A system is developed to inspecting the conveying attitudes of columnar objects.

The maximum between-class variance method is improved for object segmentation.

The features of columnar objects are determined by four feature extraction methods.

A hybrid classifier is developed for the attitude diagnosis.

A realistic packing process for industrial explosives is solved.