Grove Smart IR Gesture Sensor, infrared camera sensor, AI algorithm, over 15 gestures detection, I2C, SPI, support Grove, XIAO, Type-C connecting, 3.3V/5V

Grove Smart IR Gesture Sensor is an intelligent gesture recognition module equipped with an infrared camera sensor and applied AI algorithm. It can detect over 15 gestures with wide detection while supporting both IIC and SPI communication. This module also allows Grove, Type-C, and Seeed Studio XIAO direct connecting.

Feature

• Compact AI gesture sensor: Equip with an infrared camera sensor and apply AI algorithm to achieve gesture detection, in a compact size board of 4.3cm x 2.1cm
• Over 15 gestures with wide detection: Support various gestures such as N-finger push, pinch, tap, grab, rotation, thumb up/down, static, etc, with a detection range of 5-40cm
• High compatibility: Compatible with the XIAO series interface and the Grove connector through I2C communication while supporting images displayed on PC through SPI communication
• Flexible Voltage Selection: Grove Interface Compatible with 3.3V and 5V Systems

Description

Grove Smart IR Gesture Sensor is an intelligent gesture recognition module equipped with a PAG7646J1 infrared camera module, a PAG7661QN (ISP), and an LED fill light. It recognizes and interprets hand gestures through image recognition of the picture taken by the infrared camera, enabling clear gesture recognition even in dark environments.

The sensor supports various multi-finger gestures such as N-finger push, pinch, tap, grab, rotation, thumb up, thumb down, static gesture (1 to 5 fingers), and swipe. It can detect over 15 different types of hand gestures, making it suitable for a wide range of applications. With a detection range of 5-40cm, it provides accurate and reliable gesture recognition.

The High Compatibility of the sensor makes it easy to integrate into your projects. It is compatible with the XIAO series interface and supports the Arduino ecosystem by the Grove connector through the I2C connector. Gesture result data can be obtained by connecting to an MCU via the SPI pinhole, or Images can be displayed on a PC host through the Type-C interface. This flexibility makes it easy to use with a variety of systems and platforms.

Application

• Wireless Gesture Interaction
• Light Switch
• Function Panel Switch
• PPT interaction
• Robot Control
• Music Player Control

Specification

Hardware Overview