Accurate station management method based on dynamic face verification

Abstract

The invention discloses a station accurate management method based on dynamic face verification, belongs to the technical field of office station management, and solves the problem of consistency of a station binding person and an actual user through real-time detection, verification and linkage of a background system and an attendance module through a millimeter wave radar sensor, an ink screen (with face recognition verification). The management method uses a millimeter wave radar sensor to detect human / unmanned triggering, and comprises the following steps: step 1, establishing a station binding relationship; step 2, checking the consistency between the station use and the binding person; step 3, the violation record exceeds the solution strategy; and step 4, station detection unmanned state processing decision.

Description

Technical Field

[0001] This invention belongs to the field of office workstation management technology, specifically involving a method for precise workstation management based on dynamic face verification. Background Technology

[0002] With the increasing popularity of hybrid and flexible work models, enterprises have an increasingly urgent need for refined and intelligent management of office space resources. As the most important spatial asset of an enterprise, the allocation and utilization efficiency of workstations directly affects the enterprise's operating costs and employees' work experience.

[0003] Problems with existing technical solutions: (1) The allocation mechanism is inefficient; it relies on administrative staff to manually allocate and adjust through Excel, which is cumbersome, slow to respond, and prone to errors. Employees are not clear about the logic and rules of workstation allocation.

[0004] (2) "Zombie workstations" and "phantom occupancy"; due to business trips, vacations, resignations, or long-term remote work, a large number of workstations are nominally occupied by the system, but are actually vacant for a long time. Managers cannot accurately identify these workstations, resulting in a waste of space resources.

[0005] (3) Inaccurate data and blind decision-making; the data in the workstation management system is "static" and cannot reflect the "dynamic" usage. It relies on regular manual inspections or employee self-reporting, and the data updates are delayed and inaccurate; there is no systematic collection and analysis of data such as workstation utilization rate, team collaboration mode, and space heat map.

[0006] These problems lead to heavy administrative burdens, low employee satisfaction, and internal conflicts easily arising from unfair distribution; companies lease office space far exceeding their actual needs, bearing high rent, property and energy costs; managers make decisions based on flawed data, like "blind men touching an elephant," unable to provide a scientific basis for future office space planning, leasing decisions, and decoration design, and decisions are based on "guessing." Summary of the Invention

[0007] To overcome the shortcomings of existing technologies, the present invention aims to provide a precise workstation management method based on dynamic face verification. This method uses millimeter-wave radar sensors and e-ink screens (with face recognition verification) for real-time detection and verification, and links with the back-end system and attendance module to solve the problem of consistency between the person bound to the workstation and the actual user.

[0008] The aforementioned workstation precision management method based on dynamic face verification uses millimeter-wave radar sensors to detect whether someone is present or absent, and includes the following steps: Step 1: Establishing workstation binding relationships; Step 2: Verify the consistency between the workstation user and the person assigned to it; Step 3: Violation records exceed the resolution strategy; Step 4: Decision-making for handling unmanned status at workstations.

[0009] Furthermore, in step 1, when the millimeter-wave radar sensor detects that the office workstation is in use, the backend management system determines whether the office workstation is vacant. If the office workstation is vacant, the system's e-ink screen identifies and records the user's facial information and compares it with the personnel information in the system to determine whether the user is in the system. If the user is not in the system, it is considered temporary use and no binding relationship is established. If the user is in the system, it is determined whether the user has a bound workstation. If the user has not a bound workstation, it is necessary to determine whether the user is a new employee. If the user is not a new employee, a gradient strategy is automatically executed based on the sensor occupancy time.

[0010] Furthermore, the gradient strategy is as follows: ① If the detected sensor occupancy time is less than 15 minutes, the system only records it as "possibly a brief pass-through"; ② If the detected sensor occupancy time is greater than 15 minutes but less than 3 hours, the system determines it as "temporary use"; ③ If the detected sensor occupancy time exceeds 3 hours, the system recommends a suitable workstation based on the user's department and position. If the user agrees, the recommended new workstation is bound to the user's workstation. If the user does not accept the recommendation, the workstation is changed, and the detection and execution strategy restarts until the user binds the workstation. If the user is a new employee and the detected sensor occupancy time is greater than 15 minutes, the system recommends a suitable workstation based on the user's department and position. If the user agrees, the recommended new workstation is bound to the user's workstation. If the user does not accept the recommendation, the workstation is changed, and the detection and execution strategy restarts until the user binds the workstation.

