{"product_id":"kit-pi-5-industrial-compressed-air-leak-detector","title":"Pi 5 Industrial Compressed Air Leak Detector","description":"\u003ch1\u003eRaspberry Pi 5 Industrial Compressed Air Leak Detector: AI-Powered Ultrasonic Leak Classification\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 5–6 hours\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 15–21\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e ML-powered ultrasonic leak detection\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eCompressed air leaks cost Indian factories thousands of rupees every month, with pinhole defects emitting high‑frequency ultrasonic signatures that maintenance teams often miss. This kit puts a professional‑grade diagnostic tool into your hands: a portable detector built around a Raspberry Pi 5 and MEMS ultrasonic microphone that captures those ultrasonic hisses, processes them through a high‑resolution ADC, and runs an on‑device machine learning model to classify leak size instantly. Use it to perform energy audits, prototype industrial IoT condition monitoring, or fuel a Smart India Hackathon solution with real‑world sensing and edge AI.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou'll assemble a handheld industrial leak scanner that streams ultrasonic signals from compressed air lines into an ADS1115 analog‑to‑digital converter, then onto a Raspberry Pi 5 for real‑time analysis. A lightweight ML classifier, trained on leak signature patterns, labels each detected leak as small, medium, or large and logs the event to the onboard NVMe SSD. The system can feed live data to a web dashboard or a Node‑RED flow, turning your Pi into a connected energy‑saving monitor.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eAcquire and condition ultrasonic signals using a MEMS microphone for industrial sensing\u003c\/li\u003e\n  \u003cli\u003eInterface an I2C ADC (ADS1115) with Raspberry Pi 5 to digitize high‑frequency audio\u003c\/li\u003e\n  \u003cli\u003eTrain and deploy a compact machine learning model for on‑device audio classification\u003c\/li\u003e\n  \u003cli\u003eBuild an IoT data pipeline that logs leak events to NVMe storage and visualizes trends\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\u003eMEMS Ultrasonic Mic\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eADS1115 ADC\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    \u003ctr\u003e\n\u003ctd\u003eM-M Wires\u003c\/td\u003e\n\u003ctd\u003e15\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\u003eThis kit is built for CBSE Class 11–12 science students exploring AI‑driven sensor fusion, B.Tech ECE\/EEE undergraduates tackling industrial automation projects, and Smart India Hackathon teams racing to build energy‑efficient prototypes. It fits the curriculum needs of engineering colleges like IIT, NIT, VIT, and BITS, where edge AI and IoT are driving final‑year innovation.\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 box to chat with our AI companion, which has been trained on this exact leak detector. For trickier issues, our WhatsApp support responds within a few hours.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I reuse the MEMS ultrasonic mic for other projects?\u003c\/summary\u003e\u003cp\u003eAbsolutely. The mic and ADS1115 ADC are standard I2C modules. You can repurpose them for vibration sensing, condition monitoring, or any high‑frequency audio analysis.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDoes the machine learning model need internet connectivity to classify leaks?\u003c\/summary\u003e\u003cp\u003eNo. The model runs entirely on the Raspberry Pi 5, so you get real‑time leak size classification even in industrial environments without Wi‑Fi.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat types of compressed air leaks can this kit detect?\u003c\/summary\u003e\u003cp\u003eIt picks up high‑frequency ultrasonic hisses from pinhole leaks in pneumatic lines, couplings, and valves. The ML classifier then sorts the detected signature into small, medium, or large leak categories.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eUltrasonic microphone on Pi 5 detects high frequency leak signature in compressed air lines — ML classifies leak size.\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\/inmp441-i2s-microphone-module-high-snr-mems-mic-for-esp32\"\u003eMEMS Ultrasonic Mic\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/ads1115-16-bit-i2c-adc-module-for-arduino-raspberry-pi\"\u003eADS1115 ADC\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    \u003cli\u003eM-M Wires x15\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 Industrial Compressed Air Leak Detector?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Pi 5 Industrial Compressed Air Leak Detector includes all components needed: Raspberry Pi 5 4GB, MEMS Ultrasonic Mic, ADS1115 ADC, NVMe SSD 128GB, Pi 5 M.2 HAT+ 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 Industrial Compressed Air Leak Detector?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 15-21. Ultrasonic microphone on Pi 5 detects high frequency leak signature in compressed air lines — ML classifies leak size. Estimated build time is 5-6 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Pi 5 Industrial Compressed Air Leak Detector online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Pi 5 Industrial Compressed Air Leak Detector is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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