A recognition system of components from a production line using neuronal networks

We developed and implemented a system for real time automatic recognition of components from a production line using neuronal networks. The capture device (Web camera) is placed over the production line and the system can identify the type of component even if this is not in the correct position or centered. The device sends the information to a recognition system (software) which identifies the type of component and its parts. Once all parts of the component are identified by the system, the operator is informed about the type of component and this is recorded in the fabrication's report. When a manufacturing defect is observed, the system alerts the operator and the component is recorded as inappropriate. This system can be used for real time recognition of the components. In addition, if the component is an electrical board for example, the system can also decide if all components are present in the correct position.