CN111666841A - Method for identifying off-duty personnel in window of government hall by utilizing artificial intelligence - Google Patents
Method for identifying off-duty personnel in window of government hall by utilizing artificial intelligence Download PDFInfo
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- CN111666841A CN111666841A CN202010447696.8A CN202010447696A CN111666841A CN 111666841 A CN111666841 A CN 111666841A CN 202010447696 A CN202010447696 A CN 202010447696A CN 111666841 A CN111666841 A CN 111666841A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000012790 confirmation Methods 0.000 description 1
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- 238000003058 natural language processing Methods 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/10—Services
- G06Q50/26—Government or public services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The invention discloses a method for identifying the off-duty of window personnel in a government affairs hall by utilizing artificial intelligence, which comprises the following steps: s1: high definition digtal camera is laid in the government affairs hall, makes the high definition digtal camera who lays lay to can gather the target staff who needs the monitoring completely, makes behind the high definition digtal camera switch on. The window target staff is monitored by arranging the high-definition camera, off-duty change of the target staff in a video is processed by the rear-end server and the processor, off-duty time is measured and calculated, real-time monitoring can be carried out on the off-duty condition of the target staff, off-duty information is conveyed to a mobile terminal of a manager, timely management and adjustment are facilitated, the window staff is managed accurately by the aid of the window staff management system, work efficiency is improved, service flow is simplified, efficiency and quality of service are improved, real-time adjustment is facilitated in an application process to carry out fine management, and the window staff management system is flexible to apply.
Description
Technical Field
The invention relates to the technical field of intelligent administrative management, in particular to a method for identifying people falling off duty in a window of a government hall by utilizing artificial intelligence.
Background
Artificial intelligence is a branch of computer science which attempts to understand the essence of intelligence and produces a new intelligent machine that can react in a manner similar to human intelligence, including robotics, language recognition, image recognition, natural language processing, expert systems, etc., while artificial intelligence is being widely used in various fields; a government affair hall, namely a government affair service center (called the government affair center for short), is a comprehensive management service mechanism which is set by the people government and centrally handles administrative permission, administrative payment, administrative confirmation, administrative collection and other service items in the authority range of the current government, and is also an important platform for strengthening government affair service, improving administrative efficiency and providing high-quality, convenient and efficient service for people, and the government affair service center is generally a government administrative mechanism; the management of window workers in the government center is an important management content of the government center.
At present, in the management work of service workers in a government affair hall of a government affair service center, the window service workers are difficult to be accurately and effectively managed, and the situations of worker absence and long off-duty time often occur, so that the work efficiency becomes low, the service flow becomes long, the service efficiency becomes poor, and the service quality is not convenient to improve.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a method for identifying people falling off duty in a window of a government hall by utilizing artificial intelligence.
A window personnel off-duty identification method for a government hall by utilizing artificial intelligence comprises the following steps:
s1: arranging a high-definition camera in a government affair hall, so that the arranged high-definition camera can be arranged to completely collect target workers to be monitored, and performing real-time video recording monitoring on the target workers after the high-definition camera is powered on;
s2: real-time recorded monitoring video data of target workers are transmitted to a rear-end server through a data connection line or a wireless network by the aid of distributed high-definition cameras;
s3: processing the received video data through a rear-end server, analyzing the outlines of the head and the shoulders of a human body in the video through processor operation, identifying whether workers exist in a window station area, calculating the time after the target workers leave the station when the situation that the target workers leave the station is monitored, intercepting the picture information of the off-duty video picture and the off-duty time interval information of the target workers by the processor when the time after the target workers leave the station reaches a preset off-duty time threshold value, and storing and transmitting the picture information and the off-duty time interval information to mobile terminal equipment of a manager through the rear-end server;
s4: after the target worker is monitored to be separated from the station in the step 3, calculating the separated time, stopping measuring and calculating the separated time when the separated time does not reach the preset off-duty time threshold value and the worker returns to the station, recording the off-duty times, measuring and calculating the accumulated off-duty times per day and the total off-duty time through a processor, and storing and transmitting the off-duty time information to the mobile terminal of the manager through the rear-end server when the accumulated off-duty times per day and the total off-duty time reach the preset threshold value;
and S5, the manager respectively adjusts the threshold values of the single off-duty time, the single-day off-duty times and the single-day accumulated off-duty time of each station at the mobile terminal of the manager, and transmits the instruction of changing the threshold values to the processor through the wireless network, so that the monitoring standard of the target worker can be adjusted, and the monitoring standard of the target worker can be changed.
