3results about How to "Accurate Anomaly Detection" patented technology

The application discloses a kind of warehouse safety monitoring method and system based on visual detection, it is related to warehouse safety monitoring technical field.A kind of warehouse safety monitoring system based on visual detection, including have: warehouse goods monitoring module and warehouse safety judging module.The application can detect the state of warehouse stacking in real time by stereoscopic modeling analysis and continuous monitoring to warehouse stacking, and improve the sensitivity to small changes through feature enhancement processing, to realize the dynamic monitoring and timely warning to warehouse safety, effectively prevent the loss caused by stacking instability or other safety problems;Feature enhancement processing based on video stream identifies anomaly, can also classify the safety state, provide different risk levels and corresponding safety operation suggestions, ensure that necessary intervention measures are taken in time in warehouse environment.

The specification discloses a method and device for training an anomaly detection model, obtaining real face images as positive samples, obtaining synthetic face images as negative samples, and taking each positive sample and negative sample as a training sample. The sample features of each training sample are extracted through a feature extraction layer, the detection results of each training sample are obtained through a classification layer, and the representative features for representing the commonality of the positive samples are determined based on the sample features of each positive sample. Then, the anomaly detection model is trained according to the differences between the sample features of each positive sample and the representative features, the differences between the sample features of each negative sample and the representative features, and the differences between the detection results of each training sample and the labels thereof. This method can learn an accurate feature extraction method based on the representative features, so as to accurately extract the face features of the face images for accurate anomaly detection in the subsequent process, thereby ensuring the accuracy of the anomaly detection.