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

##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 GesturesAdvanced AI-Powered Gesture RecognitionThe 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 TrackingEquipped 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 ConnectivityThe 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 recognitionHigh-sensitivity and high-speed recognition of five gesturesAccurate recognition up to 3 meters awaySupport head and shoulder recognition, and can output the number and coordinates of head and shouldersTwo data communication methods: I2C and UARTCompatible with 3.3V/5V level and supply voltageSupport makecode and Mind+ graphical programming ##Applications Smart home automationHands-free control in hygiene-sensitive environmentsInteractive multimedia systems ##Specification Electrical SpecificationsOperating Voltage: 3.3V – 5VLogic Level Voltage: 3.3VCurrent Consumption: 100mA Communication & InterfaceConnector Type: PH2.0-4P / 2.54mm pin headerCommunication Protocols: I2C / UARTI2C Address: 0x72Default UART Baud Rate: 9600bpsUART Protocol: ModbusInterrupt Output: 2.54mm pin header Recognition CapabilitiesSupported 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 fingerMaximum Recognizable Faces & Head-Shoulder Count: 10Detection Area for Face & Shoulders: Recognizes upper-body presence within camera rangeFace Recognition Confidence Score: 0 – 100Position Coordinate Output: SupportedGesture Recognition Distance: 0.5m – 3mFace Recognition Distance: 0.5m – 3mCamera Field of View (FoV): 85° (diagonal)Camera Focal Length: 1.56mmVisual IndicatorsGesture 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 fingerPresence Detection LED: Illuminates when a person is detected, turns off when no presence is detectedMechanical DimensionsPCB Dimensions: 42mm × 32mmMounting Hole Spacing: 25mm × 35mmMounting Hole Diameter: 3.1mm ##Documents Product wikiArduino Tutorial Mind+ (Based on Scratch3.0) Graphical ProgrammingMakecode Tutorial2D CAD2D DXF3D STP ##ShippingList AI Visual Gesture and Face Tracking Sensor x1Gravity PH2.0 - 4P connecting line x1