Building exit passageway monitoring system and method based on artificial intelligence target recognition

A safety passage and target recognition technology, applied in the field of building safety passage monitoring system for artificial intelligence target recognition, can solve problems such as blockage of fire exits, random parking, and random piles of debris

CN111163294APending Publication Date: 2020-05-15重庆特斯联智慧科技股份有限公司
11 Cites 7 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2020-05-15

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a building exit passageway monitoring system and method based on artificial intelligence target recognition. The system comprises a monitoring camera device, a visual exit passageway management platform, a target recognition module, a configuration module, a judgment module and an alarm module. The monitoring camera device is used for shooting video information of a space area corresponding to the building exit passageway; the target identification module is used for identifying the type and position of a target entering the building exit passageway; the configuration module is used for establishing an electronic fence according to a video shot by the monitoring camera device and a space area corresponding to the building exit passageway; the judgment module is usedfor carrying out compliance judgment according to the electronic fence, the target object type and the target object position; and if the judgment result is non-compliance, an alarm is raised by an alarm module. The problems of disordered sundry stacking, disordered parking, fire fighting access blockage and the like in the building safety access are solved, and the system has the advantages of ensuring smoothness of the building safety access, accurate target object type analysis, high monitoring visual efficiency and the like.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the fields of safe passage management and artificial intelligence, in particular to a building safe passage monitoring system and method for artificial intelligence target recognition. Background technique

[0002] "Electronic fence" is a virtual space area that is artificially planned and set, rather than a real fence. It uses IoT technologies such as positioning and perception to locate and perceive people or objects entering the electronic fence. Controls and responses necessary for specific targets. In recent years, electronic fence technology has developed rapidly and has been applied to many aspects, for example, regulating the flight of drones through electronic fences, regulating the parking area of ​​shared bicycles or shared cars through electronic fences, etc.; specifically described as electronic fences for no-flying , if it senses that a drone enters the space area defined by the electronic fence, it will issue a ...

Examples

Embodiment 1

[0031] refer to figure 1 A building safety channel monitoring system for artificial intelligence target recognition, comprising a communication-connected monitoring camera device and a visualized safe channel management platform, wherein the visualized safe channel management platform includes a target identification module, a configuration module, a judgment module and an alarm module; The monitoring camera equipment is used to shoot the video information of the space area corresponding to the building safety passage, and the shooting area is larger than the corresponding space area of ​​the building safety passage; the target identification module is used to identify the type and position of the target entering the building safety passage; The configuration module is used to establish an electronic fence according to the video taken by the monitoring camera equipment and the corresponding space area of ​​the building safety channel; the judgment module is used to judge compli...