Video monitoring method and device and computer readable storage medium

Abstract

The invention relates to the technical field of artificial intelligence, and discloses a video monitoring method, which comprises the steps of: controlling a video monitoring device to perform video monitoring on a preset application scene; transmitting the monitoring video acquired by the video monitoring device to a monitoring center through a network, selecting one or more candidate monitoringareas from the monitoring video by using a preset method, and continuously tracking and monitoring the candidate monitoring areas through an image matching technology; and performing target identification detection on the monitoring video and/or the candidate monitoring area by utilizing one or more pre-trained classifiers, identifying a violation scene of a preset type, intercepting a video stream with the violation scene from the monitoring video and/or the candidate monitoring area, and storing the video stream at a preset position. The invention further provides a video monitoring deviceand a computer readable storage medium. According to the invention, intelligent supervision can be carried out on kitchen and other application scenes, and the supervision efficiency is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a video monitoring method, device and computer-readable storage medium. Background technique [0002] In recent years, food quality and safety supervision and tracking in the back kitchen has become more and more important to prevent food contamination and food poisoning in the catering industry. How to establish a complete, fast and efficient food quality and safety supervision in the back kitchen has become an urgent problem to be solved. With the gradual implementation of the "bright kitchen and bright stove" project in various provinces and cities, the back kitchen of catering companies has gradually realized sunshine and transparency. However, during the popularization of "Bright Kitchen and Bright Stove", the limitations of its supervision have gradually been exposed, and there are the following defects: First, there are still certain "loopholes" in the applicatio...

AI Technical Summary

Problems solved by technology

However, during the popularization of "Bright Kitchen and Bright Stove", the limitations of its supervision have gradually been exposed, and there are the following defects: First, there are still certain "loopholes" in the application mode, and they can basically only do some "video recordings" The work is only to show the back kitchen to the public, but it is impossible to do intelligent identification and online monitoring of some back kitchen violation scenes; second, the non-transparent food safety related data in the back kitchen is not conducive to information confirmation, search, follow-up, Food quality and safety-related management has caused great inconvenience

Third, the use of video data is not maximized, and supervision resources are wasted. The "Bright Kitchen and Bright Stove" project needs to be upgraded to improve efficiency in order to achieve intelligent supervision and improve supervision efficiency.

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