Welcome To Video Surveillance Lab
Welcome to the Smart Video Surveillance Lab at FAST NUCES Karachi
At the FAST-NUCES Karachi campus, the Video Surveillance Lab (VSL) has secured a substantial grant of Rs 39.3 million in Jul 2017, from the Planning Commission of Pakistan and HEC. This funding is dedicated for the establishment of a cutting-edge Smart Video Surveillance Lab, seamlessly integrated into the National Centre for Big Data & Cloud Computing (NCBC), Pakistan.
The lab’s primary objective is to leverage advanced technology to extract relevant and timely information from a multitude of video streams, addressing the diverse needs of government agencies, hospitals, educational institutes. law enforcement agencies, research institutions, corporate enterprises, media organizations, and non-profit organizations.
Our mission is to contribute to advancements in the domain of video surveillance, nurturing innovation, and excellence. By harnessing the power of Smart IoT Systems and Active Learning, the lab is poised to develop innovative video surveillance-based solutions. We are dedicated to producing pioneering research that revolutionizes the field and providing outstanding research opportunities on an international level.
Visit us for Collaboration
Feel free to visit our Video Surveillance lab at FAST NUCES Karachi for for a face-to-face conversation. We’d be happy to show you around and discuss how we can help you achieve your goals.
📧 atif.tahir@nu.edu.pk 📞 213
📧 muhammad.nouman@nu.edu.pk 📞 133
Areas of Expertise
Our lab focuses on the following domain specializations
Deep Learning
Leveraging deep learning and
AI techniques for tasks such as classification, regression, clustering, anomaly detection, and predictive analytics.
Computer Vision
Advancing computer vision techniques to enhance the understanding and interpretation of visual data captured by surveillance cameras, including image enhancement, feature extraction, and scene understanding.
Smart IoT Systems
Designing and implementing Internet of Things (IoT) devices and systems to enhance video surveillance capabilities, like integrating sensors, cameras, and actuators for real-time monitoring and control.
Video Analytics
Developing algorithms and techniques for analyzing video streams to extract meaningful information, such as object detection, tracking, recognition, and behavior analysis, which are crucial for projects like Person Reidentification, Suspicious Activity Detection, Missing Children Surveillance, and Theft Car Surveillance.
Reinforcement Learning
Investigating reinforcement learning approaches for autonomous decision-making and control in video surveillance systems.
