Paper
25 January 2010 A CMOS vision system on-chip with multicore sensory processing architecture for image analysis above 1,000F/s
Angel Rodríguez-Vázquez, Rafael Domínguez-Castro, Francisco Jiménez-Garrido, Sergio Morillas
Author Affiliations +
Proceedings Volume 7536, Sensors, Cameras, and Systems for Industrial/Scientific Applications XI; 75360O (2010) https://doi.org/10.1117/12.839183
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
This paper describes a Vision-System-on-Chip (VSoC) capable of doing: image acquisition, image processing through on-chip embedded structures, and generation of pertinent reaction commands at thousand's frame-per-second rate. The chip employs a distributed processing architecture with a pre-processing stage consisting of an array of programmable sensory-processing cells, and a post-processing stage consisting of a digital microprocessor. The pre-processing stage operates as a retina-like sensor front-end. It performs parallel processing of the images captured by the sensors which are embedded together with the processors. This early processing serves to extract image features relevant to the intended tasks. The front-end incorporates also smart read-out structures which are conceived to transmit only these relevant features, thus precluding full gray-scale frames to be coded and transmitted. The chip is capable to close action-reaction loops based on the analysis of visual flow at rates above 1,000F/s with power budget below 1W peak. Also, the incorporation of processors close to the sensors enables signal-dependent, local adaptation of the sensor gains and hence highdynamic range signal acquisition.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Angel Rodríguez-Vázquez, Rafael Domínguez-Castro, Francisco Jiménez-Garrido, and Sergio Morillas "A CMOS vision system on-chip with multicore sensory processing architecture for image analysis above 1,000F/s", Proc. SPIE 7536, Sensors, Cameras, and Systems for Industrial/Scientific Applications XI, 75360O (25 January 2010); https://doi.org/10.1117/12.839183
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Image processing

Signal processing

Digital signal processing

Analog electronics

Imaging systems

Binary data

Back to Top