CN112950801B - Remote office attendance recording method and device - Google Patents

Remote office attendance recording method and device Download PDF

Info

Publication number
CN112950801B
CN112950801B CN202110182950.0A CN202110182950A CN112950801B CN 112950801 B CN112950801 B CN 112950801B CN 202110182950 A CN202110182950 A CN 202110182950A CN 112950801 B CN112950801 B CN 112950801B
Authority
CN
China
Prior art keywords
attendance
recorded
preset
personnel
score
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110182950.0A
Other languages
Chinese (zh)
Other versions
CN112950801A (en
Inventor
蒋成
龙岳
郭悦
张金玲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China United Network Communications Group Co Ltd
Original Assignee
China United Network Communications Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China United Network Communications Group Co Ltd filed Critical China United Network Communications Group Co Ltd
Priority to CN202110182950.0A priority Critical patent/CN112950801B/en
Publication of CN112950801A publication Critical patent/CN112950801A/en
Application granted granted Critical
Publication of CN112950801B publication Critical patent/CN112950801B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/10Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/109Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1091Recording time for administrative or management purposes

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Strategic Management (AREA)
  • Data Mining & Analysis (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a remote office attendance recording method and a device, wherein the method comprises the following steps: acquiring a plurality of images of the attendance personnel to be recorded within a sampling time length, wherein the sampling time length starts from the acquisition of the images of the attendance personnel to be recorded to the end of the acquisition of the images of the attendance personnel to be recorded for the first time; responding to the fact that the sampling duration is longer than a preset period, and determining attendance information of the attendance personnel to be recorded in the preset period according to the images, the acquisition time of the images and preset personalized information of the attendance personnel to be recorded in the preset period; and determining the attendance information of the attendance personnel to be recorded within the sampling duration according to the attendance information of the attendance personnel to be recorded within each preset period. The embodiment of the invention can ensure that the attendance information of the remote office staff is real and effective and cannot be faked, can clearly know whether the working time of the staff is saturated or not, and effectively ensures the attendance management of the remote office.

Description

Remote office attendance recording method and device
Technical Field
The invention relates to the technical field of computers, in particular to a remote office attendance recording method and device.
Background
At present, the work of many official working posts is finished by using a computer, in fact, the office can be done by only using the computer, and some units or employees or certain specific times choose to work at home remotely for some reasons.
Because it is teleworking, can't learn the long-range official working condition of staff, though the long-range attendance of also can carrying out the attendance of checking in the card, the staff can't arrive the sentry official working, can't guarantee the authenticity of staff's attendance record, the attendance management of still being not convenient for, do not know moreover whether staff's daily operating time is saturated.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a remote office attendance recording method and device.
In order to solve the technical problems, the invention adopts the following technical scheme:
the invention provides a remote office attendance recording method, which comprises the following steps:
acquiring a plurality of images of an attendance person to be recorded within a sampling time length, wherein the sampling time length starts from the acquisition of the images of the attendance person to be recorded to the end of the acquisition of the images of the attendance person not to be recorded for the first time;
responding to the fact that the sampling duration is longer than the preset period, and determining attendance information of the attendance personnel to be recorded in the preset period according to the images, the acquisition time of the images and preset personalized information of the attendance personnel to be recorded in the preset period;
and determining the attendance information of the attendance personnel to be recorded within the sampling duration according to the attendance information of the attendance personnel to be recorded within each preset period.
In some embodiments, the personalization information comprises: the method comprises the following steps of determining attendance information of attendance personnel to be recorded in a preset period according to the images, the acquisition time of the images and preset personalized information of the attendance personnel to be recorded according to the preset period, wherein the attendance information comprises body shape information and common office time intervals, and the method comprises the following steps:
matching the body shape information of the people in each image in the preset period with the body shape information of the attendance checking personnel to be recorded to obtain a first matching result, and determining a first score according to the first matching result;
matching the acquisition time of each image in the preset period with the common office time period of the attendance personnel to be recorded to obtain a second matching result, and determining a second score according to the second matching result;
determining terminal operation information of the attendance checking personnel to be recorded according to the images in the preset period, and determining a third score according to the terminal operation information;
and determining attendance information of the attendance personnel to be recorded in the preset period according to the first score, the second score and the third score.
