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Artificial Intelligence for Security in the form of rule-based video analytics involves software with algorithms that discern targeted types of subjects such as people, vehicles and other objects, utilizing computer-vision, and the programming of regions of interest, times of day, and rules of behavior. The data supplied for analysis comes from video surveillance cameras. In non-rule based behavioral analytics the software is fully self-learning with no initial programming input by the user. In this type of analytics the artificial intelligence ('A.I.') learns what is normal behavior for people, vehicles, machines, and the environment based on its own observation of patterns of various characteristics such as size, speed, reflectivity, color, grouping, vertical or horizontal orientation and so forth. The A.I. normalizes the visual data collected and sends alerts when it observes anomalies. == History == 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Artificial Intelligence for Security」の詳細全文を読む スポンサード リンク
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