Description

IR Infrared Obstacle Avoidance Sensor Module for Arduino

Enhance your robotics and engineering projects with the high-performance IR Infrared Obstacle Avoidance Sensor Module, perfect for Arduino DIY enthusiasts and hobbyists focused on building smart car robots. With capabilities ranging from robot obstacle avoidance to line tracking, this versatile module is an essential component for any smart automated project.

Key Features:

• Distance Detection: Capable of detecting objects within 2 to 30cm range with an adjustable detection angle of 35°.
• High Compatibility: Direct connection to a microcontroller IO port and able to directly drive a 5V relay.
• Power Supply: Suitable for 3-5V DC power modules.
• Indicator: Includes a green indicator light that illuminates when obstacles are detected, and a red power indicator light.
• Output Signal: Outputs digital signal (low-level signal) through OUT pin when obstacles are detected.
• Durable Design: Equipped with 3mm screw holes for easy and secure installation.
• Compact Size: Board measures just 3.1CM bin doc ebay-girilecek.txt ebaysdk-python include item lib lib64 lister output.txt product_ids.txt properties pyvenv.cfg README.md report requirements.txt run template tmp2.txt tmp.txt woo-girilecek.txt woo-girilen.txt 1.5CM (1.22 bin doc ebay-girilecek.txt ebaysdk-python include item lib lib64 lister output.txt product_ids.txt properties pyvenv.cfg README.md report requirements.txt run template tmp2.txt tmp.txt woo-girilecek.txt woo-girilen.txt 0.59 inches).

Specifications:

• Interface:
  • VCC: External 3.3V-5V voltage
  • GND: External Ground
  • OUT: Digital output interface (0 and 1)
• Comparator: LM393
• Installation: Easy fixed installation with 3mm screw holes.

Package Includes:

• 1 x IR Infrared Obstacle Avoidance Sensor Module

Whether it’s for automated robot projects, smart vehicles, or educational purposes, this Infrared Obstacle Avoidance Sensor Module offers reliability and precision to take your Arduino projects to the next level. Order now and advance your DIY robotics and smart car engineering!