In some embodiments, the determining, according to the first score, the second score and the third score, attendance information of the attendance checking person to be recorded within the preset period includes:
calculating the sum of the first score, the second score and the third score to obtain a total score;
and responding to the fact that the total score is larger than a preset first threshold value, and determining that attendance information of the attendance checking personnel to be recorded in the preset period is valid.
In some embodiments, the matching the body shape information of the person in each image in the preset period with the body shape information of the attendance checking person to be recorded to obtain a first matching result, and determining a first score according to the first matching result includes:
respectively calculating the matching degree of the body shape information of the people in each image in the preset period and the body shape information of the attendance to be recorded, and calculating the total matching degree according to each matching degree obtained through calculation;
in response to the total matching degree being greater than a preset second threshold, increasing the first score by a preset value; in response to the total match being less than or equal to the second threshold, decreasing the first score by the preset value.
In some embodiments, the matching the acquisition time of each image in the preset period with the common office period of the attendance checking staff to be recorded to obtain a second matching result, and determining a second score according to the second matching result includes:
responding to the fact that the obtaining time of each image in the preset period belongs to the common office time period of the attendance checking personnel to be recorded, and increasing the second score by a preset value; and in response to the fact that the obtaining time of at least one image in the preset period does not belong to the common office time period of the attendance checking personnel to be recorded, reducing the second score by the preset value.
In some embodiments, the determining terminal operation information of the attendance checking person to be recorded according to each image in the preset period, and determining a third score according to the terminal operation information includes:
responding to the fact that the attendance checking personnel to be recorded executes a preset action according to at least one image in the preset period, and increasing a third score by a preset value; and in response to the fact that the attendance checking personnel to be recorded do not execute the preset action according to all the images in the preset period, reducing the third score by the preset value.
In some embodiments, the method is applied to a blockchain network including the remote office attendance recording apparatus node and a person node, where the person node is a node of a person in the same department as the attendance person to be recorded, and the method further includes:
counting attendance information of the attendance personnel to be recorded in each sampling time length of the preset time length to obtain an attendance counting result of the preset time length;
broadcasting the attendance statistics result of the preset duration of the attendance personnel to be recorded to the block chain network.
In some embodiments, after obtaining an attendance statistics result with a preset duration, before broadcasting the attendance statistics result with the preset duration of the attendance personnel to be recorded to a blockchain network, the method further includes:
and determining whether the attendance of the attendance person to be recorded is qualified within the preset time length according to the attendance statistical result of the preset time length and a preset third threshold value.
The invention also provides a remote office attendance recording device, comprising: the system comprises an image acquisition module and a first processing module, wherein the image acquisition module is used for acquiring a plurality of images of an attendance person to be recorded within a sampling time length, and the sampling time length is from the time when the images of the attendance person to be recorded are acquired to the time when the images of the attendance person to be recorded are not acquired for the first time;
the first processing module is used for responding to the situation that the sampling duration is longer than the preset period, and determining attendance information of the attendance person to be recorded in the preset period according to the preset period and the acquisition time of each image and the preset personalized information of the attendance person to be recorded; and determining the attendance information of the attendance personnel to be recorded within the sampling duration according to the attendance information of the attendance personnel to be recorded within each preset period.
In some embodiments, the remote office attendance recording device further comprises a second processing module, wherein the second processing module is used for counting attendance information of the attendance person to be recorded within each sampling time length of a preset time length to obtain an attendance counting result of the preset time length; broadcasting the attendance statistics result of the attendance personnel to be recorded with the preset duration to the block chain network.
The embodiment of the invention provides a remote office attendance recording method, which comprises the following steps: acquiring a plurality of images of the attendance personnel to be recorded within a sampling time length, wherein the sampling time length starts from the acquisition of the images of the attendance personnel to be recorded to the end of the acquisition of the images of the attendance personnel to be recorded for the first time; responding to the fact that the sampling duration is longer than a preset period, and determining attendance information of the attendance personnel to be recorded in the preset period according to the images, the acquisition time of the images and preset personalized information of the attendance personnel to be recorded in the preset period; and determining the attendance information of the attendance personnel to be recorded within the sampling duration according to the attendance information of the attendance personnel to be recorded within each preset period. The embodiment of the invention can ensure that the attendance information of the remote office staff is real and effective and cannot be faked, can clearly know whether the working time of the staff is saturated or not, and effectively ensures the attendance management of the remote office.
