Perception & Robotics Lab
Vision that works on a dusty road at four in the afternoon.
- Crop-disease detection
- Infrastructure inspection
- Edge inference
- Data collection at scale
Lab lead
Dr. Zara Siddiqui
Assistant Professor · Head of the Perception & Robotics Lab
We build vision systems for conditions that benchmarks ignore: harsh light, low-cost cameras, intermittent connectivity and no possibility of a human in the loop. Field partners include cotton and wheat cooperatives in Punjab and a provincial roads authority.
The lab maintains one of the region’s largest labelled agricultural image sets and publishes the tooling used to collect and audit it.
Publications
- 2025Paper
Automated Crack Segmentation for Bridge Inspection from Consumer Drones
Zara Siddiqui, Ahmed Shah, Mariam Aziz · Automation in Construction
- 2025Paper
Field-Robust Cotton Leaf Disease Detection on Sub-$50 Hardware
Zara Siddiqui, Imran Khalid, Noor Fatima Baig · CVPR 2025 Workshop on Computer Vision for Agriculture