Security early warning system and method based on intelligent drinking water plant

Abstract

The invention discloses a security early warning system and a method based on an intelligent drinking water plant. The system includes an initial user module, a personnel acquisition module, a home-leaving judgment module, a security module and an early warning module, wherein the initial user module is used to record initial user information; the personnel acquisition module is used to acquire initial user count information indoor in real time; the home-leaving judgment module is used to determine whether a home-leaving security mode is required to start according to the obtained initial usercount information indoor, if so, enabling the security module; if not, enabling the personnel acquisition module; the security module is used to obtain and analyze personnel information; the early warning module is used to generate early warning information and perform early warning in a corresponding early warning manner. The security early warning system of the invention can monitor indoor security in real time. When the user leaves home, the home-leaving security mode is automatically enabled to monitor indoor situation in real time, and send early warning and effectively ensure property and personal security of a user in time.

Description

technical field [0001] The invention relates to the field of intelligent security technology, in particular to a security early warning system and method based on intelligent drinking water equipment. Background technique [0002] Security work such as anti-theft has always been a problem that people always pay attention to and raise their vigilance. Many smart home devices also have certain security functions. Generally, infrared probes are used to record. Although all images can be recorded, the specific behaviors of the perpetrators appearing in the images cannot be identified. Once a security incident occurs, it can only be done manually. Tracing clues in video data will cause a huge workload; moreover, since it can only be realized to track the perpetrator after a security incident occurs, it cannot detect suspicious situations early while taking pictures with infrared probes, and cannot provide early warnings in time, making it difficult to fundamentally To solve the ...

AI Technical Summary

Problems solved by technology

Many smart home devices also have certain security functions. Generally, infrared probes are used to record. Although all images can be recorded, the specific behaviors of the perpetrators appearing in the images cannot be identified. Once a security incident occurs, it can only be done manually. Tracing clues in video data will cause a huge workload; moreover, since it can only be realized to track the perpetrator after a security incident occurs, it cannot detect suspicious situations early while taking pictures with infrared probes, and cannot provide early warnings in time, making it difficult to fundamentally Solve the protection problems of residents' property loss and personal safety

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