Kandregula Jai Surya
Papers
1
Total Citations
6
H-Index
1
About
Kandregula Jai Surya is a researcher at the forefront of assistive technology and autonomous systems, with a primary focus on computer vision and deep learning applications for real-world challenges. His most cited work, "Autonomous Obstacle and Object Detection for Visually Impaired With Audio Aid" (2023, 6 citations), exemplifies his commitment to leveraging machine learning and deep learning techniques to address pressing societal needs. This paper introduces a novel system that integrates object recognition with audio feedback, enabling visually impaired individuals to navigate their environments more safely and independently—a contribution that bridges the gap between cutting-edge AI and human-centered design. Beyond this flagship study, Surya’s research explores the broader potential of object detection in autonomous vehicles, robotics, and security tracking, demonstrating the versatility of his methods. His work stands out for its practical impact, offering scalable solutions that enhance accessibility and autonomy. As a rising voice in the field, Surya continues to push boundaries, inspiring students and researchers to harness AI for inclusive innovation.
Research Focus
Key Achievements
Top Papers
- 1