DFRobot Gravity Digital shock sensor

A module with a PIR motion sensor, which has outputs for controlling 230 V LED lighting. ModPirSen

Module with a PIR motion sensor designed for M5Stack modules. It can detect movement up to 5 meters with a detection angle of 100 degrees. M5Stack U004

Advanced 60 GHz radar, capable of detecting human presence, falls, posture and vital signs such as heart rate and breathing – even when motionless. Ceiling-mounted and compatible with platforms such as Arduino or ESP32, it is ideal for healthcare systems, especially for monitoring sleep and the safety of the elderly. DFRobot SEN0623

Wind speed sensor 0-70 m/s made of durable polycarbonate, offers high accuracy and fast response time. It is equipped with RS485 interface. Suitable for agricultural, meteorological and industrial applications. The set includes a sensor, cable and mounting kit.

Module with a PIR motion sensor. It can detect movement up to 5 meters with a detection angle of 120 degrees

Module with an optical flow sensor PMW3901. It uses a low resolution camera to detect surface movement. It communicates via the SPI interface. Pimoroni PIM453

Module with PIR S16-L221D motion sensor. The board is equipped with a Grove connector and communicates via a digital interface. Seeed Studio 101020617

Module with an incremental encoder with a rotation range of 360°. The board is equipped with a Grove connector and communicates via a digital interface. Seeed Studio 111020001

Module with the PIR EKMB1107112 motion sensor, the standby power consumption of up to 1 uA. SparkFun SEN-17373

Pmod PIR is a module with a PIR motion sensor (EKMC1601111), which allows you to detect motion up to 5 meters from the module. The sensor during operation is characterized by low power consumption. Digilent 410-389

The GR10-30 sensor module, which can recognise up to 12 user gestures from a distance of up to 30 cm. It supports communication via both UART and I2C interfaces. DFRobot SEN0543

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 vibration sensor LDT0-028. The board is equipped with a Grove connector and has a digital output. Seeed Studio 101020031

Crowtail-Microwave Sensor 2.0 is a motion sensor module based on the Doppler effect, designed for integration with Arduino and Crowduino platforms. Thanks to its resistance to environmental factors, it is suitable for industrial automation, security systems and smart installations.

A small module with a GY-PAJ7620U2 gesture detection sensor. Can recognize 9 gestures. Communication via the I2C interface.

The modPhotoelectric sensor with an LM393 comparator and a 10 mm slot width enables reliable detection of interrupters in applications requiring pulse counting, position detection, and speed measurement. Thanks to its digital TTL output and mounting holes, it is suitable for direct integration with microprocessor systems. modPhotoelectric