Poster: Profiling event vision processing on edge devices

• Main Authors: GOKARN, Ila Nitin, MISRA, Archan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Edge AI; Machine Perception; Event Camera; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9228; https://ink.library.smu.edu.sg/context/sis_research/article/10228/viewcontent/Mobisys2024_ProfilingEventVision_PosterPaper_cameraready.pdf
• Institution: Singapore Management University

As RGB camera resolutions and frame-rates improve, their increased energy requirements make it challenging to deploy fast, efficient, and low-power applications on edge devices. Newer classes of sensors, such as the biologically inspired neuromorphic event-based camera, capture only changes in light...