Design and development of IP based automotic bottle inspection system using controllino maxi automation / Abdul Aziz Ahmed Siyad

Image processing is becoming vital part in production industries to define the efficiency and accuracy of the bottles become more important. In order to improve the quality of the line this study proposes Automatic vision inspection machine that contains vision inspection part and conveyor line implemented using Controllino PLC and Omron photo-electric sensors and Mobile camera. Stream of real-time videos is acquired from the camera to Matlab using wireless network, there were methods and algorithms used in the vision inspection to analyse and detect the presence and properties of a bottle then extract meaningful information using Graphical User Interface, Noise or unwanted objects were mostly removed using filtering, segmentation and blob analyses. The experimental results of the system show that its accurate if the camera is positioned in a stable, fixed distance with the bottle, fixed speed of the motor which can impact the results if high speed is adjusted to the motor, the defect detection degree has reached high level with good accuracy in detection