Sohail Akthar

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About

Sohail Akhtar is a researcher whose work sits at the intersection of computer vision, robotics, and industrial automation, with a particular focus on advanced surface inspection. His most notable contribution is the development of a deflectometry-based system for detecting defects on semi-specular surfaces, such as car bumpers. This system, detailed in his highly cited 2018 paper, integrates a robotic arm with a hybrid, multi-threaded pipeline to efficiently identify flaws on large, complex topologies. This innovation directly addresses a critical challenge in automotive manufacturing, where traditional inspection methods struggle with curved, reflective parts. With 13 citations, this work has already proven influential in the field of non-destructive testing. Akhtar’s research demonstrates a clear commitment to bridging the gap between theoretical algorithms and practical, real-world applications, making him a key figure in the push toward smarter, more automated quality control in industry.