Deep learning industrial vision for glass bottles

Deep capture, machine vision software in deep learning allows the detection of glass gobs position (X, Y) on a conveyor dynamically.

The difficulty of detection lies in the reflection of the product making the gobs shapes variable as a function of their advance on the conveyor. In addition, the low opacity of the glass on the metal scale conveyor does not make it possible to sufficiently contrast the product on its support.