{"product_id":"kit-baby-room-comfort-monitor-kit-with-raspberry-pi-4-plus-dht22","title":"Baby Room Comfort Monitor Kit with Raspberry Pi 4 + DHT22","description":"\u003ch1\u003eRaspberry Pi Baby Room Comfort Monitor — Build a Complete Infant Environmental Dashboard with InfluxDB \u0026amp; Grafana\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 15-18\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e IoT Data Pipeline \u0026amp; Dashboarding\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eKeep track of your baby’s nursery environment with real-time temperature and humidity trends. This kit transforms a Raspberry Pi 4 into a data-logging server running InfluxDB and Grafana inside Docker containers, capturing precise readings from DHT22 sensors every minute. Within hours, you’ll have beautiful, long-term charts accessible from any device on your home network, helping you maintain the perfect comfort zone for infant sleep.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eTwo DHT22 sensors placed in the nursery monitor ambient conditions, feeding data to a Pi-hosted InfluxDB time-series database. Grafana pulls that data to create interactive dashboards with temperature trends, humidity history, and alerts for out-of-range readings. The result is a reliable, private monitoring system that gives you actionable insights into the room’s microclimate — without sharing any data to a cloud service.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eSet up Docker containers on Raspberry Pi and deploy InfluxDB with Grafana for time-series data storage and visualization\u003c\/li\u003e\n  \u003cli\u003eInterface multiple DHT22 digital sensors via GPIO and read temperature\/humidity with Python\u003c\/li\u003e\n  \u003cli\u003eDesign Grafana dashboards with custom panels, time ranges, and alert thresholds for real‑time monitoring\u003c\/li\u003e\n  \u003cli\u003eBuild a complete IoT pipeline — from sensor data ingestion to database persistence to beautiful analytics — without relying on cloud services\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 4 Model B 4GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eDHT22\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBMP280\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e4.7kΩ Resistors\u003c\/td\u003e\n\u003ctd\u003e10\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e40-pin GPIO Header\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eM-F Wires\u003c\/td\u003e\n\u003ctd\u003e20\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\u003eThis kit suits CBSE Class 11–12 students building IoT science exhibitions, B.Tech ECE\/EEE students prototyping sensor networks, and ATL Tinkering Lab mentors looking for a guided data‑logging project. It’s also an excellent fit for Smart India Hackathon teams needing a private, containerized monitoring stack, and for IIT\/NIT\/VIT\/BITS students exploring real‑world embedded systems.\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\u003eThe AI companion provides step‑by‑step troubleshooting, and you can send a WhatsApp message for human backup during Indian business hours.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I view the dashboard from my phone when I'm not at home?\u003c\/summary\u003e\u003cp\u003eGrafana is web‑based; initially it works on your home network. For remote access, the guide covers a secure Tailscale tunnel — no complex port forwarding required.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need internet access for the monitor to work?\u003c\/summary\u003e\u003cp\u003eThe sensors, database, and dashboard run fully locally on the Pi. Internet is only needed for initial Docker image pulls and if you enable optional remote dashboard viewing.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eHow accurate are the DHT22 sensors for infant rooms?\u003c\/summary\u003e\u003cp\u003eDHT22 provides ±0.5°C temperature and ±2% RH humidity accuracy, sufficient to detect uncomfortable swings. Two sensors let you compare readings at crib height and near the window.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eInfant Care — Pi 4 runs InfluxDB and Grafana in Docker. DHT22 data pushed every minute creates beautiful long-term trend charts.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/industrial-ph-sensor-module-for-arduino-esp32-raspberry-pi\"\u003eRaspberry Pi 4 Model B 4GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/dht22-temperature-humidity-sensor-module-accurate-readings\"\u003eDHT22\u003c\/a\u003e x2\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/bmp280-barometric-pressure-temperature-sensor-module-compodenin\"\u003eBMP280\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/resistor-variety-pack-100-pcs-10-values-14w-carbon-film\"\u003e4.7kΩ Resistors\u003c\/a\u003e x10\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-400-gpio-header-adapter-40-pin-breakout\"\u003e40-pin GPIO Header\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eM-F Wires x20\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 Baby Room Comfort Monitor Kit with Raspberry Pi 4 + DHT22?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Baby Room Comfort Monitor Kit with Raspberry Pi 4 + DHT22 includes all components needed: Raspberry Pi 4 Model B 4GB, DHT22, BMP280, 4.7kΩ Resistors, 40-pin GPIO Header 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 Baby Room Comfort Monitor Kit with Raspberry Pi 4 + DHT22?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 15-18. Infant Care — Pi 4 runs InfluxDB and Grafana in Docker. DHT22 data pushed every minute creates beautiful long-term trend charts. Estimated build time is 4-5 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Baby Room Comfort Monitor Kit with Raspberry Pi 4 + DHT22 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Baby Room Comfort Monitor Kit with Raspberry Pi 4 + DHT22 is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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