[0011] Furthermore, in step 2, if the office workstation is not vacant and the user has a bound workstation, and if the user's facial information recognized by the e-ink screen matches the personnel information bound to that workstation in the background, the workstation binding relationship remains unchanged; if the user's information does not match the information of the person bound to the background, the company's attendance information needs to be linked to confirm whether the person to whom the workstation belongs is in the company. If the person to whom the workstation belongs is in the company, and the sensor detection time is less than 15 minutes, the system determines it as a brief visit, and the workstation binding relationship does not change; if the sensor detection time is greater than 15 minutes, the e-ink screen displays and reminds the temporary user to "please change workstations," the workstation binding relationship remains unchanged, and the user and the office workstation are recorded as having violated the rules by 1 time.

[0012] Furthermore, if the employee is not at the company during attendance, the system needs to determine the sensor occupancy time and whether the person is authorized. If the sensor detection occupancy time is less than 15 minutes, the system determines it as a brief visit, and the workstation binding relationship remains unchanged. If the sensor detection occupancy time is greater than 15 minutes, the workstation screen displays the message "Identity not verified, please scan your face," and simultaneously pushes a notification to the bound person's APP: "Your workstation appears to be occupied, do you authorize it?" If the bound person agrees, temporary use is allowed, and the workstation binding relationship remains unchanged. If the bound person disagrees, the e-ink screen displays and reminds the temporary user to "please change workstations," the workstation binding relationship remains unchanged, and the user and the office workstation are recorded as having violated the rules by one. If the bound person does not respond more than three times, the workstation is forcibly released, marked as vacant and available, the e-ink screen displays an vacant workstation, and administrative personnel are notified to verify.

[0013] Furthermore, in step 3, if the same workstation / the same colleague has 5 or more violations within a month, the system will automatically recommend a more suitable workstation for the employee based on their department and position. If the employee accepts the recommended workstation, a binding relationship will be established between the employee and the new workstation. If the employee does not accept, steps 1-3 will be repeated after the sensor at the new workstation detects that someone is there. If the same workstation / the same colleague has fewer than 5 violations within a month, the system will not take any action, and steps 1-3 will be repeated after the sensor detects that someone is there.

[0014] Furthermore, in step 4, if the sensor detects no one, the bound person is in the system, and the bound person's attendance is at the company, it is determined to be a temporary departure; if the bound person's attendance is not at the company, it is determined to be a temporary business trip; if the bound person is not in the system, it is determined to be a resignation of the bound person, the office workstation is marked as vacant and available, and the e-ink screen displays an vacant workstation; after the office workstation sensor detects someone, steps 1-4 are repeated.

[0015] Compared with the prior art, the present invention has the following advantages: (1) Extremely high data accuracy: By using biometrics (face) as an intransitive identifier and combining cross-validation of multi-source data, the accuracy of workstation data is increased from about 60% in the traditional model to more than 99%; the system data (who should use which workstation) is completely consistent with the actual usage (who is using which workstation), and the system generates real and dynamic workstation utilization reports, heat maps and trend analyses, providing a scientific basis for spatial planning.

[0016] (2) Resource utilization rate is greatly improved: idle workstations are automatically recycled and redistributed, increasing the overall workstation utilization rate from an average of 50-60% to over 85%, directly reducing the company's space rental costs.

[0017] (3) Management automation and intelligence: realize the automation and unmanned management of workstation allocation, with little or no human intervention required throughout the process, greatly reducing the administrative management burden and improving the management granularity from "month" to "minute".

[0018] (4) Good user experience: Through tiered strategies and temporary authorization mechanisms, the system ensures management accuracy while taking into account office flexibility and employee privacy. Attached Figure Description

[0019] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0021] This invention discloses a method for precise workstation management based on dynamic facial recognition in a fixed office setting. The management system comprises office workstations (elevated and non-elevated), e-ink displays (with facial recognition verification), millimeter-wave radar sensors, Bluetooth, a Bluetooth gateway, a backend management system, and a mobile app. The millimeter-wave radar sensors are installed at the bottom of the desks, and the e-ink displays (with facial recognition verification) are mounted on screens. The backend management system automatically allocates workstations, binds them to workstations, and performs multi-source data fusion for judgment. Through real-time detection and verification by the millimeter-wave radar sensors and e-ink displays (with facial recognition verification), and in conjunction with the backend system and attendance module, the system resolves the issue of consistency between the person bound to the workstation and the actual user.

[0022] like Figure 1 As shown, the workstation precision management method based on dynamic face verification includes the following steps: Step 1: Establishing workstation binding relationships.

