Testing Analogue Watch’s Functionality Using Machine Vision

Sammanfattning

This thesis project introduces machine vision to automate the testing and verification of watch hands and its digital display functionalities. Conventionally, the verification process in this watch manufacturer involved manual inspection by operators, a method that is time consuming and involves many manual phases to get done. This project introduces a level ofautomation to increase testing efficiency by introducing one standalone environment and testing capacity by increasing production capability and speed. This project included a development of a prototype testing environment built from 3D printed components, controlled by a RaspberryPi 4 model B processor, and utilizing its default camera module for achieving the machine vision part necessary for automation. The project's aim is: first, to verify the testing of watch hands' functionality, and second, to ensure the OLED display operates as intended, utilizing image processing techniques via machinevision