cli\u003eInterface the Pi Camera Module 3 and a 7-inch HDMI display to create a self-contained edge AI vision prototype.\u003c\/li\u003e\n  \u003cli\u003eApply scene parsing concepts to education analytics use cases such as occupancy monitoring, crowd flow analysis, and behaviour classification.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 5 8GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003ePi Camera Module 3\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eNVMe SSD 256GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003ePi 5 M.2 HAT+\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e7in HDMI Display\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eHDMI Cable\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB-C PSU\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify voltage levels, camera driver compatibility, and boot from NVMe\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system: Pi 5 boots directly from the pre-flashed SSD, camera operates immediately\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project, plus tested model scripts and a ready-to-deploy OS image\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging driver and dependency conflicts\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance that gets segmentation running on the display quickly\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eThis advanced kit is built for engineering undergraduates and postgraduate students in B.Tech ECE, CSE, or AI specialisations who need a capstone project or a tool for Smart India Hackathon challenges. It is also suitable for ATL Tinkering Lab coordinators demonstrating real-world AI on the edge, and researchers at IITs, NITs, or VIT exploring computer vision for campus analytics. If you are comfortable with Linux and basic Python, this kit accelerates your path from idea to a working prototype.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eScan the QR code inside the box to launch the AI companion, which walks you through every step with context-aware answers. You can also reach us on WhatsApp for direct help from our team.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I train the model on my own dataset for different segmentation classes?\u003c\/summary\u003e\u003cp\u003eYes, the provided DeepLabV3 MobileNet can be fine-tuned with your custom dataset. The kit's NVMe speed allows rapid experimentation with retrained TFLite models.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDoes this kit come with the OS and model pre-installed?\u003c\/summary\u003e\u003cp\u003eThe NVMe SSD arrives pre-flashed with Raspberry Pi OS and the segmentation pipeline, so you can power on and start testing inference within the first hour of assembly.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I use this kit outdoors for real-time campus monitoring?\u003c\/summary\u003e\u003cp\u003eAbsolutely. The self-contained 7-inch display and USB-C PSU make it portable. Pair it with a standard power bank (not included) and you can deploy it in open areas to segment scenes on the move.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eEducation Analytics - DeepLabV3 MobileNet on Pi 5 segments road, sky, building and person classes at 10fps from camera - full scene parsing.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-5-model-b-8gb-high-performance-single-board-computer\"\u003eRaspberry Pi 5 8GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/4-channel-relay-board-for-esp32-30-pin-5v-control\"\u003ePi Camera Module 3\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/official-raspberry-pi-m2-hat-nvme-ssd-add-on-board-for-pi-5\"\u003eNVMe SSD 256GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-5-pcie-to-m2-nvme-ssd-expansion-board-by-elecrow\"\u003ePi 5 M.2 HAT+\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e7in HDMI Display\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/elecrow-hdmi-to-hdmi-connector-for-5-inch-raspberry-pi-display\"\u003eHDMI Cable\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-4-official-power-supply-5v-3a-usb-c-compoden\"\u003eUSB-C PSU\u003c\/a\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the Classroom Engagement Camera Kit v37?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Classroom Engagement Camera Kit v37 includes all components needed: Raspberry Pi 5 8GB, Pi Camera Module 3, NVMe SSD 256GB, Pi 5 M.2 HAT+, 7in HDMI Display and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the Classroom Engagement Camera Kit v37?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Advanced level makers, suitable for ages 18-25. Education Analytics - DeepLabV3 MobileNet on Pi 5 segments road, sky, building and person classes at 10fps from camera - full scene parsing. Estimated build time is 8-10 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Classroom Engagement Camera Kit v37 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Classroom Engagement Camera Kit v37 is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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