Design of an Airport Baggage Soft and Hard Bag Recognition Device

In response to the need to distinguish between soft and hard baggage at airports, a soft and hard baggage recognition device and method based on depth cameras and a classification recognition model is proposed. The device uses a pressure sensing module to apply pressure to the baggage and obtain feedback stress. Simultaneously, dual depth cameras capture RGB images and point cloud images of the concave areas. The information collected from the dual cameras is stitched together using point cloud registration methods. A classification recognition model is used to output the softness or hardness level of the luggage. In addition, a similarity algorithm is used to pre-process the collected data and reduce the computational load of the classification recognition model, the device has also been experimentally verified to have high detection accuracy.