Low-cost monitoring of moving objects with linear line camera sensor

In this thesis, a low-cost imaging system was designed using a linear camera sensor and a microcontroller, and it was used to detect the defects of fabrics produced on knitting machines in real time. For this study, different resolution line camera sensors were investigated and it was decided to use a linear line camera sensor containing 1500 active pixels. In order to control this selected sensor, a development board with a 32-bit microcontroller with 100 MHz operating frequency, Analog/Digital converter, direct memory access and USB hardware modules was selected from the microcontroller options with different characteristics. Since the linear line camera sensor has an analog output, each pixel detected by the sensor is first converted to digital. Since the speed of this conversion process also determines the overall speed of the system, the direct memory access module of the development board was used. This pixel array, which was obtained during each line scanning process and recorded in the memory, was transferred to the personal computer via USB, which is a fast data transfer hardware, and an image was obtained in a program interface running there, and these images were saved to the computer. In the next stage of the study, a cylindrical drum rotated with a direct current motor was designed to simulate knitting machines, and fabric defect detection was carried out with faulty and faultless fabrics wound on this drum. Fabric defect was determined by monitoring statistical parameters.