Drawings
Fig. 1 is a schematic flow chart of a remote office attendance recording method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating the process of determining attendance information of the attendance person to be recorded in a preset period according to the embodiment of the present invention;
fig. 3 is a schematic flow chart of reporting an attendance statistics result to a block chain according to an embodiment of the present invention;
fig. 4 is a first schematic structural diagram of a remote office attendance recording apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram ii of the remote office attendance recording apparatus according to the embodiment of the present invention.
Detailed Description
The technical solution of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The embodiment of the invention provides a remote office attendance recording method, which comprises the following steps of:
and step 11, acquiring a plurality of images of the attendance checking personnel to be recorded within the sampling time, wherein the sampling time starts from the time when the images of the attendance checking personnel to be recorded are acquired to the time when the images of the attendance checking personnel to be recorded are not acquired for the first time.
The to-be-recorded attendance personnel refer to personnel who perform remote office work, the to-be-recorded attendance personnel need to work through a computer, and when the to-be-recorded attendance personnel unlock computer equipment, the remote office attendance recording device can call a camera of the computer to acquire image information which can be captured by a current camera area. Once the computer of the attendance personnel to be recorded is started, the image acquired by the camera is reported to the remote office attendance recording device. It should be noted that, in the embodiment of the present invention, attendance information is recorded based on a sampling duration, the sampling duration is not fixed, the sampling duration starts from the acquisition time of the first image of the attendance to be recorded in each image reported by the computer of the attendance to be recorded, and ends at the acquisition time of the first image of each image not including the image of the attendance to be recorded, so that attendance information is recorded more accurately.
And step 12, responding to the condition that the sampling duration is longer than the preset period, and determining attendance information of the attendance person to be recorded in the preset period according to the images, the acquisition time of the images and preset personalized information of the attendance person to be recorded in the preset period.
If the sampling duration exceeds the preset period, dividing the sampling duration by the preset period, and determining the attendance information of the attendance personnel to be recorded in the preset period aiming at each preset period. In some embodiments, the preset period may be 10 minutes.
And step 13, determining the attendance information of the attendance to be recorded within the sampling duration according to the attendance information of the attendance to be recorded within each preset period.
In the step, the attendance information of each preset period in the sampling duration is collected, and the attendance information of the attendance person to be recorded in the sampling duration is obtained.
It should be noted that, if the sampling duration is less than the preset period, for example, less than 10min, it indicates that the attendance checking person to be recorded leaves the computer soon after sitting in the computer for a short time, the sampling duration may be considered invalid, that is, the sampling duration is not judged and recorded for the attendance checking information. Or, the short sampling time can be counted according to a preset strategy, and converted into effective attendance information.
The remote office attendance recording method provided by the embodiment of the invention comprises the steps of acquiring a plurality of images of attendance personnel to be recorded within a sampling time length, wherein the sampling time length starts from the time when the images of the attendance personnel to be recorded are acquired to the time when the images of the attendance personnel to be recorded are not acquired for the first time; responding to the fact that the sampling duration is longer than a preset period, and determining attendance information of the attendance personnel to be recorded in the preset period according to the images, the acquisition time of the images and preset personalized information of the attendance personnel to be recorded in the preset period; and determining the attendance information of the attendance personnel to be recorded in the sampling time length according to the attendance information of the attendance personnel to be recorded in each preset period. The embodiment of the invention can ensure that the attendance information of the telecommuting personnel is real and effective and cannot be counterfeited, can clearly know whether the working time of the personnel is saturated or not, and effectively ensures the attendance management of the telecommuting.
In some embodiments, the personalization information comprises: physical form information and common office hours. Because everyone's position of sitting, the form fat thin all is different, consequently, require to wait to record attendance personnel and input own health form information in advance. Due to the fact that the working time of the personnel is inconsistent with the working time and rest of the personnel normally in nine nights and five nights for some reasons, in the embodiment of the invention, the common working time period of the personnel to be recorded can be recorded in the remote working attendance recording device in advance. In some embodiments, it may also be specified that the entered frequent office period cannot exceed 10 hours.
