Semester 2: Robotics & Machine Learning (Block Coding)

In this semester, students will work with advanced sensors and will be introduced to the concept of Machine Learning in a block coding environment.

Sensors:

Infra Red Sensor
Ultrasonic Sensor

Software: Pictoblox (Block-Based Coding Platform)

Microcontroller: Arduino UNO

Pre-requisite: Semester 1

Course Duration: 36-40 Classes (9-10 Months Approx)

Course Content

Introduction to IR Sensor
Learners will learn about IR sensors, their use in everyday appliances and how to calibrate and code them.

What is an IR Sensor?
What is Infrared?
Working Principle

Smart Counter
Learners will design a counter that changes according to the input given by two IR Sensors.

Hand Gesture Car
Learners will develop a robot that follows human gestures using IR sensors.

Line Follower Car
Learners will build a smart line follower robotto follow a black or a white line.

Introduction to Ultrasonic Sensor
Learners will learn about ultrasonic sensors and how to measure the distance of an obstacle using them.

Smart Dustbin
Learners will develop a smart dustbin that senses if somebody stands in front and opens autonomously.

Height Measuring Device
Learners will develop a device that automatically detects the height of a person standing underneath it.

Introduction to Machine Learning Environment
Learners will learn the use of Machine Learning to train algorithms.

What is Machine Learning?
What is Teachable Machines
How to create a Machine Learning Model
What is Artificial Intelligence?
Use of Artificial Intelligence
Types of Machine Learning
Key concepts in Machine Learning
What is Deep Learning and its key features?
What is Pattern Recognition?
Real-time examples of Pattern Recognition

Rock, Paper, Scissors Game
Learners will use teachable machines to train their computer for playing Rock, Paper, Scissors Game.

Hand Pose Classifier
Learners will leverage the power of Artificial Intelligence to detect different hand postures.

Object Classifier
Learners will use ML to train their computers to identify and detect unique objects.

A course by

Spaceefic

Student Ratings & Reviews

No Review Yet

Price:Free
Instructor:Spaceefic
Duration: 80 hours
Lessons:54
Students:0
Level:Beginner

Semester 2: Robotics & Machine Learning (Block Coding)

What Will You Learn?

Audience

Course Content

Introduction to IR Sensor Learners will learn about IR sensors, their use in everyday appliances and how to calibrate and code them.

What is an IR Sensor?

What is Infrared?

Working Principle

Smart Counter Learners will design a counter that changes according to the input given by two IR Sensors.

What is a Smart Counter? How does it work?

Components Required

Circuit Connections

Code (level 1): Using a single IR sensor

Code (level 2): Smart Attendance using two IR sensors and TM 1637 display

Hand Gesture Car Learners will develop a robot that follows human gestures using IR sensors.

What is a Hand Gesture Car?

Components Required

Circuit Connections

Car direction for each motor rotation

Code

Line Follower Car Learners will build a smart line follower robotto follow a black or a white line.

What is Line Following Car?

Components Required

Circuit Connections

IR sensor feedback for each motor

Code

Introduction to Ultrasonic Sensor Learners will learn about ultrasonic sensors and how to measure the distance of an obstacle using them.

What is Ultrasonic Sensor

Pin Connection of Ultrasonic Sensor

Working principle

Smart Dustbin Learners will develop a smart dustbin that senses if somebody stands in front and opens autonomously.

What is a Smart Dustbin

Components Required

Circuit Connection

Code

Height Measuring Device Learners will develop a device that automatically detects the height of a person standing underneath it.

What is a Height measurement device?

Working Principle

Components Required

Circuit Connection

Code

Introduction to Machine Learning Environment Learners will learn the use of Machine Learning to train algorithms.

What is Machine Learning?

What is Teachable Machines

How to create a Machine Learning Model

What is Artificial Intelligence?

Use of Artificial Intelligence

Types of Machine Learning

Key concepts in Machine Learning

What is Deep Learning and its key features?

What is Pattern Recognition?

Real-time examples of Pattern Recognition

Rock, Paper, Scissors Game Learners will use teachable machines to train their computer for playing Rock, Paper, Scissors Game.

Steps to Build the Game

Create the Game in Pictoblox

PictoBlox code using blocks

Hand Pose Classifier Learners will leverage the power of Artificial Intelligence to detect different hand postures.

Create a New Project

Collecting Data and Uploading

Training the model

Exporting and Utilizing the model in PictoBlox

Testing and Refinement

Object Classifier Learners will use ML to train their computers to identify and detect unique objects.

Step 1: Open PictoBlox

Step 2: Load the Object Detection Extension

Step 3: Set up Camera input

Step 4: Use Object Detection Blocks

Step 5: Run the Script

Applications of Object Detection in PictoBlox

A course by

Student Ratings & Reviews

Course Includes:

Share On:

Sign in

Sign up

Introduction to IR Sensor
Learners will learn about IR sensors, their use in everyday appliances and how to calibrate and code them.

Smart Counter
Learners will design a counter that changes according to the input given by two IR Sensors.

Hand Gesture Car
Learners will develop a robot that follows human gestures using IR sensors.

Line Follower Car
Learners will build a smart line follower robotto follow a black or a white line.

Introduction to Ultrasonic Sensor
Learners will learn about ultrasonic sensors and how to measure the distance of an obstacle using them.

Smart Dustbin
Learners will develop a smart dustbin that senses if somebody stands in front and opens autonomously.

Height Measuring Device
Learners will develop a device that automatically detects the height of a person standing underneath it.

Introduction to Machine Learning Environment
Learners will learn the use of Machine Learning to train algorithms.

Rock, Paper, Scissors Game
Learners will use teachable machines to train their computer for playing Rock, Paper, Scissors Game.

Hand Pose Classifier
Learners will leverage the power of Artificial Intelligence to detect different hand postures.

Object Classifier
Learners will use ML to train their computers to identify and detect unique objects.