[0023] When the millimeter-wave radar sensor detects that an office workstation is in use, the back-end management system determines whether the workstation is vacant. If the workstation is vacant, the system's e-ink screen (with facial recognition verification) identifies and records the user's facial information and compares it with the personnel information in the system to determine whether the user is in the system. If the user is not in the system, it is considered temporary use and no binding relationship is established. If the user is already in the system, the system checks if the user has a bound workstation. If the user hasn't bound a workstation, it checks if the user is a new employee. If the user is not a new employee, the system automatically executes a gradient strategy based on the sensor occupancy time. If the sensor occupancy time is short (<15 minutes), the system only records it, indicating a possible brief visit. If the sensor occupancy time is greater than 15 minutes but less than 3 hours, the system determines it as temporary use. If the sensor occupancy time exceeds 3 hours, the system recommends a suitable workstation based on the user's department and position. If the user agrees, the recommended new workstation is bound. If the user does not accept, the workstation is changed, and the detection and execution strategy restarts until the user binds a workstation. If the user is a new employee, and the sensor occupancy time is greater than 15 minutes, the system recommends a suitable workstation based on the user's department and position. If the user agrees, the recommended new workstation is bound. If the user does not accept, the workstation is changed, and the detection and execution strategy restarts until the user binds a workstation.

[0024] Step 2: Verify the consistency between the workstation user and the bound person.

[0025] If the workstation is not vacant and the user has a registered workstation, and the user's facial information recognized by the e-ink screen matches the information of the person registered for that workstation in the backend, the workstation registration remains unchanged. If the user's information does not match the information of the person registered in the backend, the company's attendance information needs to be checked to confirm whether the person registered for the workstation is in the company. If the person is registered in the company, and the sensor detection time is less than 15 minutes, the system determines it as a brief visit, and the workstation registration remains unchanged. If the sensor detection time is more than 15 minutes, the e-ink screen displays and reminds the temporary user to "please change workstations," the workstation registration remains unchanged, and one violation is recorded for both the user and the workstation.

[0026] If the employee is not at the company, the system needs to determine the sensor occupancy time and whether the person is authorized. If the sensor detection occupancy time is less than 15 minutes, the system determines it as a brief visit, and the workstation binding relationship remains unchanged. If the sensor detection occupancy time is greater than 15 minutes, the workstation screen displays the message "Identity not verified, please scan face." At the same time, a notification is pushed to the bound person's APP: "Your workstation appears to be occupied. Do you authorize it?" If the bound person agrees, temporary use is allowed (valid for the day), and the workstation binding relationship remains unchanged. If the bound person does not agree, the e-ink screen displays and reminds the temporary user to "please change workstations," the workstation binding relationship remains unchanged, and the user and the office workstation are recorded as having violated the rules by 1 time. If the bound person does not respond after more than 3 times, the workstation is forcibly released, marked as vacant and available, the e-ink screen displays an vacant workstation, and administrative staff are notified to verify.

[0027] Step 3: Violation records exceed the resolution strategy.

[0028] If the same workstation / colleague has 5 or more violations within a month, the system will automatically recommend a more suitable workstation for the employee based on their department and position. If the employee accepts the recommended workstation, a binding relationship will be established between the employee and the new workstation. If the employee does not accept, steps 1-3 will be repeated after the sensor at the new workstation detects that someone is there. If the same workstation / colleague has fewer than 5 violations within a month, the system will not take any action, but steps 1-3 will be repeated after the sensor detects that someone is there.

[0029] Step 4: Strategy for handling unmanned workstation status.

[0030] If the sensor detects no one, and the person is registered in the system and their attendance record is at the company, the system determines that they are temporarily away. If the person is not registered at the company, the system determines that they are on a temporary business trip. If the person is not registered in the system, the system determines that the person has left the company, and the workstation is marked as vacant and available, and the e-ink screen displays the vacant workstation. After the workstation sensor detects someone, steps 1-4 are repeated.

[0031] This invention addresses the following technical deficiencies: (1) Promote process automation and system integration. The core objective is to reduce manual intervention. The new employee onboarding system automatically assigns workstations, sends workstation information to the new employee's mobile phone, and directly synchronizes the data to the workstation electronic screen to achieve paperless and real-time updates.

[0032] (2) Ensure the real-time and consistent nature of the data. At the data acquisition end, when using a facial recognition system, ensure the accuracy of the entire data transmission chain, from hardware selection and algorithm optimization to data transmission. In addition, conduct regular data verification and clearly define the responsible persons and standards for data maintenance to maintain information accuracy.

[0033] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A precise workstation management method based on dynamic face verification, using millimeter-wave radar sensors to detect whether someone is present or absent, characterized in that... Includes the following steps: Step 1: Establishing workstation binding relationships; Step 2: Verify the consistency between the workstation user and the person bound to it; Step 3: Violation records exceed the resolution strategy; Step 4: Decision-making for handling unmanned status at workstations.

