This paper focuses on the recognition system of bolt and nut in real time for application in various industries, particularly the automotive industry. The objective of this study is to develop the image processing algorithm using stationary wavelet transform to get the normalized cropping images which would be suitable inputs processing and detection. Testing is done using a real-time visual recognition system. The MATLAB software version 7.6 is used to integrate all algorithms. The implementation also consists of a prototype that emulates the sorting of nuts and bolts. Consisting of a control system this hardware provides data through the microcontroller based system to the MATLAB code which then activates the camera for image processing. It also activates the motor differently to sort the different parts. The result shows that the system can detect moving object accurately on the belt conveyor and sort them accordingly as required for the application.

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Pattern Recognition Bolt And Nut Stationary Wavelet Transform Conveyor Belt Microcontroller