SKU: SENS-2911
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DFRobot Gravity Offline Edge AI Gesture and Face Detection Sensor – 5 Gestures, 10 Faces, 3M Range, I2C/UART (Arduino/Raspberry Pi/ESP32)

₹1,909.00 (Inclusive of all taxes)
Out of Stock

The DFRobot Gravity Offline Edge AI Gesture and Face Detection Sensor is a vision module for touchless control systems, recognizing five hand gestures and detecting up to 10 faces or upper-body presences within a 3-meter range. It features onboard AI processing for real-time, privacy-safe operation and interfaces via I2C or UART, making it compatible with 3.3V-5V platforms like Arduino, Raspberry Pi, and ESP32.

Features

  • Offline Edge AI Processor for real-time gesture and face detection without cloud dependency.
  • Recognizes five distinct hand gestures and detects up to 10 faces/upper-body presences simultaneously.
  • Wide 85° field of view with a detection range from 0.5 to 3 meters.
  • Dual I2C and UART communication interfaces for flexible system integration.
  • Low power operation at 100mA, compatible with 3.3V to 5V logic systems.

Out of stock

Description

This advanced vision sensor integrates a dedicated AI processor to perform real-time gesture recognition and multi-person detection entirely offline, ensuring data privacy and low-latency response. It operates on a computer vision algorithm optimized for edge computing, eliminating the need for constant internet connectivity.

Designed for robust integration, the module features a compact form factor and communicates via standard I2C or UART protocols. Its wide 85° horizontal field of view and 3-meter maximum range make it suitable for interactive installations, while its low power consumption allows for deployment in battery-powered or energy-conscious applications.

Key Features

  • Onboard Edge AI processor enables privacy-focused, real-time vision processing without cloud latency.
  • High-capacity detection engine for simultaneous tracking of multiple subjects (up to 10 faces/upper bodies).
  • Pre-trained model recognizes five core hand gestures (e.g., swipe, push, circle) for intuitive touchless control.
  • Wide 85° horizontal field of view provides broad coverage for interactive zones and occupancy monitoring.
  • Dual-interface design with selectable I2C (default) and UART communication for flexible microcontroller/PLC integration.
  • Low operating current of 100mA (typical) supports deployment in power-sensitive and portable designs.
  • 3.3V to 5V wide voltage compatibility ensures seamless operation with Arduino, Raspberry Pi, ESP32, and other common development platforms.
  • Optimized performance-to-cost ratio for adding advanced computer vision capabilities to embedded systems.

Applications

  • Touchless control interfaces for public information kiosks, ATMs, or elevator panels.
  • Occupancy monitoring and people counting in smart buildings, retail spaces, or conference rooms.
  • Gesture-based control for stage lighting, multimedia presentations, and interactive art installations.
  • Smart home automation for gesture-controlled appliances, lighting, and audio systems.
  • Human-machine interaction (HMI) in robotics and educational platforms for contactless command input.

Technical Specifications

Detection TypeGesture & Face/Upper-Body Presence
Gestures Recognized5
Max Faces/Presences Detected10
Detection Range0.5 m to 3 m
Field of View85°
Operating Voltage3.3 V to 5 V DC
Operating Current100 mA (typical)
Communication InterfaceI2C (default), UART
Dimensions (L x W)42 mm x 32 mm
Weight6 g
CompatibilityArduino, Raspberry Pi, ESP32, MakeCode

Frequently Asked Questions

What is the operating voltage range for this AI sensor?

The sensor operates from 3.3V to 5V DC, making it directly compatible with most microcontroller platforms like Arduino Uno (5V), Raspberry Pi GPIO (3.3V), and ESP32 boards. Ensure your power supply can provide the typical operating current of 100mA.

How do I communicate with the sensor, and what protocols are supported?

The module supports both I2C and UART serial communication interfaces. It ships configured for I2C by default. You can switch to UART mode via a configuration command. Use the provided Gravity 4-pin PH2.0 cables for connection to compatible controller shields or breakout boards.

Does the sensor require an internet connection or cloud service to function?

No. All AI processing for gesture and face detection is performed onboard the module's dedicated edge processor. This enables real-time, offline operation, which enhances response speed and ensures user privacy as no image data needs to be transmitted externally.

What is the effective detection range and field of view?

The sensor can detect gestures and faces within a range of approximately 0.5 meters to 3 meters. It features a wide 85-degree horizontal field of view, allowing it to cover a significant area for interactive applications or occupancy sensing.

Is this sensor suitable for battery-powered projects?

Yes, its relatively low power consumption (100mA typical) makes it feasible for battery-powered applications, especially when used with deep sleep or periodic wake-up strategies. Consider the total system power budget when designing portable or wireless touchless interfaces.

Package Includes

  • 1 x Gravity Offline Edge AI Gesture & Face Detection Sensor
  • 1 x Gravity PH2.0-4P Connecting Cable
  • 1 x Double-ended PH2.0-4P Cable

Additional Information

Weight 0.006 kg
Dimensions 4.2 × 3.2 cm