Abnormal Activity Recognition in Private Places Using Deep Learning

Using computer and machine vision technology, the process of analysing human motion is known as "human activity recognition," or HAR. Anomaly detection in security systems one situations which recognition useful. As demand for growing, surveillance cameras have been widely installed foundation video analysis. Identifying anomalous behaviour demands strenuous effort, main obstacles It necessary to establish recording order automatically catch activities. deep learning methods, our intelligent system can identify an anomaly a video. Real-time actions also possible, these frames will be afterwards preserved photographs user examine.The suggested Abnormal Activity Recognition was created with goal identifying detecting irregularities through live feed banking sector, more specifically ATM setting.The initial phase study focuses on application image techniques recognise various items spot unusual using monitoring systems.