Workshop personnel information acquisition and identification method based on adaptive identification network

A technology for identifying network and personnel information, applied in biometric identification, character and pattern recognition, image analysis, etc., can solve problems that threaten the safety of production personnel in the workshop

Pending Publication Date: 2021-03-16
NANJING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the particularity of the production line of military products, there are often strict requirements on the number and density distribution of personnel in different areas, different operation links, a

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  • Workshop personnel information acquisition and identification method based on adaptive identification network
  • Workshop personnel information acquisition and identification method based on adaptive identification network
  • Workshop personnel information acquisition and identification method based on adaptive identification network

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Embodiment Construction

[0077] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0078] A method for collecting and identifying workshop personnel information based on an adaptive identification network of the present invention comprises the following steps:

[0079] Step 1, build a multi-source visual sensor network with all-round coverage in the global scope of the workshop, including the following steps:

[0080] Step 1.1: Investigate the cameras of various brands, and select the appropriate camera model according to the optical parameters such as focal length and viewing angle, the actual area of ​​the workshop, and the production environment;

[0081] Step 1.2: Investigate the workshop site, design the deployment plan of the visual sensor network, try to ensure that the cameras on the same side are arranged at equal intervals, and the cameras on the opposite sides are aligned. The overlapping coverage area of ​​the cameras is as smal...

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Abstract

The invention discloses a workshop personnel information acquisition and identification method based on an adaptive identification network. The method comprises the following steps: (1) establishing an omnibearing coverage multi-source visual sensor network in a workshop global range; (2) performing distortion correction on the camera, obtaining a video stream, and collecting a single-frame imagesynchronously in real time; (3) expanding the data volume through data enhancement; (4) constructing a self-adaptive identification network, and identifying and detecting workshop personnel; and (5) constructing a human-in-the-loop module, and improving the adaptability of the adaptive identification network to the workshop change. According to the method, the recognition effect of the network onworkshop personnel can be effectively enhanced, and workshop changes can be automatically adapted.

Description

technical field [0001] The invention belongs to the field of production management and control, and in particular relates to a method for collecting and identifying workshop personnel information based on an adaptive identification network. Background technique [0002] At present, most detection networks are still in the laboratory stage, and many practical challenges will be encountered in the actual application process, such as personnel occlusion, lighting changes, personnel clothing changes, workshop product changes, etc. The existing detection weights are gradually unable to To adapt to the changes in the workshop, the detection effect gradually declined. Since the personnel in the workshop have the characteristics of subjective initiative and movement uncertainty, the supervision of the workshop personnel has always been the most difficult part of the production activities in the workshop, especially for military product lines. Due to the particularity of the product...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/36G06T7/80
CPCG06T7/80G06T2207/30196G06V40/10G06V20/40G06V10/247G06V10/20Y02P90/30
Inventor 刘洋刘庭煜
Owner NANJING UNIV OF SCI & TECH
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