Preferably, the number of the high-definition cameras arranged in step S1 is at least three, and the target staff to be monitored is subjected to real-time video acquisition from the front and side angles, respectively.
Preferably, in step S5, for the manager to adjust the thresholds of the single off duty time, the single-day off duty times, and the single-day accumulated off duty time of each workstation at their mobile terminal, the manager needs to input the change key during and after the adjustment.
The invention provides a method for identifying the off-duty of window personnel in a government affair hall by utilizing artificial intelligence, which monitors window target workers by arranging a high-definition camera, processes the off-duty change of the target workers in a video by a back-end server and a processor, measures and calculates the off-duty time, can monitor the off-duty condition of the target workers in real time, transmits the off-duty information to a mobile terminal of a manager, is convenient for timely management and adjustment, can carry out personnel scheduling and adjustment of the on-duty time requirement of the post according to the actual change of the post and the actual service requirement of the hall by adjusting the threshold value of the monitoring off-duty time of each post by the manager at the mobile terminal, is convenient for accurately managing the port service workers by application, is convenient for improving the handling efficiency, simplifying the service flow and improving the efficiency and the quality of the service, and the application process is convenient for real-time adjustment for fine management, and the application is very flexible.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
The invention provides a method for identifying the off-duty of window personnel in a government affairs hall by utilizing artificial intelligence, which comprises the following steps:
s1: arranging a high-definition camera in a government affair hall, so that the arranged high-definition camera can be arranged to completely collect target workers to be monitored, and performing real-time video recording monitoring on the target workers after the high-definition camera is powered on;
s2: real-time recorded monitoring video data of target workers are transmitted to a rear-end server through a data connection line or a wireless network by the aid of distributed high-definition cameras;
s3: processing the received video data through a rear-end server, analyzing the outlines of the head and the shoulders of a human body in the video through processor operation, identifying whether workers exist in a window station area, calculating the time after the target workers leave the station when the situation that the target workers leave the station is monitored, intercepting the picture information of the off-duty video picture and the off-duty time interval information of the target workers by the processor when the time after the target workers leave the station reaches a preset off-duty time threshold value, and storing and transmitting the picture information and the off-duty time interval information to mobile terminal equipment of a manager through the rear-end server;
s4: after the target worker is monitored to be separated from the station in the step 3, calculating the separated time, stopping measuring and calculating the separated time when the separated time does not reach the preset off-duty time threshold value and the worker returns to the station, recording the off-duty times, measuring and calculating the accumulated off-duty times per day and the total off-duty time through a processor, and storing and transmitting the off-duty time information to the mobile terminal of the manager through the rear-end server when the accumulated off-duty times per day and the total off-duty time reach the preset threshold value;
and S5, the manager respectively adjusts the threshold values of the single off-duty time, the single-day off-duty times and the single-day accumulated off-duty time of each station at the mobile terminal of the manager, and transmits the instruction of changing the threshold values to the processor through the wireless network, so that the monitoring standard of the target worker can be adjusted, and the monitoring standard of the target worker can be changed.
The number of the high-definition cameras in the step S1 is at least three, and the target staff to be monitored is subjected to real-time video acquisition from the front and side angles.
In step S5, for the manager to adjust the thresholds of the single off-duty time, the single-day off-duty times, and the single-day accumulated off-duty time of each workstation at the mobile terminal, the manager needs to input the change key during and after the adjustment.
