Jaideep Cherukuri

Papers

Total Citations

H-Index

About

Jaideep Cherukuri is a researcher whose work lies at the intersection of embedded systems, computer vision, and smart surveillance technologies. His most-cited paper, “Implementation of Human Detection on Raspberry Pi for Smart Surveillance” (2020), addresses a pressing societal need: the growing demand for affordable, intelligent home security. By demonstrating how a low-cost Raspberry Pi can be programmed to perform real-time human detection, Cherukuri offers a practical alternative to passive recording cameras that only provide forensic evidence after an incident. This contribution has garnered 6 citations, reflecting its relevance to both academic researchers and hobbyists in the maker community. His work is notable for bridging the gap between advanced machine learning models and resource-constrained hardware, making smart surveillance accessible to a broader audience. Cherukuri’s research underscores a commitment to developing efficient, deployable solutions that enhance everyday safety, positioning him as a forward-thinking voice in the field of embedded AI and its real-world applications.