Amad Naseem
Papers
1
Total Citations
39
H-Index
1
About
Amad Naseem is a rising researcher in computer vision and embedded AI, with a focused interest in real-time face detection and recognition systems. His most-cited work, "Face Detection & Recognition from Images & Videos Based on CNN & Raspberry Pi" (2022, 39 citations), addresses the critical challenge of deploying deep learning on resource-constrained devices. By integrating convolutional neural networks with low-cost hardware, Naseem demonstrated a practical, scalable solution for accurate and reliable biometric identification—a key requirement for autonomous robotics and surveillance. This contribution bridges the gap between high-performance algorithms and real-world deployment, making AI accessible for edge computing. His research tackles the exponential growth of multimedia content by enhancing system accuracy and reliability, directly supporting applications in security, human-robot interaction, and smart environments. With 39 citations already, this work signals growing recognition in the computer vision community. Naseem’s approach exemplifies how compact, efficient models can democratize advanced recognition capabilities, paving the way for more responsive and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1