Computer Vision and IoT Lab

Paper Code: 
24DBDA512A
Credits: 
03
Periods/week: 
06
Max. Marks: 
100.00
Objective: 

This course will enable students to

1. Perform image processing 

2. Understand the circuit designing through Raspberry pi.

 

Course Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course

Code

Course

Title

 

 

 

 

 

 

 

 

 

 

24DBDA 512 A

 

 

 

 

 

 

 

 

 

Computer Vision and IoT Lab

 (Practical)

CO301. Implement image transformation techniques to prepare images for analysis.

CO302. Perform image segmentation on real life problems.

CO303. Design solution for real life problems using image recognition techniques.

CO304. Design circuit using raspberry pi and sensors.

CO305. Analyse the outcomes of circuits.

CO306. Contribute effectively in

course-specific interaction

Approach in teaching:

 

Interactive Lectures,

Discussion,

Demonstration,

 

Learning activities for the students:

 

Self-learning assignments, Practical questions

ns

Class test, Semester end examinations, Quiz, Practical Assignments, Presentation.

 

Practical based on following topics:

Computer Vision. -

  1. Simulation and Display of an Image, Negative of an Image(Binary & Gray Scale)
  2.  Implementation of Relationships between Pixels
  3.  Implementation of Transformations of an Image
  4.  Contrast stretching of a low contrast image, Histogram, and Histogram Equalization.
  5. Display of bit planes of an Image
  6.  Display of FFT(1-D & 2-D) of an image
  7.  Computation of Mean, Standard Deviation, Correlation coefficient of the given Image
  8. Implementation of Image Smoothening Filters(Mean and Median filtering of an Image)
  9. Implementation of image sharpening filters and Edge Detection using Gradient Filters
  10.  Image Compression by DCT,DPCM, HUFFMAN coding
  11. Image segmentation
  12. Image recognition

IOT.

  1. Working with Raspberry Pi 3 Model - Installing OS and Designing Systems using Raspberry pi - Configuring Raspberry Pi for VNC Connection - Getting introduced to Linux OS Basic Linux commands and uses - Getting Started with Python - Interface sensor and Actuator with Raspberry Pi
  2. Start Raspberry Pi and try various Linix commands in command terminal window. ls, cd, touch, mv, rm, man, mkdir, rmdir, tar, gzip, cat, more, less, ps, sudo, cron, chown, chgrp, ping etc.
  3. Simulate a circuit using sensor (image, gas and temperature) and Raspberry Pi.

 

ESSENTIAL READINGS: 

SUGGESTED TEXT BOOKS

  1. Lakhwani, Kamlesh, Hemant Kumar Gianey, Joseph Kofi Wireko, and Kamal Kant Hiran. Internet of Things (IoT): Principles, paradigms and applications of IoT. Bpb Publications, 2020.
  2. Szeliski, Richard. Computer vision: algorithms and applications. Springer Nature, 2022.

 

REFERENCES: 

SUGGESTED REFERENCE BOOKS

  1. Kaehler, Adrian, and Gary Bradski. Learning OpenCV 3: computer vision in C++ with the OpenCV library. " O'Reilly Media, Inc.", 2016.
  2. Misra, Sudip, Chandana Roy, and Anandarup Mukherjee. Introduction to industrial internet of things and industry 4.0. CRC Press, 2021

 

 e RESOURCES

  1.  NPTEL: Deep Learning for Computer Vision, IIT Hyderabad : https://nptel.ac.in/courses/106106224
  2. Image processing by Saikiran Panjala, Slideshare: https://www.slideshare.net/MadhushreeGhosh3/image-processing-76619758

 

JOURNALS.

  1. Journal of Real-Time Image Processing (JRTIP) springer: https://www.springer.com/journal/11554
  2. IEEE Transactions on Image Processing: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=83

 

Academic Year: 
2024-25
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