Bushra Zafar
Papers
1
Total Citations
39
H-Index
1
About
Dr. Bushra Zafar is a computer vision researcher whose work focuses on advancing face detection and recognition technologies for real-world applications. Her most-cited paper, "Face Detection & Recognition from Images & Videos Based on CNN & Raspberry Pi" (2022, 39 citations), demonstrates her commitment to bridging deep learning with embedded systems. This work explores the use of convolutional neural networks (CNNs) on resource-constrained platforms like the Raspberry Pi, addressing the critical challenge of deploying accurate and reliable computer vision algorithms in robotics and multimedia environments. By tackling the exponential growth of image and video content, Dr. Zafar contributes to enhancing system accuracy and robustness, key requirements for autonomous systems. Her research sits at the intersection of deep learning, embedded vision, and practical deployment, making her contributions particularly valuable for students and engineers working on real-time, low-power computer vision applications. Her work underscores the importance of making sophisticated AI accessible for tangible, hardware-limited scenarios.
Research Focus
Key Achievements
Top Papers
- 1