A method and system for identifying people crossing a belt based on computer vision
A computer vision and recognition method technology, applied in computer parts, computing, character and pattern recognition, etc., can solve problems such as hidden safety hazards and unsafe behaviors that are not found, and achieve real-time monitoring, manpower saving, and efficient judgment. Effect
Active Publication Date: 2022-01-25
JINGYING SHUZHI TECH HLDG CO LTD
View PDF10 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] At present, the method of ensuring the safety of personnel in underground mine sites is still relatively traditional, such as installing cameras on the job site for remote monitoring by a special person, or setting up on-site security personnel, etc., which require a lot of manpower and are prone to human error Unsafe behaviors have not been discovered due to the interference of various factors, resulting in certain hidden safety hazards
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0041] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
[0042] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations o...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a computer vision-based method and system for identifying a person crossing a belt, comprising: acquiring the person and the belt in the video through a trained instance segmentation model; fitting the curves of the two edge contours of the belt; determining the person's Foot position: According to the positional relationship between the foot position and the curves of the two edge contours of the belt, it is judged whether the person straddles the belt. The invention uses the existing camera to collect images of the belt area, extracts the key information features of the belt and personnel through the instance segmentation algorithm, and combines the geometric positional relationship between the personnel and the belt to set a judgment algorithm for personnel crossing the belt to achieve real-time and efficient judgment . Compared with ordinary manual monitoring, it saves a lot of manpower and ensures real-time monitoring. And the implementation of the present invention only needs to install cameras on site and deploy servers, which reduces the complexity of management.
Description
technical field [0001] The invention belongs to the fields of computer vision and underground personnel construction safety, and in particular relates to a computer vision-based identification method and system for personnel crossing a belt. Background technique [0002] With the increasing attention to the safety of energy mining, energy companies should pay more attention to the personal safety of on-site workers while focusing on increasing production capacity. For some dangerous behaviors, early detection and early treatment should be carried out to avoid personal injury. [0003] At present, the method of ensuring the safety of personnel in underground mine sites is still relatively traditional, such as installing cameras on the job site for remote monitoring by a special person, or setting up on-site security personnel, etc., which require a lot of manpower and are prone to human error Unsafe behaviors have not been discovered due to the interference of various factors...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V10/26
Inventor 刘志梁辉龚大立
Owner JINGYING SHUZHI TECH HLDG CO LTD