CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Exploitable results
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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