{"product_id":"kit-manufacturing-qc-vision-kit-v35","title":"Manufacturing QC Vision Kit v35","description":"\u003ch1\u003eManufacturing QC Vision Kit: Real-time Indian Language Sign Board OCR with Raspberry Pi 5\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 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 16-21\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Deploying multilingual OCR on edge devices\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eGive your production line the ability to read and verify Hindi, Tamil, Kannada, and Telugu text—without cloud dependencies or recurring fees. This kit turns a Raspberry Pi 5 into an edge-based quality control station that captures sign boards, labels, and safety tags using the Pi Camera Module 3, then runs EasyOCR to instantly extract text in four Indic scripts. Whether you are validating bilingual packaging, auditing equipment sign boards, or automating label inspection on a factory floor, you get a self-contained, real-time inspection tool that fits in your palm.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou will assemble a portable, industrial-grade OCR device that snaps an image of any sign board, processes the frame locally on the Pi 5, and outputs the detected text with confidence scores. The system stores high-resolution images and logs on a fast NVMe SSD, allowing you to review historical scans or flag anomalies. Use it to confirm that a Kannada warning label is present and legible, verify Tamil product descriptions on packaging lines, or check that a Telugu safety sign matches the approved template—all within seconds and without any internet connection.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eInstall and optimize EasyOCR for ARM64 on Raspberry Pi 5 to handle four Indian scripts with low latency\u003c\/li\u003e\n  \u003cli\u003eInterface the Pi Camera Module 3 at full resolution and tune focus for sharp text capture on sign boards\u003c\/li\u003e\n  \u003cli\u003eConfigure NVMe SSD via M.2 HAT+ as a high-speed storage volume for thousands of inspection records\u003c\/li\u003e\n  \u003cli\u003eBuild a Python pipeline that triggers image capture, runs OCR, and logs results—ready to connect to industrial dashboards\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\u003ePi Camera Module 3\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eNVMe SSD 128GB\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\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 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\u003eDesigned for B.Tech ECE and EEE students building final-year projects around Industry 4.0 and smart manufacturing, Smart India Hackathon teams solving automated quality inspection challenges, and advanced CBSE Class 12 students with Raspberry Pi experience who want to go beyond basic projects. If you are prototyping at an ATL tinkering lab or an IIT, NIT, or VIT incubator, this kit gives you a ready‑to‑deploy OCR foundation for Indian language text that mirrors real‑world factory requirements.\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\u003eYour AI companion walks you through every wiring step, software installation, and Python script. If you need a human, just send a photo over WhatsApp—our team has built this exact kit dozens of times.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan this kit read other Indian languages like Marathi or Gujarati?\u003c\/summary\u003e\u003cp\u003eOut of the box, you train on Hindi, Tamil, Kannada, and Telugu. EasyOCR supports many scripts; you can add Marathi, Gujarati, or others by downloading the appropriate language packs and retraining—the SSD has plenty of room for additional models.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDoes the OCR work on curved or dirty sign boards?\u003c\/summary\u003e\u003cp\u003eThe Pi Camera Module 3 captures detailed images, and EasyOCR handles slight warping and moderate dirt. For extreme cases, you can incorporate OpenCV pre‑processing steps that are covered in the AI companion guide, improving accuracy on challenging surfaces.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need an internet connection to run the OCR?\u003c\/summary\u003e\u003cp\u003eNo. All processing runs locally on the Raspberry Pi 5. The language models are stored on the NVMe SSD, so the system works completely offline on the factory floor.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eManufacturing QC — EasyOCR on Pi 5 reads Indian language sign boards from camera — identifies Hindi, Tamil, Kannada and Telugu text.\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\/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 128GB\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\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 Manufacturing QC Vision Kit v35?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Manufacturing QC Vision Kit v35 includes all components needed: Raspberry Pi 5 4GB, Pi Camera Module 3, NVMe SSD 128GB, Pi 5 M.2 HAT+, USB-C PSU 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 Manufacturing QC Vision Kit v35?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 16-21. Manufacturing QC — EasyOCR on Pi 5 reads Indian language sign boards from camera — identifies Hindi, Tamil, Kannada and Telugu text. Estimated build time is 4-5 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Manufacturing QC Vision Kit v35 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Manufacturing QC Vision Kit v35 is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. Ships from Bengaluru in 1-5 business days across India.\"\n      }\n    }\n  ]\n}\n\u003c\/script\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Product\",\n  \"name\": \"Manufacturing QC Vision Kit v35\",\n  \"description\": \"Manufacturing QC — EasyOCR on Pi 5 reads Indian language sign boards from camera — identifies Hindi, Tamil, Kannada and Telugu text.\",\n  \"sku\": \"CDN-KIT-4270\",\n  \"brand\": {\"@type\": \"Brand\", \"name\": \"Compoden\"},\n  \"offers\": {\n    \"@type\": \"Offer\",\n    \"url\": \"https:\/\/compoden.in\/products\/kit-manufacturing-qc-vision-kit-v35\",\n    \"priceCurrency\": \"INR\",\n    \"price\": \"26860\",\n    \"availability\": \"https:\/\/schema.org\/InStock\",\n    \"seller\": {\"@type\": \"Organization\", \"name\": \"Compoden\"}\n  },\n  \"category\": \"Edge AI \u0026 Computer Vision\"\n}\n\u003c\/script\u003e","brand":"Compoden","offers":[{"title":"Default Title","offer_id":53463952195949,"sku":"CDN-KIT-4270","price":31690.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0999\/3997\/5533\/files\/kit-manufacturing-qc-vision-kit-v35.png?v=1781949882","url":"https:\/\/compoden.com\/products\/kit-manufacturing-qc-vision-kit-v35","provider":"Compoden","version":"1.0","type":"link"}