GRAVITY: OFFLINE EDGE AI GESTURE

CODICE MEPA: 0123260235
BRAND: DFRobot
CODICE PRODUTTORE: SEN0626
CODICE SKU: DF-SEN0626
Disponibilità: 393 Disponibilità (legenda)
23,10 (escl. IVA)
Descrizione completa
Introduction

The AI Visual Gesture and Human Presence Tracking Sensor is a high-performance, offline AI recognition module designed for non-contact interaction. Featuring advanced gesture recognition and head-and-shoulder detection, it identifies up to five distinct gestures and senses human presence within a range of 3 meters. Compatible with Arduino, Raspberry Pi, and IoT ecosystems, it enables seamless, touch-free control in hygiene-sensitive environments, high-noise scenarios, and smart automation systems.

AI Visual Gesture and Human Presence Tracking Sensor can detects 5 distinct gestures

Figure: Detects Five Distinct Gestures

Advanced AI-Powered Gesture Recognition

The sensor accurately recognizes 5 predefined gestures at distances up to 3 meters, enabling intuitive and contact-free interaction. Ideal for applications such as non-contact device operation, smart home control, and interactive public displays. Human Presence and Motion Detection With built-in head-and-shoulder detection, the sensor identifies human presence and movement in its field of view. It outputs the number and coordinates of detected upper-body targets, allowing smart devices like fans or lighting systems to dynamically respond to user location�enhancing automation and energy efficiency. Versatile Integration and Seamless Connectivity Supporting both I2C and UART communication, the sensor integrates easily with various embedded platforms. Operating at 3.3V�5V, it is also compatible with graphical programming platforms such as MakeCode and Mind+, simplifying development and deployment.

Features
  • Offline AI visual recognition with fast and accurate response
  • High-sensitivity recognition of five hand gestures
  • Reliable detection at distances up to 3 meters
  • Supports head-and-shoulder detection with coordinate and count output
  • Dual communication interfaces: I2C and UART
  • Compatible with 3.3V and 5V logic and power supply
  • Supports graphical programming via MakeCode and Mind+
  • 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 Human Presence Tracking Sensor x1
  • Gravity PH2.0 - 4P connecting line x1
  • Documents
  • Product wiki
  • Arduino Tutorial
  • Mind+ (Based on Scratch3.0) Graphical Programming
  • Makecode Tutorial
  • 2D CAD
  • 2D DXF
  • 3D STP
  • Applications
  • Smart home automation
  • Hands-free control in hygiene-critical areas
  • Interactive multimedia and information systems