Crowd safety index calculation method and device based on image recognition technology

Abstract

The invention provides a method for calculating crowd safety index based on image recognition technology, and relates to the field of pedestrian safety. The crowd safety index calculation method based on image recognition technology provided by the present invention obtains video images through a camera pre-set in the monitoring area, and extracts the crowd density index, crowd movement consistency index and crowd movement speed from the video images Index these three parameters, and finally use these three parameters to calculate the crowd safety index. The crowd safety index should objectively reflect the probability of safety problems occurring in the specified sub-area within a predetermined time in the future. After considering the consistency of the crowd movement speed index and the crowd movement, the crowd safety index can be estimated more objectively and accurately, so as to The follow-up determination of the grooming plan provides a good foundation.

Description

technical field [0001] The invention relates to the field of pedestrian safety, in particular to a method and device for calculating crowd safety index based on image recognition technology. Background technique [0002] Whether in the production process or in general life, safety issues have always been the most important issues. For example, in the production process, protective clothing and other equipment will be used to ensure the safety of staff; and in daily life, roadside guardrails and signal lights on roads will be used to ensure the safety of pedestrians . [0003] With the development of electronic information technology, in addition to the above-mentioned way of ensuring personnel safety through the use of protective devices, security methods based on video surveillance technology and mobile terminal positioning technology have also emerged. [0004] There are usually two methods of security assurance based on video surveillance technology. The first method is...

AI Technical Summary

Problems solved by technology

For example, the way of manual viewing of video is greatly affected by human factors, and it is difficult to monitor the video screen in time when people are sleepy; The accuracy of the safety index is low, which is not practical; another example is the mobile terminal positioning technology. The premise of this method is that each user must carry a mobile terminal, and it is difficult to accurately determine the coverage of the base station and wifi. Terminal positioning technology is not ideal

[0007] To sum up, the above methods all determine the crowd safety index based on the number of people within the specified range. This method of determining the crowd safety index is not accurate enough, which will directly affect the accuracy of subsequent determination of the relief plan.

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