Gravity: Offline Edge AI Gesture & Face Detection - AI module for gesture and face detection

SEN-11999

The module is based on the Acconeer XM125 radar, which uses 60 GHz radar technology, offering distance measurement up to 20 meters and recognition of objects and their movement speed. The sensor is characterized by low power consumption, making it ideal for battery-powered devices, and also allows for various detection modes, such as level measurement or human presence. Supported by the Arduino library and the Acconeer Exploration Tool, the module provides support for monitoring, debugging and configuration, offering a wide range of applications from smart homes to advanced robotics and security systems. SParkFun SEN-24540

Module with trackball and RGB backlight. It has a built-in button and is perfect for building your own mouse, for example. Pimoroni PIM447

The LD2411-S module is a 24 GHz radar for precise detection of human motion and micro-motion at distances up to 6 meters. modHLK-LD2411S

The MR60FDA2 sensor kit uses 60GHz mmWave technology to reliably detect falls and people. It offers Home Assistant integration thanks to the XIAO ESP32C6 module and pre-installed ESPHome firmware. Equipped with a BH1750 light intensity sensor, RGB LED indicator and the possibility of expanding with Grove sensors, it is ideal for monitoring health, safety and home automation. Seeed Studio 114993388

Module with STP201M motion sensor with pedometer function. Built on the basis of an accelerometer and MCU, dedicated to sports bands and smartwatches

Doppler radar module with 24GHz transceiver. It allows for precise distance measurement and motion detection. The board communicates via the UART interface. Seeed Studio 101990883

A small module with a PIR motion sensor. It allows detecting movement within a maximum range of 6 meters (default up to 3 meters). The measuring angle is 120 degrees. The module has a connector in accordance with the Grove standard. Seeed Studio 101020020

A set with a Doppler radar module and an XIAO ESP32C3 board designed for precise detection of human presence. It allows you to connect additional Grove sensors (analog or with an I2C interface) and expand the functionality. Seeed Studio 110061541

Module with PIR EKMC4607112K motion sensor, power consumption in standby mode up to 170 uA. The board communicates via I2C and is equipped with a Qwiic connector. SparkFun SEN-17374

A module with a motion sensor that uses microwaves to detect moving objects. It is powered with the voltage of 5 V and has a digital output. DFRobot SEN0521

A compact module based on the PAA5160E1 sensor that provides precise motion data on two axes. It is supported by a built-in 6-axis IMU sensor and a microcontroller for sensor fusion algorithms. With exceptional performance, low error rate and support for the Qwiic interface, the sensor is an ideal solution for navigation in warehouse robots and other high-speed applications, and user-friendly programming libraries make it easy to integrate into projects. SparkFun SEN-24904

A sensor for measuring the wind speed. It has a built-in Hall sensor and enables measurements in the range from 0 to 32.4 m/s. DFRobot SEN0483

Module with PIR sensor HC-SR501. It can detect movement up to 7 meters with a detection angle of 120 degrees

Energy-saving 24 GHz sensor LD2410S based on FMCW technology and the Doppler effect, designed to detect human presence and micro-movements in real time. Thanks to the built-in AI algorithm and a range of up to 8 meters and a wide detection angle (±60°), it is perfect for building automation, smart lighting and IoT devices. It supports UART and GPIO interfaces, offers very low power consumption (from 0.04 mA in standby mode) and allows configuration through intuitive tools, making it ideal for integration in modern projects.

Module with PIR EKMB1107112 motion sensor, power consumption in standby mode up to 1 uA. The board communicates via I2C and is equipped with a Qwiic connector. SparkFun SEN-17375