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Personnel state detection method based on machine vision and related device

A technology of machine vision and state detection, which is applied in the direction of instruments, computer components, data processing applications, etc., can solve problems such as falsely touching the timing of leaving work, unrecognizable monitoring technology, and inability of cameras to perform face recognition, etc., so as to achieve universal application performance and interpretability, improving resource utilization efficiency

Pending Publication Date: 2022-05-20
杭州联吉技术有限公司
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, if there are multiple staff members in the monitoring screen, some staff members work normally, some staff members leave their posts secretly or let other people replace them, or when the staff cannot perform face recognition when their backs are turned to the camera and thus touch the off-duty timer by mistake, then Current monitoring technology cannot identify

Method used

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  • Personnel state detection method based on machine vision and related device
  • Personnel state detection method based on machine vision and related device
  • Personnel state detection method based on machine vision and related device

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Embodiment Construction

[0033] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0034] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.

[0035] It should...

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PUM

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Abstract

The invention is suitable for the technical field of monitoring, and provides a personnel state detection method based on machine vision and a related device, and the method combines a deep neural network, a multi-target tracking algorithm, an identity recognition algorithm and foreground region recognition, can carry out the tracking and identity recognition of a plurality of personnel in a monitoring image, and improves the detection precision. Therefore, multi-person off-post / off-post detection in the monitoring video area can be realized.

Description

technical field [0001] The present application belongs to the technical field of monitoring, and in particular relates to a machine vision-based personnel state detection method and related devices. Background technique [0002] With the development of modern technology, the application of surveillance cameras is becoming more and more extensive. Among them, the monitoring of personnel working status can greatly improve the work efficiency of staff and prevent unreasonable leave / sleep. In particular, the use of surveillance cameras is very effective in scenarios such as hotel front desks, factory workstations, and security gates. [0003] In terms of monitoring, traditional manual monitoring not only has high labor costs, but also has poor monitoring effects. Therefore, using machine vision to help determine the status of people in the surveillance screen is a hot direction for researchers in the field of surveillance. [0004] However, if there are multiple staff members ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06V20/40G06V40/10G06V40/16G06V40/20G06K9/62G06V10/764G06V10/25G06V10/82G06T7/20G06N3/04
CPCG06Q10/063114G06T7/20G06N3/045G06F18/2431
Inventor 张云天谢思敏
Owner 杭州联吉技术有限公司
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