Parcel stacking detection method and device based on neural network

The invention relates to a parcel stacking detection method and device based on a neural network. The method comprises the following steps of 101, obtaining a parcel detection neural network model through training, a parcel detection neural network is based on a YOLOV3 target detection model, a framework based on MobileNetV2 is adopted for a backbone network, and a two-layer YOLO layer is used for a detection head part to output a detection frame; 102, acquiring a belt image during parcel conveying through a top scanning camera; 103, extracting parcel information in the belt image through the parcel detection neural network model, wherein the parcel information extracted by the parcel detection neural network model comprises the position of the parcel and the relationship between the parcels; and 104, judging a package stacking state according to the extracted package information. According to the parcel stacking detection method, package stacking detection can be effectively achieved, and the accuracy of aut