El-Awady Attia
Papers
1
Total Citations
39
H-Index
1
About
Dr. El-Awady Attia is a prominent researcher in computer vision and embedded artificial intelligence, with a focus on real-time image and video analysis. His most-cited work, "Face Detection & Recognition from Images & Videos Based on CNN & Raspberry Pi" (2022, 39 citations), demonstrates a pioneering approach to deploying deep learning on low-cost, resource-constrained hardware. By integrating convolutional neural networks with the Raspberry Pi platform, Attia has advanced the practical application of face recognition systems, addressing the critical need for accuracy and reliability in robotics and multimedia analysis. This work bridges the gap between high-performance AI models and accessible, real-world deployment, making significant contributions to edge computing and autonomous systems. His research is particularly impactful for students and engineers seeking to implement efficient computer vision solutions in embedded environments. Attia’s achievements highlight his ability to translate complex deep learning techniques into tangible, scalable technologies, positioning him as a key figure in the evolution of intelligent, hardware-aware vision systems.
Research Focus
Key Achievements
Top Papers
- 1