{"product_id":"gravity-offline-edge-ai-gesture-face-detection-sensor-5-gestures-10-faces-3m-arduino-rpi-esp32","title":"Gravity: Offline Edge AI Gesture \u0026 Face Detection Sensor – 5 Gestures, 10 Faces, 3m (Arduino\/ RPi\/ ESP32)","description":"\u003ch2\u003eIntroduction\u003c\/h2\u003e\n\u003cp\u003eThe Gravity: Offline Edge AI Gesture \u0026amp; Face Detection Sensor is designed for intuitive gesture control and multi-person presence detection. Equipped with an integrated camera and onboard AI processor, the sensor can \u003cb\u003erecognize 5 predefined hand gestures and detect up to 10 faces or upper-body presences simultaneously within a 3-meter range\u003c\/b\u003e. By combining computer vision and real-time edge AI computing, it delivers responsive and private interaction without cloud dependency.\u003c\/p\u003e\n\u003cp\u003eFeaturing dual communication interfaces (I2C and UART) and wide voltage support (3.3V–5V), this module is fully compatible with Arduino, Raspberry Pi, ESP32 and graphical platforms like MakeCode and Mind+. It is ideally suited for smart home interfaces, touchless control systems, public interaction devices, and privacy-focused IoT solutions.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eEdge AI Processing – Real-Time, Offline, and Privacy-Safe\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eAll recognition tasks are handled by the onboard AI processor—no data is ever stored or transmitted to the cloud. This completely offline operation guarantees data privacy, making it ideal for sensitive applications in healthcare, public spaces, or homes. Despite its powerful capabilities, the offline AI gesture Sensor has a low operating current of just 100mA, making it perfect for power-sensitive and standalone projects.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0668\/0641\/5437\/files\/E11004-content1.webp?v=1790483040\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRecognizes 5 Intuitive Hand Gestures\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe offline AI gesture \u0026amp; face detection sensor accurately recognizes five common hand gestures from 0.5 to 3 meters away. Each recognized gesture triggers a corresponding colored RGB light, providing instant visual feedback for seamless interaction. This makes it perfect for contactless control of smart appliances, interactive installations, and assistive devices.\u003c\/p\u003e\n\u003cp\u003eThe 5 recognized gestures are: Good (Thumbs-up, Blue light), OK (OK gesture, Green light), Stop (Open palm, Red light), Victory (V sign, Yellow light), Call me (Call me gesture, Purple light)\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eFace \u0026amp; Upper-Body Detection with Real-Time Data\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eBeyond gestures, the offline AI gesture \u0026amp; face detection sensor excels at detecting human presence by identifying the head-and-shoulders area. It can track up to 10 people simultaneously and outputs the total count in real-time. For more advanced applications, it provides the position coordinates (X\/Y) and confidence score of the most clearly detected face. This enables sophisticated functions like occupancy-based climate control, people-counting for retail analytics, or a fan that automatically tracks a person's position.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0668\/0641\/5437\/files\/E11004-content2.webp?v=1790483074\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eWide Detection Range with Optimized Field of View\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eWith an 85° diagonal field of view and a 3-meter detection range, the long-range AI gesture \u0026amp; face detection sensor ensures consistent and reliable performance in a variety of environments. Whether mounted on a wall, integrated into a device, or placed on a desk, its wide coverage is ideal for everything from small rooms to larger, multi-user spaces like classrooms or lobbies.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0668\/0641\/5437\/files\/E11004-content3.webp?v=1790483109\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0668\/0641\/5437\/files\/E11004-content4.webp?v=1790483135\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eOffline AI Processing: Fast, accurate, and private recognition performed entirely on the device.\u003c\/li\u003e\n\u003cli\u003e5 Predefined Hand Gestures: Recognizes Good (Thumbs-up), OK (OK gesture), Stop (Open palm), Victory (V sign), and Call me (Call me gesture).\u003c\/li\u003e\n\u003cli\u003eFace \u0026amp; Upper-Body Detection: Reliably detects human presence and can count up to 10 individuals simultaneously.\u003c\/li\u003e\n\u003cli\u003eRich Data Output: Provides face count, X\/Y position coordinates, and confidence scores for advanced applications.\u003c\/li\u003e\n\u003cli\u003eDual Communication Interfaces: Flexible integration using either I2C or UART (Modbus-RTU).\u003c\/li\u003e\n\u003cli\u003eWide Voltage Compatibility: Works seamlessly with both 3.3V and 5V systems.\u003c\/li\u003e\n\u003cli\u003eGraphical Programming Support: Compatible with platforms like MakeCode and Mind+.\u003c\/li\u003e\n\u003cli\u003eIntegrated Visual Feedback: Features distinct RGB and LED indicators for gesture and face detection status.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecification\u003c\/h2\u003e\n\u003cp\u003ePower Specifications\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSupply Voltage: 3.3V - 5V\u003c\/li\u003e\n\u003cli\u003eLevel Voltage: 3.3V\u003c\/li\u003e\n\u003cli\u003eOperating Current: 100mA\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eInterface Parameters\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCommunication Interface: PH2.0-4P \/ 2.54mm pin header\u003c\/li\u003e\n\u003cli\u003eCommunication Methods: I2C \/ UART\u003c\/li\u003e\n\u003cli\u003eDefault I2C Address: 0x72\u003c\/li\u003e\n\u003cli\u003eDefault UART Baud Rate: 9600\u003c\/li\u003e\n\u003cli\u003eUART Protocol: Modbus\u003c\/li\u003e\n\u003cli\u003eInterrupt Interface: 2.54mm pin header hole (Low level output on gesture recognition)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eRecognition Parameters\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGesture Recognition Types: 5, Good (Thumbs-up) \/ OK (OK gesture) \/ Stop (Open palm) \/ Victory (V sign) \/ Call me (Call me gesture)\u003c\/li\u003e\n\u003cli\u003eRecognition Distance (Gesture\/Face): 0.5 - 3 meters\u003c\/li\u003e\n\u003cli\u003eFacial Recognition Range: Area above the human shoulders\u003c\/li\u003e\n\u003cli\u003eMaximum Recognizable Faces: 10\u003c\/li\u003e\n\u003cli\u003eRecognition Score Range: 0 - 100\u003c\/li\u003e\n\u003cli\u003eFacial Position Coordinate Range: 0 - 640\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eDisplay Parameters\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGesture Indicator Light: RGB LED - Blue for Good (Thumbs-up), Green for OK (OK gesture), Red for Stop (Open palm), Yellow for Victory (V sign), Purple for Call me (Call me gesture)\u003c\/li\u003e\n\u003cli\u003eFacial Indicator Light: Single LED (lit for presence, unlit for no presence)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eMechanical Dimensions\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePCB Dimensions: 42mm * 32mm\u003c\/li\u003e\n\u003cli\u003eMounting Hole Spacing: 25mm * 35mm\u003c\/li\u003e\n\u003cli\u003eMounting Hole Diameter: 3.1mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocuments\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/wiki.dfrobot.com\/sen0626\/\" target=\"_blank\"\u003eProduct Wiki\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":50534801145933,"sku":"E11004-001","price":29.61,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0668\/0641\/5437\/files\/E11004-win1.jpg?v=1790483223","url":"https:\/\/www.mlab.com.au\/products\/gravity-offline-edge-ai-gesture-face-detection-sensor-5-gestures-10-faces-3m-arduino-rpi-esp32","provider":"MLAB","version":"1.0","type":"link"}