Computer Science
Grade 4
20 min
8. Computer Vision for Robotics: Object Recognition and Tracking
Learn how to use computer vision techniques for object recognition and tracking in robotics applications.
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1
Introduction & Learning Objectives
Learning Objectives
Define 'computer vision' and explain how a robot uses a camera to 'see'.
Differentiate between object recognition (what is it?) and object tracking (where is it going?).
Create a simple step-by-step algorithm for a robot to find an object based on its color.
Use 'If-Then' logic to describe how a robot makes a decision after seeing an object.
Explain why object recognition is important for a robot to complete a task.
Identify at least two real-world examples of robots using computer vision.
Have you ever wondered how a robot can play fetch or sort colorful blocks all by itself? 🤖🎾 How does it know which object is which?
In this lesson, we'll learn how robots use cameras as their 'eyes' to see the world. We wi...
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Key Concepts & Vocabulary
TermDefinitionExample
Computer VisionTeaching a computer how to see and understand pictures and videos, just like our eyes and brain do.A robot uses its camera to know it's looking at a cat, not a dog.
Object RecognitionWhen a robot can identify and name what it sees in a picture.The robot's camera sees a round, red fruit and its program says, 'That is an apple!'
Object TrackingWhen a robot can follow a moving object with its camera or body.A robot keeps its camera pointed at a toy car as you drive it around the room.
CameraThe robot's eye. It takes pictures of the world for the robot's 'brain' (the computer) to understand.The small lens on the front of a robot that lets it see the room.
AlgorithmA set of step-by-step instructions that a computer or...
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Core Syntax & Patterns
The 'If-Then' Vision Rule
IF [robot sees a specific thing], THEN [do a specific action].
This is the most important rule for making a robot react to what it sees. You tell the robot what to look for (like a color or shape) and what to do when it finds it.
The 'Find and Follow' Algorithm
1. Look for [Object]. 2. IF you see it, move towards it. 3. IF you don't see it, turn until you do. 4. Repeat.
This is a simple set of steps (an algorithm) that tells a robot how to first find an object and then track it as it moves.
The Color Recognition Pattern
1. Look at the pixels in the camera's view. 2. Check their color. 3. IF the color is [Target Color], THEN [do an action].
A simple way for a robot to recognize an object is by its color. This pat...
4 more steps in this tutorial
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Challenging
A fruit-sorting robot keeps putting yellow lemons into the banana bin. Both fruits are yellow. What is the most likely reason for this mistake in its recognition program?
A.The robot likes bananas more than lemons.
B.The program is relying too much on color and not enough on shape.
C.The lemons are not yellow enough.
D.The robot's camera is broken and can only see yellow.
Challenging
You want your personal robot to follow you through a crowded room. What would be the BEST and most unique thing to show the robot's camera to help it track YOU specifically?
A.Your face, since everyone's is a little different.
B.Your blue shirt, because other people might also be wearing blue shirts.
C.Your hands, because everyone has hands.
D.special QR code (like a blocky barcode) on a card, which is unique and easy for a computer to read.
Challenging
You are writing an algorithm for a robot to find your dog's favorite blue ball in a messy room. What would be the first two steps in the robot's vision program?
A.1. Scan the room with the camera. 2. Look for blue-colored pixels.
B.1. Pick up every object. 2. Ask if it is the ball.
C.1. Drive to the center of the room. 2. Spin around.
D.1. Look for round-shaped objects. 2. Listen for a bark.
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