Computer Vision Lab

The objective of the Computer Vision lab is to provide a structured and hands-on learning environment for students to explore, experiment, and advance their understanding of computer vision principles, techniques, and applications. The lab aims to equip students with strong theoretical foundations and practical skills through project-based learning.

The Computer Vision Laboratory has 30 computer systems equipped with cutting-edge hardware including a Gigabyte H610M H V2 DDR4 motherboard, 16 GB DDR4 RAM, and a 12th Gen Intel Core i7-12700 processor. This ensures smooth handling of computationally intensive tasks. A 512 GB high-speed SSD enables quick dataset access, and the NVIDIA GeForce GT 730 GPU supports parallel processing for advanced workloads.

Data Visualisation Lab

This lab bridges theoretical programming concepts with practical data visualization applications, empowering learners to communicate insights effectively through visual representation.

A. Procedural Programming: Efficient data processing, algorithm implementation, and modular programming for clean data manipulation.

B. Object-Oriented Programming: Building visualization tools using classes, objects, inheritance, and polymorphism for flexible and reusable code.

The Data Visualization Lab features 35 systems with Gigabyte H610M H V2 DDR4 motherboards, 16 GB DDR4 RAM, 12th Gen Intel Core i7-12700 processors, and 512 GB SSD storage, enabling fast data access and smooth execution of visualization algorithms. GPU support via NVIDIA hardware enables efficient rendering and parallel tasks.