Paper
18 January 1993 Real-time image processing system for automated visual inspection applications
Fernando D. Carvalho, Cassiano Paixao Pais, Jose Cabrita A. Freitas, Fernando Carvalho Rodrigues
Author Affiliations +
Proceedings Volume 1713, International Conference on Manufacturing Automation; (1993) https://doi.org/10.1117/12.138494
Event: International Conference on Manufacturing Automation, 1992, Hong Kong, Hong Kong
Abstract
In many potential machine vision applications, the biggest constraint to its industrial use is the cost of the image processing hardware. In fact, there are many visual tasks performed by human operators that could be easily automated. However, it is very difficult to find in the market a vision system with the adequate relation between cost and performance. Most of the image processing systems need too much time to process one image, or have a very high cost. We present an architecture that was developed for surveillance purposes and that we are applying to several applications, namely to the semi-conductor industry and to flexible manufacture. The hardware was conceived in a modular approach with real time performance in each module. Cascading of several modules can produce different image processing functions with an image or data, being generated in every frame of video. The low cost of the hardware together with its very high performance, allow many different industrial applications in particular in the field of industrial automation. The results obtained with the industrial prototypes are presented in two applications and other possible applications are in progress.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fernando D. Carvalho, Cassiano Paixao Pais, Jose Cabrita A. Freitas, and Fernando Carvalho Rodrigues "Real-time image processing system for automated visual inspection applications", Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138494
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