Gravity: Offline Edge AI Gesture & Face Detection Sensor – 5 Gestures, 10 Faces, 3m Range for Arduino/Raspberry Pi / ESP32

Transform your projects with this cutting-edge Gravity Offline Edge AI Gesture & Face Detection Sensor. This compact yet powerful device recognizes 5 distinct hand gestures and detects up to 10 faces or upper-body presences simultaneously within a ​​3-meter range​​. Featuring an integrated camera and onboard AI processor, it enables real-time, ​​100% offline data processing​​—ensuring complete privacy with no cloud connectivity or data storage. The sensor’s ​​85-degree diagonal field of view​​ and dual I2C/UART interfaces make it ideal for smart home automation, touchless controls, and interactive installations. With 3.3V-5V compatibility, it seamlessly integrates with Arduino, Raspberry Pi, and ESP32, while its low 100mA power consumption suits energy-sensitive applications. The built-in RGB indicator provides instant gesture feedback, enhancing user interaction for modern, touch-free solutions.

• ​​100% Offline Privacy Protection​​: Processes data locally with no cloud dependency—ideal for hospitals, bathrooms, and child-safe environments. Zero data storage or transmission ensures compliance with strict privacy regulations.
• Real-Time Gesture & Multi-Person Detection​​: Instantly recognizes 5 intuitive hand gestures (thumbs up, peace sign, etc.) and detects up to 10 faces or upper-body presences simultaneously within 3 meters for responsive touchless control.
• Dual-Purpose for Smart Automation & IoT​​: Perfect for occupancy-based HVAC, lighting automation, and interactive displays. RGB indicators and real-time coordinates simplify integration into smart homes, offices, and public spaces.
• Wide Coverage & Flexible Installation​​: 85° diagonal field of view and 3-meter range ensure reliable performance on walls, ceilings, or desks—ideal for hallways, classrooms, and compact spaces.
• Plug-and-Play Compatibility​​: Works seamlessly with 3.3V/5V systems, Arduino, Raspberry Pi, ESP32, and graphical platforms (MakeCode/Mind+). Includes I2C/UART interfaces for effortless prototyping.