Gravity Offline Edge AI Gesture & Face Detection Sensor

Introduction The Gravity: Offline Edge AI Gesture & 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 recognize 5 predefined hand gestures and detect up ...Introduction The Gravity: Offline Edge AI Gesture & 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 recognize 5 predefined hand gestures and detect up to 10 faces or upper-body presences simultaneously within a 3-meter range.

By combining computer vision and real-time edge AI computing, it delivers responsive and private interaction without cloud dependency. Featuring 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.

Edge AI Processing – Real-Time, Offline, and Privacy-Safe All 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 sensor has a low operating current of just 100mA, making it perfect for power-sensitive and standalone projects.

Figure: Edge AI Processing – Real-Time and Offline Recognizes 5 Intuitive Hand Gestures – Touchless Control Made Easy The 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.

The 5 recognized gestures are: Good