In some embodiments, as shown in fig. 2, the determining, according to the preset period, attendance information of the attendance person to be recorded within the preset period according to the images, the acquisition time of the images, and preset personalized information of the attendance person to be recorded (i.e., step 12), includes the following steps:
and step 121, matching the body shape information of the people in the images in the preset period with the body shape information of the attendance to be recorded to obtain a first matching result, and determining a first score according to the first matching result.
In the step, a portrait recognition model is used for matching body shape information, the body shape information of the attendance checking personnel to be recorded is recorded into a data set in advance, the portrait recognition model is used for matching the body shape information of the person in the acquired image with the body shape information of the attendance checking personnel to be recorded in the data set, an interval value of [0,1] is returned, and a first score is determined according to the interval value returned by each image.
In some embodiments, the matching the body shape information of the person in each image in the preset period with the body shape information of the attendance to be recorded to obtain a first matching result, and determining a first score according to the first matching result (i.e., step 121) includes the following steps: respectively calculating the matching degree of the body shape information of the people in each image in a preset period and the body shape information of the attendance to be recorded, and calculating the total matching degree according to each matching degree obtained through calculation; in response to the total matching degree being greater than a preset second threshold, increasing the first score by a preset value; in response to the total match being less than or equal to a second threshold, decreasing the first score by the preset value.
In some embodiments, the second threshold may be 0.5, and the preset value may be 1. That is, if the total matching degree of each image in a preset period is greater than 0.5 and less than or equal to 1, adding 1 to the first score; and if the total matching degree of each image in a preset period is greater than 0 and less than 0.5, subtracting 1 from the first score.
And step 122, matching the acquisition time of each image in a preset period with the common office time period of the attendance to be recorded to obtain a second matching result, and determining a second score according to the second matching result.
In the step, a second matching result is obtained by judging whether the acquisition time of the image belongs to the common office time period of the attendance checking personnel to be recorded.
In some embodiments, the matching the obtaining time of each image in the preset period with the common office time period of the attendance checking staff to be recorded to obtain a second matching result, and determining a second score according to the second matching result (i.e., step 122), includes the following steps: responding to the fact that the acquisition time of each image in the preset period belongs to the common office time period of the attendance checking personnel to be recorded, and increasing the second score by a preset value; and in response to the fact that the acquisition time of at least one image in the preset period does not belong to the common office time period of the attendance personnel to be recorded, reducing the second score by a preset value. That is, if the image is acquired in the common office period of the attendance checking personnel to be recorded, adding 1 to the second score; and if the image is acquired in the non-office period of the attendance checking personnel to be recorded, subtracting 1 from the second score.
And step 123, determining terminal operation information of the attendance checking personnel to be recorded according to the images in the preset period, and determining a third score according to the terminal operation information.
The terminal operation information may include, but is not limited to: keyboard operations, mouse operations, etc.
In some embodiments, the determining terminal operation information of the attendance checking personnel to be recorded according to each image in the preset period, and determining a third score according to the terminal operation information includes the following steps: responding to the fact that the attendance to be recorded is determined to execute a preset action according to at least one image in a preset period, and increasing the third score by a preset value; and in response to the fact that the attendance to be recorded does not execute the preset action according to all the images in the preset period, reducing the third score by a preset value. That is, if the attendance to be recorded has a keyboard operation or a mouse operation within a preset period (for example, 10 minutes), adding 1 to the third score; and if the attendance personnel to be recorded do not have keyboard operation or mouse operation within a preset period (for example, 10 minutes), subtracting 1 from the third score.
Because the attendance checking personnel to be recorded can sit in front of the computer to watch videos, the time cannot be recorded as office time, and therefore, the terminal operation information of the attendance checking personnel to be recorded is required to be checked in a preset period so as to ensure the accuracy of the attendance checking information.
And step 124, determining attendance information of the attendance personnel to be recorded in a preset period according to the first score, the second score and the third score.
In the step, the conditions of the first score, the second score and the third score are integrated, so that the attendance information of the attendance personnel to be recorded is determined.
