Papers
1
Total Citations
9
H-Index
1
About
Amit Chougle is an emerging researcher at the intersection of computer vision, the Internet of Things (IoT), and structural health monitoring (SHM). His work addresses a critical challenge in civil infrastructure: the costly and inefficient reliance on manual inspection and expensive sensors for detecting damage in roads, bridges, and monuments. Chougle’s most cited paper, “Computer Vision and IoT-Enabled Robotic Platform for Automated Crack Detection in Road and Bridges” (2023), which has garnered 9 citations, proposes a novel, automated robotic platform that integrates computer vision algorithms with IoT connectivity. This system aims to dramatically improve the accuracy and efficiency of crack detection, offering a scalable, cost-effective alternative to traditional methods. By pioneering this fusion of robotics and smart sensing, Chougle is laying the groundwork for more resilient and proactively maintained infrastructure. His work is particularly notable for its potential to transform routine safety inspections, reducing human error and enabling continuous, real-time monitoring of critical structures. As a forward-thinking engineer, Chougle is helping to define the future of automated civil infrastructure management.
Research Focus
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Top Papers
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