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Today's bottleneck of vision-controlled, high-speed and precise manipulation is primarily the result of the recognition time needed by the vision system. In general, a vision task consists of two main steps -image data acquisition and image data processing. Due to faster and cheaper processing units, the time needed for data processing continues to decrease; however, it is the fixed TV-frame-based data acquisition time (25 frames/sec=40 ms) that dominates the overall recognition process.
RAMAP has developed a new random-access vision system (sensor/camera system) that enables fast acquisition of only those pixels/regions essential for recognition tasks. Thus the image acquisition time becomes negligible and the overall recognition speed can be significantly increased. In addition, the RAMAP sensor offers a very high image resolution and a pixel structure which is optimized for high-speed, high-accuracy measurements of straight line orthogonal structures (industrial objects). The reduction of recognition cycle times, especially in high-volume production applications, leads to added value for the system suppliers and provides financial benefits to customers through reduced investment.
Project URL : http://www.cs.may.ie/research/computer_vision/ramap/index.html
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