In some embodiments, the sum of the first score, the second score, and the third score is calculated to yield a total score. And responding to the fact that the total score is larger than a preset first threshold value, and determining that attendance information of the attendance personnel to be recorded in the preset period is valid. The valid attendance information means that the preset period of the attendance to be recorded is recorded as the working time. It should be noted that, in response to the total score being less than or equal to 0, it is determined that the attendance information of the attendance person to be recorded in the preset period is invalid, that is, the preset period of the attendance person to be recorded is not recorded as the work time. In some embodiments, the first threshold may be set to 0.
For example, if the total matching degree of the images of the attendance personnel to be recorded in a preset period is 0.65 (greater than 0.5), 1 is added to the first score. However, the acquisition time of the image does not belong to the common office period of the attendance person to be recorded, and therefore the second score is reduced by 1. And if the attendance checking personnel to be recorded do not execute keyboard operation or mouse operation in the preset period, subtracting 1 from the third score. Thus, the obtained total score is-1 (less than 0), and the preset period of the attendance checking personnel to be recorded is not recorded as the working time.
It should be noted that, if the total matching degree of the images of the attendance personnel to be recorded in a preset period is 0.65 (greater than 0.5), the first score is added by 1. The acquisition time of the image belongs to the common office time period of the attendance checking personnel to be recorded, and therefore the second score is added by 1. And if the attendance checking personnel to be recorded do not execute keyboard operation or mouse operation in the preset period, subtracting 1 from the third score. In this case, if the obtained total score is 1 (greater than 0), the preset period of the attendance checking person to be recorded is recorded as the working time. The embodiment of the invention considers the condition that the attendance checking personnel to be recorded are possibly in meetings or participate in training, so that the preset period is still recorded as the working time.
In some embodiments, the remote office attendance recording method may be further applied to a blockchain network, where the blockchain includes the remote office attendance recording apparatus node and the person node, and the person node is a node of a person in the same department as the attendance person to be recorded.
As shown in fig. 3, the remote office attendance recording method further includes the steps of:
and step 31, counting attendance information of the attendance personnel to be recorded within each sampling time length of the preset time length to obtain an attendance counting result of the preset time length.
In some embodiments, the preset time period may be 24 hours. In the step, the attendance information of the attendance personnel to be recorded every day is counted and summarized. Due to the fact that the work time is flexible, the work time of the whole day, namely the work attendance time within 24 hours, is recorded, the work attendance time is not limited to the time set by the unit to be nine-morning and five-evening, and the work attendance can be considered to be qualified as long as the work time of the remote office worker exceeds the time set by the unit within 24 hours of the whole day.
And step 32, broadcasting an attendance statistic result of the attendance personnel to be recorded with the preset duration to the block chain network.
In the step, the remote office attendance recording device node uploads the attendance information of the attendance personnel to be recorded every day to the block chain network and records the attendance information in the block chain account book,
therefore, other persons in the same department as the attendance to be recorded can check the blockchain account book through the blockchain network to inquire the attendance information of the persons in the department, the attendance information is public and transparent, the attendance information cannot be tampered, and the attendance management is facilitated.
In some embodiments, after obtaining the attendance statistics result with the preset duration (i.e. step 31), before broadcasting the attendance statistics result with the preset duration of the attendance personnel to be recorded to the blockchain network (i.e. step 32), the method further comprises the following steps:
and step 31', determining whether the attendance of the attendance to be recorded is qualified within the preset time length according to the attendance statistical result of the preset time length and a preset third threshold value.
The third threshold is a unit specified daily on duty time, which is typically 8 hours. If the attendance statistic result of the attendance personnel to be recorded within the preset time length is greater than or equal to a third threshold value, determining that the attendance of the attendance personnel to be recorded is qualified within the preset time length; and if the attendance statistical result of the attendance personnel to be recorded within the preset time length is smaller than the third threshold value, determining that the attendance of the attendance personnel to be recorded is unqualified within the preset time length.
