Artificial Intelligence and Computer Vision



About the workshop

IETE-SF conducted a workshop on Artificial Intelligence and Computer vision. It was a 35-hour long workshop, conducted over a span of six days:  21st, 26th, 27th, 28th of January and 3rd and 4th of February. The workshop was conducted by Alumni Roma Jain and Sameer Kadam with over 50 participants in attendance. Roma Jain is currently working with Jio and Sameer Kadam is working with Hotstar.


Day 1(21st January)

The first day of the workshop was dedicated to the introduction of Computer vision and Artificial Intelligence. Students were given a demonstration on applications involving Object Recognition, Face detection, Emotion Recognition, Text Extraction and more.


Day 2 (26th January)

Programming using Python language was covered on the second day. The students were first taught the basic syntax of the language, with simple programs that they could execute and learn. By the end of the day, students were able to execute more complex programs such as performing mathematical operations on matrices. Haar Cascade Algorithm was also introduced.


Day 3 (27th January)

On the third day, students were taught about filters and image processing. Digital image processing is the use of computer algorithms to perform image processing on digital images.


Day 4 (28th January)

On the fourth day, face detection and eye detection were taught. Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Testing was done on saved pictures as well as on webcam display.


Day 5 (3rd February)

The fifth day of the workshop was on facial recognition. A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. Students modelled their own faces to ‘teach’ their computers to identify their features and distinguish between features of one person from another.


Day 6 (4th February)

On the final day, emotion recognition was taught

Students were taught how to apply the concepts of computer vision and machine learning to identify human emotions based on facial expression.


The workshop ended with a general discussion on the Artificial Intelligence domain and the correlation between the concepts of Computer vision and deep learning.

On the last day of the workshop, every participant was awarded a participation certificate. The session was highly interactive, with a lot of practical learning, which made it all the more interesting and fun.


Picture Gallery