가속도 측정장치를 이용한 딥러닝 기반 택배 충격량 분석

초록

Along with the increase in demand for courier delivery services, Quality of courier services has also increase. It is important for quality of service that the parcel is not damaged. In order to quantitatively measure the damage of parcel, we need to know the behavior of the parcel while delivered. In this study, A deep learning model was developed to classify the types of impact received by parcel and calculate the size of the amount of impact. Also, parcel with gyro sensor was shipped in actual delivery to measure the damage of parcel.