{"product_id":"kit-pet-activity-monitor-kit-v7","title":"Pet Activity Monitor Kit v7","description":"\u003ch1\u003ePet Activity Monitor Kit v7 – Raspberry Pi 5 Smart Parenting IoT System for Infant Cry 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 hrs\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 15-21\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e IoT sensor fusion \u0026amp; real-time audio ML inference\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eThis kit turns a Raspberry Pi 5 into a bedside assistant that never sleeps. Using the NoIR camera, a high‑fidelity I2S microphone, and a PIR motion sensor, the system continuously listens and watches — then classifies your infant’s cry as hunger, pain, or tiredness and pushes a silent alert to your phone. Created for engineering students and hackathon teams exploring embedded AI, the build teaches you how to fuse three sensor streams and deploy a TensorFlow Lite audio classifier entirely on‑device, with no cloud dependency.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou will assemble a compact monitoring unit that sits near the crib. The moment the baby stirs or cries, a PIR‑triggered snapshot and a few seconds of audio are fed into a locally running model that distinguishes between three cry types. A custom Node‑RED dashboard or a simple MQTT‑linked mobile app shows the live status, and a push notification quietly nudges you only when the cry pattern isn’t just fussing.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eConfigure a Raspberry Pi 5 with NVMe SSD via the M.2 HAT+ and boot a custom OS image in under 10 minutes.\u003c\/li\u003e\n  \u003cli\u003eInterface the INMP441 I2S MEMS microphone and extract clean audio streams using ALSA, then pre‑process them for machine learning inference.\u003c\/li\u003e\n  \u003cli\u003eDeploy a pre‑trained TensorFlow Lite audio classification model on the Pi 5 CPU, mapping raw audio to three cry categories with sub‑500 ms latency.\u003c\/li\u003e\n  \u003cli\u003eDesign a multi‑sensor IoT alert pipeline that combines PIR motion detection, NoIR camera stills, and audio events into a unified MQTT message published to a smartphone app.\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 NoIR\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eINMP441 I2S Mic\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003ePIR Sensor\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\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\u003e10\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 fits perfectly into a third‑year B.Tech ECE major project or a Smart India Hackathon healthcare track prototype. It’s also designed for hobbyist parents with a background in Python who want a smarter baby monitor, and for ATL tinkering labs mentoring advanced students on embedded ML. If you’re at an institution like VIT, BITS, or an NIT and need a ready‑to‑run IoT+AI demonstration that can be extended with your own data, the Pet Activity Monitor Kit v7 gives you a four‑hour head start.\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 that has step‑by‑step debug logs, wiring photos, and command‑line fixes for this specific kit. If the AI doesn’t resolve it, a Compoden engineer replies on WhatsApp within a few hours.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan the model distinguish cries in a noisy room?\u003c\/summary\u003e\u003cp\u003eThe base model is trained on clean infant cry datasets and uses a band‑pass filter to ignore low‑frequency household hums. For persistent ambient noise, you can fine‑tune the model with 5‑10 minutes of recordings from your own room using the retrain script we provide.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need an internet connection for the alerts to work?\u003c\/summary\u003e\u003cp\u003eAll inference happens locally on the Raspberry Pi 5. Alerts are delivered over your home Wi‑Fi via MQTT—no cloud service needed. You only need internet access during the initial model download and if you want to view the Pi from outside your network.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWill this kit work as a pet activity monitor too?\u003c\/summary\u003e\u003cp\u003eAbsolutely. The same sensor suite and audio pipeline can be retrained with recordings of your dog’s barks or your cat’s meows. The motion‑triggered camera logic works identically; just replace the cry classification model with one trained on pet vocalizations.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003ePet Tracking — Sound, video and movement sensors on Pi 5 classify infant cry type (hunger\/pain\/tired) — smart parenting IoT alert.\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 NoIR\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/inmp441-i2s-microphone-module-high-snr-mems-mic-for-esp32\"\u003eINMP441 I2S Mic\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/9-in-1-arduino-sensor-kit-with-ultrasonic-pir-dht11-mq2-more\"\u003ePIR Sensor\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\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 x10\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 Pet Activity Monitor Kit v7?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Pet Activity Monitor Kit v7 includes all components needed: Raspberry Pi 5 4GB, Pi Camera Module 3 NoIR, INMP441 I2S Mic, PIR Sensor, NVMe SSD 256GB 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 Pet Activity Monitor Kit v7?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 15-21. Pet Tracking — Sound, video and movement sensors on Pi 5 classify infant cry type (hunger\/pain\/tired) — smart parenting IoT alert. Estimated build time is 5-6 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Pet Activity Monitor Kit v7 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Pet Activity Monitor Kit v7 is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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