A result from Esprit, the European Union's IT research and development programme.
Manual inspection is an inefficient, and often ineffective, method of industrial quality control.
Not only is it resource intensive, but it also allows certain defects to go undetected, and limits the introduction of inspection standards. Integrating neural networks in an automated inspection system can significantly increase the uniformity and reliability of quality control, and enhance the working environment. By utilising neural networks, the system has the ability to learn by example - like a human. The modular nature of both the hardware and software allow cost-optimised sizing of the application system. Parallel processors provide a flexible hardware configuration that can be scaled up or down to suit the required processing power.