A company producing bottled products had a task to provide the quality control of its products, to achieve that, it was necessary to monitor the level of liquid in the bottle and the position of the pasted label. If the level of liquid and the position of the label do not correspond to the admissible values, the product is of poor quality.
As a result, highly accurately determining the level of liquid in the bottle and the place where the label was pasted became possible, the data obtained were compared with regular results.
Comparison of the obtained values with the admissible ones allows detecting products of poor quality.
Computer vision // Image processing
OpenCV // NumPy