About This Course
Skills you'll learn from this course
- done_all Basics of Infrared sensors and their applications
- done_all Hardware assembly of IR sensors on a Raspberry Pi-based wheeled robot
- done_all Basics of processing IR sensor signals
- done_all Detecting black and white surfaces with IR sensors and Python programming
The "Infrared Sensors" course of the Sensors and IoT course path, introduces users to the category of infrared (IR) sensors and how to equip wheeled robots with them in order to make the robots capable of detecting the difference between black and white surfaces and navigate through a challenging course. At first, students are presented with the basics of infrared technology and how this is applied to create different types of sensors. Then, students learn how to mount the IR sensors on the wheeled robot created in the wheeled robot course series. Afterwards, the basic principles of IR sensor output signal processing is analyzed and the methodology for detecting black and white surfaces with IR sensors and Python programming is presented. Finally, students tackle the final challenge of making the wheeled robot follow a black path on a white floor using all the skills they have attained.
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Course Features
- check_circle Programming Environment
- check_circle Jupyter Notebook
- check_circle Forum & Support
Course Chapters
Course Introduction
Course Objectives
Theoretical Principles
- Infrared(IR) Sensors
- IR Sensor Types
- IR Transmitter
- IR Receiver
- IR Sensor Function
- Black-White Distinction
- TCRT5000 IR Sensor
- Mini Challenge
Hardware Assembly
- Component Intro
- Hardware Assembly
- Mini Challenge
Programming
- Robot Management
- WorkSpace Setup
- Using IR Sensors
- Mini Challenge
Challenge
- Session Objectives
- Challenge Introduction
- Challenge Time
- Submit Your Code
- Upload Your Video
- Course Completion
