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Price comparison product image Electrely 10Pcs IR Infrared Obstacle Avoidance Sensor Module for Arduino Smart Car Robot,  Infrared Tube Module,  Photoelectric Reflection Sensor

Electrely 10Pcs IR Infrared Obstacle Avoidance Sensor Module for Arduino Smart Car Robot, Infrared Tube Module, Photoelectric Reflection Sensor

by Electrely
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£9.99
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Last refresh Dec/24/2018 04:41 PM
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The sensor module has strong adaptability to ambient light, and has a pair of infrared emitting and receiving tubes. The transmitting tube emits infrared rays of a certain frequency. When the detecting direction encounters an obstacle (reflecting surface), the infrared rays are reflected and received by the receiving tube. After the comparator circuit is processed, the green indicator light will be on and the signal output interface will output a digital signal (a low level signal).

Specification:

Board size: 32mmx14mm(1.26x0.55inch)

Power supply: DC 3-5V

Detection distance: 2~30cm

Detection angle: 35°

Comparators using LM393, stable operation

With 3mm screw holes for easy fixing and installation

Features: Low interference, easy assembly and convenient to use.

Application: Widely used in robots to avoid obstacles, obstacle avoidance cars, assembly line counting and black and white line tracking, etc.

Package Included:

10 x IR Infrared Obstacle Avoidance Sensor Module

Module Interface Description:

1 - VCC: external 3.3V-5V voltage (can be directly connected to 5v microcontroller and 3.3v microcontroller)

2 - GND: External GND

3 - OUT: small board digital output interface (0 and 1)

Module Parameter Description:

The sensor actively detects infrared reflections, so the reflectivity and shape of the target are the key to detecting the distance. Among them, the black detection distance is the smallest and the white is the largest, the small area object has a small distance and the large area distance is large.

Note:

Each module has adjusted the threshold comparison voltage through the potentiometer during shipment. For non-special cases

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