{"product_id":"kit-pi-5-yolov8-object-detector","title":"Pi 5 YOLOv8 Object Detector Kit with Raspberry Pi 5","description":"\u003ch1\u003eBuild an AI-Powered Object Detector with Raspberry Pi 5 and YOLOv8\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 Intermediate\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 4-5 hours\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 15-18\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Real-time object detection with YOLOv8\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eImagine pointing a camera at your desk and seeing every object labeled in real time — ‘person’, ‘cell phone’, ‘book’, ‘chair’. This kit lets you deploy YOLOv8 on a Raspberry Pi 5 to do exactly that. You will run a quantized YOLOv8n model on a USB webcam feed, detect 80 common object classes, and stream bounding boxes onto an HDMI display, giving you genuine edge AI inference that works locally without cloud dependency.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eA complete computer vision system: the USB webcam captures live video, the Pi 5 processes frames through the Hailo-8L NPU with the optimized YOLOv8 model, and your HDMI monitor shows every detected object framed and labeled in real time. You’ll end up with a ready-to-demonstrate device that can identify people, pets, vehicles, electronics, and dozens of everyday items — all processed on-device at high speed.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eSetting up Raspberry Pi 5 with the latest OS, camera drivers, and NPU tools\u003c\/li\u003e\n  \u003cli\u003eDeploying a YOLOv8n model using the Hailo-8L AI accelerator for edge inference\u003c\/li\u003e\n  \u003cli\u003eIntegrating OpenCV to capture webcam frames and draw detection overlays\u003c\/li\u003e\n  \u003cli\u003eDisplaying real-time object detection with bounding boxes and class labels on HDMI\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 4GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eUSB Webcam\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    \u003ctr\u003e\n\u003ctd\u003eMicroSD Card 32GB\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 every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\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\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\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\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\u003eTargeted at CBSE Class 11–12 students exploring AI and computer science, B.Tech ECE\/EEE undergraduates who want hands-on edge AI experience, and Smart India Hackathon teams building real-time vision prototypes. It fits neatly into ATL Tinkering Lab activities and college project work at IITs, NITs, VIT, and BITS, assuming you have basic Python and command-line comfort. If you’ve tinkered with Arduino or simple scripts and are ready to step into machine learning on the edge, this kit gives you a structured pathway.\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 on the kit box to access the AI build companion trained for this exact project; it walks you through every step. If you need human support, message us on WhatsApp — we reply within hours.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need prior experience with AI or Raspberry Pi?\u003c\/summary\u003e\u003cp\u003eThis kit is intermediate-level; basic Python and Linux command-line familiarity help. The AI companion and clear setup guides make it approachable even if you’re new to the Raspberry Pi 5, as long as you’re willing to follow step-by-step technical instructions.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I use the camera to detect objects other than the 80 COCO classes?\u003c\/summary\u003e\u003cp\u003eThe included YOLOv8n model is pretrained on the 80 COCO classes. You can retrain with your own dataset on a PC and deploy the custom model to the Pi 5 using the same pipeline — the kit provides the inference foundation you can extend.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eHow fast is the detection? Will it work in real time?\u003c\/summary\u003e\u003cp\u003eWith the Pi 5’s Hailo-8L NPU and the optimized YOLOv8n model, you’ll achieve approximately 30 FPS on a 640×640 stream, giving smooth, real-time object detection with negligible lag on the HDMI display.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003ePi 5 runs YOLOv8n model on USB webcam. Detects 80 COCO objects in real time on HDMI display.\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-4gb-technical-specs-projects\"\u003eRaspberry Pi 5 4GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/esp32-cam-mb-programmer-module-with-micro-usb-ch340g-plug-play\"\u003eUSB Webcam\u003c\/a\u003e\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    \u003cli\u003e\u003ca href=\"\/products\/microsd-card-reader-spi-module-for-arduino\"\u003eMicroSD Card 32GB\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 Pi 5 YOLOv8 Object Detector Kit with Raspberry Pi 5?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Pi 5 YOLOv8 Object Detector Kit with Raspberry Pi 5 includes all components needed: Raspberry Pi 5 4GB, USB Webcam, HDMI Cable, USB-C PSU, MicroSD Card 32GB 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 Pi 5 YOLOv8 Object Detector Kit with Raspberry Pi 5?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 15-18. Pi 5 runs YOLOv8n model on USB webcam. Detects 80 COCO objects in real time on HDMI display. Estimated build time is 4-5 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Pi 5 YOLOv8 Object Detector Kit with Raspberry Pi 5 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Pi 5 YOLOv8 Object Detector Kit with Raspberry Pi 5 is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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