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Gravity: AI Visual Gesture and Face Tracking Sensor (5 Gestures, Range 3m)

$14.90
SKU: SEN0626
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Introduction

The AI Visual Gesture and Face Tracking Sensor is a high-performance, offline AI recognition module designed for non-contact interaction. With advanced facial tracking and gesture recognition capabilities, it detects up to five distinct gestures and tracks human presence within a range of 3 meters. Compatible with Arduino, Raspberry Pi, and IoT ecosystems, it enables seamless, touch-free operation in hygiene-sensitive environments, high-noise scenarios, and smart automation systems.

Gravity: AI visual gesture and face tracking sensor can detects 5 distinct gestures

Figure: Detects Five Distinct Gestures

Advanced AI-Powered Gesture Recognition

The sensor accurately detects 5 predefined gestures at a distance of up to 3 meters, allowing intuitive and responsive control without physical contact. It is ideal for applications such as non-contact equipment operation, smart home automation, and interactive public displays.

Real-Time Face and Motion Tracking

Equipped with head and shoulder recognition, the sensor can determine human presence and track movement within its field of view. This capability enables devices such as air conditioners and smart fans to dynamically adjust their operation based on user location, enhancing energy efficiency and automation.

Versatile Integration and Seamless Connectivity

The sensor supports both I2C and UART communication, making it compatible with a wide range of embedded systems. It operates at 3.3V–5V and integrates with platforms such as MakeCode and Mind+ for graphical programming, ensuring ease of use and flexible deployment.

Features

  • Offline AI visual recognition solution, accurate and fast recognition
  • High-sensitivity and high-speed recognition of five gestures
  • Accurate recognition up to 3 meters away
  • Support head and shoulder recognition, and can output the number and coordinates of head and shoulders
  • Two data communication methods: I2C and UART
  • Compatible with 3.3V/5V level and supply voltage
  • Support makecode and Mind+ graphical programming
  • Applications

  • Smart home automation
  • Hands-free control in hygiene-sensitive environments
  • Interactive multimedia systems
  • Specification

    Electrical Specifications

  • Operating Voltage: 3.3V – 5V
  • Logic Level Voltage: 3.3V
  • Current Consumption: 100mA
  • Communication & Interface

  • Connector Type: PH2.0-4P / 2.54mm pin header
  • Communication Protocols: I2C / UART
  • I2C Address: 0x72
  • Default UART Baud Rate: 9600bps
  • UART Protocol: Modbus
  • Interrupt Output: 2.54mm pin header
  • Recognition Capabilities

  • Supported Gesture Types (5):
           Thumbs up
           Extend the middle, ring, and little fingers
           Open palm facing outward
           Extend the index and middle fingers
           Extend the thumb and little finger
  • Maximum Recognizable Faces & Head-Shoulder Count: 10
  • Detection Area for Face & Shoulders: Recognizes upper-body presence within camera range
  • Face Recognition Confidence Score: 0 – 100
  • Position Coordinate Output: Supported
  • Gesture Recognition Distance: 0.5m – 3m
  • Face Recognition Distance: 0.5m – 3m
  • Camera Field of View (FoV): 85° (diagonal)
  • Camera Focal Length: 1.56mm
  • Visual Indicators

  • Gesture Recognition RGB Indicator:
           Blue: Thumbs up
           Green: Extend the middle, ring, and little fingers
           Red: Open palm outward
           Yellow: Extend the index and middle fingers
           Purple: Extend the thumb and little finger
  • Presence Detection LED: Illuminates when a person is detected, turns off when no presence is detected
  • Mechanical Dimensions

  • PCB Dimensions: 42mm × 32mm
  • Mounting Hole Spacing: 25mm × 35mm
  • Mounting Hole Diameter: 3.1mm
  • Shipping List

  • AI Visual Gesture and Face Tracking Sensor x1
  • Gravity PH2.0 - 4P connecting line x1
  • $0.00