An Express Transportation Monitoring System Based on S-CNN

Rough Handling of Express Parcels (RHEP) means that express parcels are not handled as required, which is one of the increasingly prominent problems in the express industry. It not only brings bad effects to the industry but also causes serious social problems such as resource waste and environmental pollution. Based on S-CNN, for three typical types of RHEP (dropping, throwing, and kicking), an express transportation monitoring system is proposed in this paper. The system is mainly composed of terminals, servers, and client. The system can collect acceleration data of parcels, process data, extract features and recognize RHEP of express transportation. Simulation experiment of RHEP in the laboratory, the recognition accuracy of S-CNN is up to 95.3%. Compared with SVM, BP, and S-CNN, more than 99% of samples of express transportation have a predicted probability of RHEP more than 0.95, which verifies the effectiveness of the intelligent recognition method in express transportation.