Abstract
The product quality is provided by the product control companies during the period from the initial phase. Of manufacturing to packaging in many companies. In this study, it is aimed to carry out product control with an image processing based algorithm to prevent model mixes that are loaded on pallets to be packed and cargoed while being controlled by the operators according to the rim models. In the method, a camera located at a height of 5 meters from the ground is used, and the features of the rims in the ground are extracted trained by using artificial neural networks. Attempted to prevent mixing in the backplane.
Keywords
Pallet
Artificial neural network
Product (mathematics)
Computer science
Reduction (mathematics)
Image processing
Image (mathematics)
Carry (investment)
Artificial intelligence
Automotive engineering
Computer vision
Engineering
Mathematics
Mechanical engineering
Business
Subject Areas
Vehicle License Plate Recognition
·Media Technology ·Physical Sciences
Image and Object Detection Techniques
·Computer Vision and Pattern Recognition ·Physical Sciences
Computer Science and Engineering
·Artificial Intelligence ·Physical Sciences
Loading…