2. The workstation precision management method based on dynamic face verification according to claim 1, characterized in that, In step 1, when the millimeter-wave radar sensor detects that the office workstation is in use, the backend management system determines whether the workstation is vacant. If the workstation is vacant, the system's e-ink screen identifies and records the user's facial information and compares it with the personnel information in the system to determine whether the user is in the system. If the user is not in the system, it is considered temporary use and no binding relationship is established. If the user is in the system, it is determined whether the user has a bound workstation. If the user has no bound workstation, it is necessary to determine whether the user is a new employee. If the user is not a new employee, a gradient strategy is automatically executed based on the sensor occupancy time.

3. The workstation precision management method based on dynamic face verification according to claim 2, characterized in that, The gradient strategy is as follows: ① If the detected sensor occupancy time is less than 15 minutes, the system only records it as "possibly a brief pass-through"; ② If the detected sensor occupancy time is greater than 15 minutes but less than 3 hours, the system determines it as "temporary use"; ③ If the detected sensor occupancy time exceeds 3 hours, the system recommends a suitable workstation based on the user's department and position. If the user agrees, the recommended new workstation is bound to the user's workstation. If the user does not accept the recommendation, the workstation is changed, and the detection and execution strategy restarts until the user binds the workstation. If the user is a new employee and the detected sensor occupancy time is greater than 15 minutes, the system recommends a suitable workstation based on the user's department and position. If the user agrees, the recommended new workstation is bound to the user's workstation. If the user does not accept the recommendation, the workstation is changed, and the detection and execution strategy restarts until the user binds the workstation.

4. The workstation precision management method based on dynamic face verification according to claim 1, characterized in that, In step 2, if the workstation is not vacant and the user has a bound workstation, and if the user's facial information recognized by the e-ink screen matches the information of the person bound to that workstation in the backend, the workstation binding relationship remains unchanged. If the user's information does not match the information of the person bound to the backend, the company's attendance information needs to be linked to confirm whether the person to whom the workstation belongs is in the company. If the person to whom the workstation belongs is in the company, and the sensor detection time is less than 15 minutes, the system determines it as a brief visit, and the workstation binding relationship does not change. If the sensor detection time is more than 15 minutes, the e-ink screen displays and reminds the temporary user to "please change workstations," the workstation binding relationship remains unchanged, and the user and the workstation are recorded as having violated the rules by 1 time.

5. The workstation precision management method based on dynamic face verification according to claim 4, characterized in that, If the employee is not at the company, the system needs to determine the sensor occupancy time and whether the employee is an authorized person. If the sensor occupancy time is less than 15 minutes, the system determines it as a brief visit and the workstation binding relationship remains unchanged. If the sensor occupancy time is more than 15 minutes, the workstation screen will display the message "Identity not verified, please scan your face," and a notification will be pushed to the bound person's APP: "Your workstation appears to be occupied. Do you want to authorize it?" If the bound person agrees, temporary use is allowed, and the workstation binding relationship remains unchanged. If the person who is bound to the workstation does not agree, the e-ink screen will display and remind the temporary user to "please change workstations". The workstation binding relationship will remain unchanged, and the user and the office workstation will be marked as having violated the rules by 1 time. If the person who is bound to the workstation does not respond after more than 3 times, the workstation will be forcibly released and marked as vacant and available. The e-ink screen will display the vacant workstation and notify the administrative staff to check.

6. The workstation precision management method based on dynamic face verification according to claim 1, characterized in that, In step 3, if the same workstation / the same colleague has 5 or more violations within a month, the system will automatically recommend a more suitable workstation for the employee based on their department and position. If the employee accepts the recommended workstation, a binding relationship will be established between the employee and the new workstation. If the employee does not accept the recommendation, steps 1-3 will be repeated after the sensor at the new workstation detects that someone is there. If the same workstation / the same colleague has fewer than 5 violations within a month, the system will not take any action, and steps 1-3 will be repeated after the sensor detects that someone is there.

7. The workstation precision management method based on dynamic face verification according to claim 1, characterized in that, In step 4, if the sensor detects no one, the bound person is in the system, and the bound person's attendance record is at the company, it is determined that the person has temporarily left; if the bound person's attendance record is not at the company, it is determined that the person is on a temporary business trip; if the bound person is not in the system, it is determined that the bound person has resigned, the office workstation is marked as vacant and available, and the e-ink screen displays the vacant workstation; after the office workstation sensor detects someone, steps 1-4 are repeated.

Images