{"product_id":"kit-esp32-s3-edge-impulse-gesture-kit","title":"ESP32-S3 Edge Impulse Gesture Kit","description":"\u003ch1\u003eBuild a Gesture Classifier with ESP32-S3 and Edge Impulse\u003c\/h1\u003e\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\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 Edge AI \u0026amp; Gesture Recognition\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cp\u003eTrain your own gesture classifier entirely in the cloud using Edge Impulse Studio, then deploy it to an ESP32-S3 that runs on-device inference. You'll capture real 3-axis accelerometer data from the MPU6050 IMU, label gestures like swipes, circles, or flicks, and train a neural network. Once deployed, the 0.96-inch OLED instantly shows the recognized gesture — no PC or internet needed. It's a complete edge AI pipeline from data collection to classification, ready for robotics control or wearable interfaces.\u003c\/p\u003e\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eA standalone gesture recognition system that reads your hand motion and displays the gesture name on the OLED screen. You'll create a labelled dataset in Edge Impulse, design a compact neural network that fits the ESP32-S3, and validate it against real-world movements. The final device can distinguish up to 5 custom gestures and forms the foundation for gesture-controlled drones, smart wearables, or interactive school projects.\u003c\/p\u003e\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eCollect and label accelerometer time-series data in Edge Impulse Studio\u003c\/li\u003e\n  \u003cli\u003eDesign a neural network classifier for 3-axis motion gestures\u003c\/li\u003e\n  \u003cli\u003eTrain, validate, and export the model to C++ for ESP32-S3 deployment\u003c\/li\u003e\n  \u003cli\u003eIntegrate the MPU6050 IMU with I2C and display real-time predictions on an OLED\u003c\/li\u003e\n\u003c\/ul\u003e\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\u003eESP32-S3 Dev Board\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMPU6050 IMU\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e0.96in OLED\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMicroUSB Cable\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\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\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eThis kit is ideal for Indian students in CBSE Classes 11–12 exploring AI and IoT, B.Tech ECE\/CSE students building mini projects for Smart India Hackathon, and ATL labs that need a structured introduction to Edge Impulse. It bridges the gap between cloud-based ML training and on-device inference on a real microcontroller, giving learners at IIT, NIT, VIT, and BITS campuses a hands-on edge AI credential.\u003c\/p\u003e\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\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eScan the QR code on the box to launch the AI build companion, trained on this exact kit. You can also message us on WhatsApp for real-time troubleshooting.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need prior experience with Edge Impulse?\u003c\/summary\u003e\u003cp\u003eNo prior experience is needed. The kit includes step-by-step guidance to create an Edge Impulse account, collect sensor data, design the model, and deploy it. The AI companion walks you through every screen.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I train more than 5 gestures?\u003c\/summary\u003e\u003cp\u003eYes, the ESP32-S3 has enough memory to handle up to 10 gesture classes, depending on the complexity of the neural network. You can expand the project with additional training data and retrain right in the browser.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eIs the kit compatible with a Mac or Windows PC?\u003c\/summary\u003e\u003cp\u003eEdge Impulse Studio runs in any modern browser, so the training workflow works on Windows, macOS, and Linux. Programming the ESP32-S3 uses Arduino IDE, which is also cross-platform.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003eTrain a gesture classifier in Edge Impulse Studio and deploy to ESP32-S3 IMU — accelerometer-based gesture recognition.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/arduino-uno-r4-wifi-board-with-esp32-s3-module-ra4m1-cortex-m4\"\u003eESP32-S3 Dev Board\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/mpu6050-3-axis-gyroaccel-sensor-module-compoden\"\u003eMPU6050 IMU\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/096in-oled-display-128x64-i2cspi-for-arduino-raspberry-pi\"\u003e0.96in OLED\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/microusb-cable-1m-charging-data-cord-for-arduino-android\"\u003eMicroUSB Cable\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 ESP32-S3 Edge Impulse Gesture Kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The ESP32-S3 Edge Impulse Gesture Kit includes all components needed: ESP32-S3 Dev Board, MPU6050 IMU, 0.96in OLED, MicroUSB Cable, M-M Wires 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 ESP32-S3 Edge Impulse Gesture Kit?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 16-21. Train a gesture classifier in Edge Impulse Studio and deploy to ESP32-S3 IMU — accelerometer-based gesture recognition. Estimated build time is 4-5 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the ESP32-S3 Edge Impulse Gesture Kit online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the ESP32-S3 Edge Impulse Gesture Kit is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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