The invention provides a method for identifying the off-duty of window workers in a government affair hall by utilizing artificial intelligence, which monitors window target workers by arranging a high-definition camera, processes the off-duty change of the target workers in a video by a rear-end server and a processor, measures and calculates the off-duty time, can monitor the off-duty condition of the target workers in real time, transmits the off-duty information to a mobile terminal of a manager, is convenient for timely management and adjustment, can carry out personnel scheduling and adjustment of the on-duty time requirement of the post according to the actual change of the post and the actual service requirement of the hall by adjusting the threshold value of the monitoring off-duty time of each post by the manager at the mobile terminal, is convenient for accurately managing the window workers by applying, is convenient for improving the handling efficiency, simplifying the service flow and improving the efficiency and the quality of the service, and the application process is convenient for real-time adjustment for fine management, and the application is very flexible.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (3)
1. A window personnel off-duty identification method for a government hall by utilizing artificial intelligence is characterized by comprising the following steps:
s1: arranging a high-definition camera in a government affair hall, so that the arranged high-definition camera can be arranged to completely collect target workers to be monitored, and performing real-time video recording monitoring on the target workers after the high-definition camera is powered on;
s2: real-time recorded monitoring video data of target workers are transmitted to a rear-end server through a data connection line or a wireless network by the aid of distributed high-definition cameras;
s3: processing the received video data through a rear-end server, analyzing the outlines of the head and the shoulders of a human body in the video through processor operation, identifying whether workers exist in a window station area, calculating the time after the target workers leave the station when the situation that the target workers leave the station is monitored, intercepting the picture information of the off-duty video picture and the off-duty time interval information of the target workers by the processor when the time after the target workers leave the station reaches a preset off-duty time threshold value, and storing and transmitting the picture information and the off-duty time interval information to mobile terminal equipment of a manager through the rear-end server;
s4: after the target worker is monitored to be separated from the station in the step 3, calculating the separated time, stopping measuring and calculating the separated time when the separated time does not reach the preset off-duty time threshold value and the worker returns to the station, recording the off-duty times, measuring and calculating the accumulated off-duty times per day and the total off-duty time through a processor, and storing and transmitting the off-duty time information to the mobile terminal of the manager through the rear-end server when the accumulated off-duty times per day and the total off-duty time reach the preset threshold value;
and S5, the manager respectively adjusts the threshold values of the single off-duty time, the single-day off-duty times and the single-day accumulated off-duty time of each station at the mobile terminal of the manager, and transmits the instruction of changing the threshold values to the processor through the wireless network, so that the monitoring standard of the target worker can be adjusted, and the monitoring standard of the target worker can be changed.
2. The method for identifying the off-duty personnel in the government hall window by using artificial intelligence as claimed in claim 1, wherein the number of the high-definition cameras in the step S1 is at least three, and the target personnel to be monitored are respectively subjected to real-time video acquisition from the front and side angles.
3. The method for identifying the off-Shift of a person in a government hall window using artificial intelligence as claimed in claim 1, wherein in step S5, the manager at his mobile terminal respectively adjusts the thresholds of the single off-Shift time, the single-day off-Shift times and the single-day accumulated off-Shift time of each workstation, and needs to input the change key during and after the adjustment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010447696.8A CN111666841A (en) | 2020-05-25 | 2020-05-25 | Method for identifying off-duty personnel in window of government hall by utilizing artificial intelligence |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010447696.8A CN111666841A (en) | 2020-05-25 | 2020-05-25 | Method for identifying off-duty personnel in window of government hall by utilizing artificial intelligence |
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| Publication Number | Publication Date |
|---|---|
| CN111666841A true CN111666841A (en) | 2020-09-15 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202010447696.8A Withdrawn CN111666841A (en) | 2020-05-25 | 2020-05-25 | Method for identifying off-duty personnel in window of government hall by utilizing artificial intelligence |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112929604A (en) * | 2021-01-27 | 2021-06-08 | 河北科迪新能源科技有限公司 | Office image acquisition management system |
| CN112949546A (en) * | 2021-03-18 | 2021-06-11 | 国网内蒙古东部电力有限公司信息通信分公司 | Off-duty detection method and device based on artificial intelligence perception of station service state |
| CN113640847A (en) * | 2021-06-17 | 2021-11-12 | 广州启盟信息科技有限公司 | Property positioning method, device and system based on GPS and image |
-
2020
- 2020-05-25 CN CN202010447696.8A patent/CN111666841A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112929604A (en) * | 2021-01-27 | 2021-06-08 | 河北科迪新能源科技有限公司 | Office image acquisition management system |
| CN112949546A (en) * | 2021-03-18 | 2021-06-11 | 国网内蒙古东部电力有限公司信息通信分公司 | Off-duty detection method and device based on artificial intelligence perception of station service state |
| CN113640847A (en) * | 2021-06-17 | 2021-11-12 | 广州启盟信息科技有限公司 | Property positioning method, device and system based on GPS and image |
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Application publication date: 20200915 |