MR4212 Machine Vision and Intelligence Laboratory Syllabus:

MR4212 Machine Vision and Intelligence Laboratory Syllabus – Anna University PG Syllabus Regulation 2021

COURSE OBJECTIVES:

1. To gather the practical exposure on machine vision elements, lighting technique, processing software and algorithms.
2. To learn and practice various image processing techniques.
3. To learn various application of machine vision and programming

LIST OF EXPERIMENTS

1. Study on different kinds of vision sensors.
2. Study on lighting techniques for machine vision
3. Study on Design of Machine Vision System.
4. Experimentation on image acquisition towards the computation platform.
5. Pre-processing techniques in image processing
6. Edge detection and region of interest extraction.
7. Experimentation with image processing algorithm for feature extraction.
8. Experimentation with pattern recognition.
9. Vision based pallet inspection.
10. Vision based Gear parameter measurement.
11. Vision based classification of objects.
12. Implement the SIFT blob detector and tracker
13. Object recognition by SIFT, SURF

TOTAL: 60 PERIODS

LIST OF EQUIPMENT FOR A BATCH OF 18 STUDENTS

1. CMOS Camera (USB/Ethernet)- 1 No
2. CCD Camera (USB/Ethernet)- 1 No
3. Standard Boom Stand (Bench top setup) – 2 No’s
4. Extension Tube (5mm to 50mm) – 2 No’s
5. Lenses (between 3mm to 50mm focal length)- 2 No’s
6. Tele-centric lens – 1 No
7. Lighting (Coaxial, ring lighting, Diffused, backlighting) – 1 No Each.
8. Machine vision software – 2 No’s
9. PC-2 No’s

COURSE OUTCOMES:

Upon the completion of this course, the students will be able to;
CO1. To select a vision sensor for any kind of application.
CO2. To understand and implement various image processing techniques.
CO3. To understand and implement industrial applications.