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.
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