The RIOTU Lab Secures Second SAIP Patent for Breakthrough in AI Edge Computing

The Robotics and Internet of Things Lab (RIOTU Lab) at Prince Sultan University has been awarded a new patent by the Saudi Authority for Intellectual Property (SAIP), marking the lab's second patent. This time, the new intellectual property features a technological breakthrough in computer vision and edge computing.

The newly granted patent, titled Multi-Stage Real-Time Face Recognition and Tracking System on Edge Devices (Patent No. SA 22149), introduces a cloud-based surveillance system that processes data directly on edge devices using TensorRT-optimized deep learning models to deliver ultra-fast, real-time performance while minimizing dependence on centralized servers.

The patented architecture includes a unique “Weighted Voting” mechanism, which significantly enhances recognition accuracy by analyzing temporal redundancy across multiple video frames. This approach enables more stable and reliable face recognition in dynamic, real-world environments.

Nicknamed AI EdgeVision, the system is designed to support a wide range of mission-critical applications, including smart city infrastructure, automated attendance systems, and advanced security solutions, closely aligning with the Kingdom of Saudi Arabia’s digital transformation and Vision 2030 objectives.

Developed by Prof. Adel Ammar and Prof. Anis Koubaa, the patented technology offers several notable advantages:
- Real-time processing with up to 65% reduction in response time.
- Enhanced data privacy through encrypted communication and on-device computation.
- Seamless integration with map-based visualizations for real-time, multi-camera tracking.