Recognition & Detection
Intelligence Lab
est. 2026
Pioneering computer vision, machine learning, and pattern recognition at UKRIDA, bridging rigorous theory with real-world impact.
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Publications
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Datasets
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Research Topics
Research focus areas
Our work spans three core domains of intelligent systems, each contributing to a broader vision of applied Artificial Intelligence.
Computer Vision
Building systems that interpret and understand visual data from the real world. From object detection and scene segmentation to 3D reconstruction and real-time recognition pipelines deployed on constrained hardware.
Pattern Recognition
Intelligent algorithms that identify, classify, and extract meaning from complex, high-dimensional data across modalities.
Edge Computing
Deploying ML models directly onto edge devices for real-time, low-latency processing, bringing intelligence to the source.
A global centre of excellence in automated intelligence
To be a leading centre of excellence in artificial intelligence, shaping the future of automated detection systems and intelligent recognition technologies. Making an impact that extends beyond campus.
Drive innovation, build capability, publish impact
To advance pattern recognition and detection algorithms, foster cross-disciplinary collaborations, and equip the next generation of engineers with cutting-edge AI expertise to solve real-world problems.
News & updates
Research breakthroughs, newly published datasets, papers, and events from the UKRIDA intelligent systems community.
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Partners & collaborators
This work is made possible through strong collaborations with academic institutions and industry partners.
