Smart image sensing system

Vision chips have achieved excellent performance in machine vision applications, but it is insufficient to most industrial applications due to low resolution image sensors and poor image quality. To solve the problems, a smart image sensing system which integrates image sensor and vision chip architecture image processor is proposed. The CMOS image sensor consists of an 800×600 pixel array and two column-parallel ADCs. It is capable of capturing images at 1000 fps. The image processor contains a 64 × 64 processing elements array, 64 row processors, and dual-core RISC. It can exploit data-level parallelism, therefore massively accelerate both low- and middle-level image processing. The proposed image sensing system is successfully applied to various applications like edge detection, motion detection, target tracking at a processing rate of 1000 fps.