When a remote office worker (i.e. a person waiting to record attendance) unlocks the computer equipment, the remote office attendance recording device calls the camera of the computer to acquire an image which can be captured by the current camera area. The remote office attendance recording device judges whether an attendance person to be recorded is contained in an image or not, whether the acquisition time of the image belongs to the common office time period of the attendance person to be recorded or not and whether the attendance person to be recorded executes a preset action or not by taking the sampling time length as a unit, and if so, the attendance person to be recorded is considered to be working and the working time is accumulated. Once the attendance checking personnel to be recorded leave the computer, the sampling time length is finished, and once the attendance checking personnel to be recorded return to the front of the computer (namely, the images containing the attendance checking personnel to be recorded are obtained again), the new sampling time length is started. The remote office attendance recording device records attendance information of attendance personnel to be recorded within each sampling time length within an all-day (24-hour) range, and an all-day attendance statistical result is obtained. And comparing the attendance statistical result of the whole day with the working time (namely a third threshold) required by the unit by the remote office attendance recording device, and determining that the attendance of the person to be recorded is qualified on the current day when the attendance statistical result of the whole day is greater than or equal to the third threshold, or else, determining that the attendance is unqualified. The remote office attendance recording device sends the attendance statistical result of the attendance personnel to be recorded with the preset time length to the block chain in a broadcasting mode, and simultaneously records the attendance statistical result in the block chain account book, all personnel nodes of the same department can check the information on the block chain account book of the department, so that all personnel in the department and the department can see the attendance information of the department, and all the attendance information is public and transparent.
Based on the same technical concept, an embodiment of the present invention further provides a remote office attendance recording apparatus, as shown in fig. 4, the remote office attendance recording apparatus includes an image acquisition module 101 and a first processing module 102, where the image acquisition module 101 is configured to acquire a plurality of images of the attendance person to be recorded within a sampling duration, and the sampling duration starts from the acquisition of the image of the attendance person to be recorded to the time when the image of the attendance person to be recorded is not acquired for the first time and ends when the image of the attendance person to be recorded is not acquired for the first time.
The first processing module 102 is configured to, in response to that the sampling duration is greater than the preset period, determine attendance information of the attendance person to be recorded in the preset period according to the preset period and the acquisition time of each image and preset personalized information of the attendance person to be recorded; and determining the attendance information of the attendance personnel to be recorded within the sampling duration according to the attendance information of the attendance personnel to be recorded within each preset period.
In some embodiments, the personalization information comprises: physical form information and common office hours. The first processing module 102 is configured to match the body shape information of the person in each image in the preset period with the body shape information of the attendance to be recorded to obtain a first matching result, and determine a first score according to the first matching result; matching the acquisition time of each image in the preset period with the common office time period of the attendance personnel to be recorded to obtain a second matching result, and determining a second score according to the second matching result; determining terminal operation information of the attendance checking personnel to be recorded according to the images in the preset period, and determining a third score according to the terminal operation information; and determining attendance information of the attendance checking personnel to be recorded in the preset period according to the first score, the second score and the third score.
In some embodiments, the first processing module 102 is configured to calculate a sum of the first score, the second score and the third score to obtain a total score; and responding to the fact that the total score is larger than a preset first threshold value, and determining that attendance information of the attendance personnel to be recorded in the preset period is valid.
In some embodiments, the first processing module 102 is configured to calculate matching degrees between the body shape information of the person in each image in the preset period and the body shape information of the attendance checking staff to be recorded, and calculate a total matching degree according to the calculated matching degrees; in response to the total matching degree being greater than a preset second threshold, increasing the first score by a preset value; in response to the total match being less than or equal to the second threshold, decreasing the first score by the preset value.
In some embodiments, the first processing module 102 is configured to increase the second score by a preset value in response to that the acquisition time of each image in the preset period belongs to a common office time period of the attendance checking staff to be recorded; and in response to the fact that the obtaining time of at least one image in the preset period does not belong to the common office time period of the attendance checking personnel to be recorded, reducing the second score by the preset value.
In some embodiments, the first processing module 102 is configured to, in response to determining that the attendance checking person to be recorded executes a preset action according to at least one of the images in the preset period, increase the third score by a preset value; and in response to the fact that the attendance checking personnel to be recorded do not execute the preset action according to all the images in the preset period, reducing the third score by the preset value.
