Video intelligent analysis custom event rule processing method

Abstract

The invention relates to a video intelligent analysis custom event rule processing method. The method comprises the following steps: selecting one or more input conditions of an event rule needing tobe set; setting an input condition based on the selected input condition; based on the setting of the input condition, setting related to the event, and generating a corresponding event rule; and performing related event detection based on the generated event rule, and performing related alarm and equipment linkage when an event occurs. Based on the video intelligent analysis custom event rule processing method provided by the invention, the custom event rule can be set based on the combination of various conditions such as the area, the warning line, the time, the recognition result and the equipment state, so that the requirements of various application scenes can be met under the condition of not developing the specific event rule, and the user experience is improved, the project development workload is greatly reduced, and the project development period is shortened.

Description

technical field [0001] The invention relates to the field of machine vision applications, in particular to a video intelligent analysis custom event rule processing method. Background technique [0002] With the popularity of artificial intelligence, machine vision has been applied to various industries, but each industry has its own characteristics, and the requirements for event rules are also very different. The traditional general event rule settings (including traffic statistics, density detection, tripwire Detection, intrusion detection, retrograde detection, loitering detection, leftover detection, object removal detection), can no longer meet the requirements of various industries, so it is necessary to customize and develop specific event rules for specific application scenarios in various industries, resulting in The development cost is high, and the project development lead time is too long. Contents of the invention [0003] In view of the deficiencies in the ...

AI Technical Summary

Problems solved by technology

[0002] With the popularity of artificial intelligence, machine vision has been applied to various industries, but each industry has its own characteristics, and the requirements for event rules are also very different. The traditional general event rule settings (including traffic statistics, density detection, tripwire Detection, intrusion detection, retrograde detection, loitering detection, leftover detection, object removal detection), can no longer meet the requirements of various industries, so it is necessary to customize and develop specific event rules for specific application scenarios in various industries, resulting in The development cost is high, and the project development lead time is too long

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