In this article. we propose the detection of crowd anomalies through the extraction of information in the form of time series in video format using a multimodal approach. Through pattern recognition algorithms and segmentation. informative measures of the number of people and image occupancy are extracted at regular intervals. https://www.nacrack.com/best-buy-Fleshlight-Universal-Launch-Auto-Stroker-amazing-offer/