We at ITU are studying satellite and aerial imagery to develop tools that will assist Government and Non-Government organization in analyzing urban population, road structure, urban and rural structural development, agricultural regions, animal migrations and destruction caused by natural disasters. Primarily we have studied satellite and aerial images in order to detect residential areas using computer vision and machine learning techniques.
Government of Punjab has been revamping vaccination program to increase its geographical coverage and to better manage vaccination staff spread across whole Punjab. To analyze the coverage of the vaccination activities especially in the areas far away from the urban centres of the Punjab, we need information about locations and size of communities in those regions. Since this information is not readily available, we have employed deep learning to detect house-like-structures on the freely available low resolution satellite imagery (visible spectrum) of the Cholistan Desert.
The Robot-Receptionist project is an idea initiated in Information Technology University as an effort to create a user-friendly intelligent Robot which will help people by giving required assistance. This robot uses Computer Vision and Artificial Intelligence to detect different hand gestures, recognize faces and facial expressions, along with creating his own daily life stories and events for people of different mind sets. You can easily use this Robot to get information of ITU Employees and also play interactive games if you are feeling bored. The main objective of this project is to build a robot that can not only assist people as a receptionist but can also listen to them, understand them and respond to them accordingly. This distinct feature will be used to mentally ease the user and reduce the everyday stress of general public.
With the recent advancement of social media networks, a large fraction of world population is now able to socially interact with each other. Previously people used to write long paragraphs to convey their thoughts but now-a-days they prefer to use multimedia content like images, gifs and videos as they are more emotionally powerful and can catch more user attention. Therefore, millions of images and videos are being uploaded daily on social media sites from different events and gatherings taking place around the globe. This emotionally rich database of multimedia content creates a demand for tools that can automatically analyze it based on emotions in order to understand people react to it.