Grove Smart IR Gesture Sensor - gesture sensor with IR camera PAG7646J1
ID: 1188518
zł118.14
Tax included
zł96.05 tax excl.
intelligent gesture recognition module equipped with an IR camera module PAG7646J1, PAG7661QN (ISP) and a LED for backlighting. Recognizes and interprets hand gestures by recognizing the image recorded by an infrared camera. Seeed Studio 101991067
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Description
Grove Smart IR Gesture Sensor is an intelligent gesture recognition module equipped with a PAG7646J1, PAG7661QN (ISP) IR camera module and an LED for illumination. Recognizes and interprets hand gestures by recognizing the image captured by the infrared camera, enabling clear gesture recognition even in dark environments.
The sensor supports various multi-finger gestures such as N-finger swipe, pinch, tap, grab, rotate, 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 to 40 cm, it ensures accurate and reliable gesture recognition.
High compatibility makes it easy to integrate into the project. It is compatible with the XIAO series interface and supports the Arduino ecosystem through the Grove connector via the I2C connector. The resulting gesture data can be obtained by connecting it to a microcontroller via SPI, or the images can be displayed on a PC via the Type-C interface. This flexibility makes it easy to use across different systems and platforms.
Features
- Infrared camera sensor: PAG7646J1
- Built-in LED light: AU3838A-ZRR-1000mA
- AI-based chip: PAG7661QN
- Power supply: 3.3V/5V
- Detection range: 5 to 40 cm
- Detected gestures: finger press, pinch, tap, grab, rotate, thumb up, thumb down, static gesture (1 to 5 fingers), swipe
- Power supply: 3.3V/5V
- I2C connector: Grove, Seeed Studio XIAO
- SPI connector
- Dimensions: 43 x 21 mm
1188518
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intelligent gesture recognition module equipped with an IR camera module PAG7646J1, PAG7661QN (ISP) and a LED for backlighting. Recognizes and interprets hand gestures by recognizing the image recorded by an infrared camera. Seeed Studio 101991067