6533b7dcfe1ef96bd1271eba

RESEARCH PRODUCT

Smart camera based on an Embedded HW/SW Co-Processor

Julien DuboisDavid MauviletMarco MattavelliRomuald Mosqueron

subject

CoprocessorGeneral Computer ScienceComputer sciencelcsh:TK7800-836002 engineering and technology0202 electrical engineering electronic engineering information engineeringSmart camera[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsField-programmable gate arrayComputingMilieux_MISCELLANEOUSFPGACMOS sensorSmart Camerabusiness.industry020208 electrical & electronic engineeringlcsh:ElectronicsACMControl reconfiguration020206 networking & telecommunicationsModular designco-processorCMOSControl and Systems EngineeringEmbedded systemPattern recognition (psychology)embedded processing[INFO.INFO-ES]Computer Science [cs]/Embedded Systemsbusinesspostal sortingComputer hardwareComputer Science(all)

description

Abstract This paper describes an image acquisition and a processing system based on a new coprocessor architecture designed for CMOS sensor imaging. The system exploits the full potential CMOS selective access imaging technology because the coprocessor unit is integrated into the image acquisition loop. The acquisition and coprocessing architecture are compatible with the majority of CMOS sensors. It enables the dynamic selection of a wide variety of acquisition modes as well as the reconfiguration and implementation of high-performance image preprocessing algorithms (calibration, filtering, denoising, binarization, pattern recognition). Furthermore, the processing and data transfer, from the CMOS sensor to the processor, can be operated simultaneously to increase achievable performances. The coprocessor architecture has been designed so as to obtain a unit that can be configured on the fly, in terms of type and number of chained processing stages (up to 8 successive predefined preprocessing stages), during the image acquisition process that can be defined by the user according to each specific application requirement. Examples of acquisition and processing performances are reported and compared to classical image acquisition systems based on standard modular PC platforms. The experimental results show a considerable increase of the achievable performances.

10.1155/2008/597872https://hal.archives-ouvertes.fr/hal-00657232