Real-time anomaly detection system for detecting e.g. crimes, in humans, has data acquisition and data preprocessing module that acquires video recordings of individuals performing various activities, both normal and abnormal
	NEDUNCHELIYAN S; ABHINAY A; SAICHETHAN B; RAO B T; RAKESH A; AZHAGUSUNDARAM R
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069455-A
成果简介	NOVELTY - The system spots unusual events e.g. crimes, where frequency of unusual incidents is lower than that of routine activity. Smart computer vision algorithms allow automatic video anomaly identification. The system locates any activity that deviates from customary patterns of behavior, where than anomaly is categorized into one of the specialized tasks using classification algorithms, when anomaly is discovered. The anomaly is categorized into the specialized task using classification algorithm. A data acquisition and data preprocessing module acquires video recordings of individuals performing various activities e.g. normal activities. USE - Real-time anomaly detection system for detection of abnormal e.g. anomalous movements or behaviors such as crimes, unlawful behavior, and traffic accidents, in humans using networks e.g. Convolutional neural network (CNN)(Deep learning network), and long short-term memory (LSTM) networks, in hospitals, banks, and shopping malls. ADVANTAGE - The system is reliable and efficient, and continually evaluate and update. The system improves public safety.
IPC 分类号	G06Q-050/26 ; G08B-013/00 ; G08B-013/196 ; H04N-007/18 ; H04W-004/90
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19689
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	NEDUNCHELIYAN S,ABHINAY A,SAICHETHAN B,et al. Real-time anomaly detection system for detecting e.g. crimes, in humans, has data acquisition and data preprocessing module that acquires video recordings of individuals performing various activities, both normal and abnormal. IN202341069455-A[P]. 2023.

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