In some embodiments, as shown in fig. 5, the remote office attendance recording apparatus further includes a second processing module 103, where the second processing module 103 is configured to count attendance information of the attendance person to be recorded within each sampling duration of a preset duration, so as to obtain an attendance count result of the preset duration; broadcasting the attendance statistics result of the attendance personnel to be recorded with the preset duration to the block chain network.
In some embodiments, the second processing module 103 is further configured to, after obtaining an attendance statistics result with a preset duration, before broadcasting the attendance statistics result with the preset duration of the attendance personnel to be recorded to the blockchain network, determine whether the attendance of the attendance personnel to be recorded is qualified within the preset duration according to the attendance statistics result with the preset duration and a preset third threshold.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and scope of the invention, and such modifications and improvements are also considered to be within the scope of the invention.

Claims (8)

1. A remote office attendance recording method is characterized by comprising the following steps:
acquiring a plurality of images of attendance personnel to be recorded within a sampling time length, wherein the sampling time length is from the acquisition of the images of the attendance personnel to be recorded to the end of the acquisition of the images of the attendance personnel to be recorded for the first time; the attendance personnel to be recorded are remote office personnel;
responding to the fact that the sampling duration is longer than a preset period, and determining attendance information of the attendance personnel to be recorded in the preset period according to the preset period and the images, the acquisition time of the images and preset personalized information of the attendance personnel to be recorded;
according to the attendance information of the attendance person to be recorded in each preset period, determining the attendance information of the attendance person to be recorded in the sampling duration;
counting attendance information of the attendance personnel to be recorded within each sampling time length of the preset time length to obtain an attendance counting result of the preset time length;
the personalized information includes: the method comprises the following steps of determining attendance information of attendance personnel to be recorded in a preset period according to the preset period and the acquisition time of each image and the preset individualized information of the attendance personnel to be recorded, wherein the attendance information comprises the following physical form information and a common office period:
matching the body shape information of the people in each image in the preset period with the body shape information of the attendance to be recorded to obtain a first matching result, and determining a first score according to the first matching result;
matching the acquisition time of each image in the preset period with the common office time period of the attendance checking personnel to be recorded to obtain a second matching result, and determining a second score according to the second matching result;
determining terminal operation information of the attendance checking personnel to be recorded according to the images in the preset period, and determining a third score according to the terminal operation information;
according to the first score, the second score and the third score, determining attendance information of the attendance checking personnel to be recorded in the preset period;
the determining terminal operation information of the attendance checking personnel to be recorded according to the images in the preset period, and determining a third score according to the terminal operation information comprises the following steps:
responding to the fact that the attendance checking personnel to be recorded executes a preset action according to at least one image in the preset period, and increasing a third score by a preset value; in response to the fact that the attendance checking personnel to be recorded do not execute the preset action according to all the images in the preset period, reducing the third score by the preset value;
the terminal operation information may include: at least one of a keyboard operation and a mouse operation.
2. The method of claim 1,
the determining the attendance information of the attendance personnel to be recorded in the preset period according to the first score, the second score and the third score comprises the following steps:
calculating the sum of the first score, the second score and the third score to obtain a total score;
and responding to the fact that the total score is larger than a preset first threshold value, and determining that attendance information of the attendance personnel to be recorded in the preset period is valid.
3. The method of claim 1, wherein the matching of the body shape information of the person in each image in the preset period with the body shape information of the attendance checking person to be recorded to obtain a first matching result, and determining a first score according to the first matching result comprises:
respectively calculating the matching degree of the body shape information of the people in each image in the preset period and the body shape information of the attendance to be recorded, and calculating the total matching degree according to each matching degree obtained through calculation;
in response to the total matching degree being greater than a preset second threshold, increasing the first score by a preset value; in response to the total degree of match being less than or equal to the second threshold, decreasing the first score by the preset value.
4. The method of claim 1, wherein the matching of the acquisition time of each image in the preset period with the common office period of the attendance personnel to be recorded to obtain a second matching result, and determining a second score according to the second matching result comprises:
responding to the fact that the obtaining time of each image in the preset period belongs to the common office time period of the attendance checking personnel to be recorded, and increasing the second score by a preset value; and in response to the fact that the obtaining time of at least one image in the preset period does not belong to the common office time period of the attendance checking personnel to be recorded, reducing the second score by the preset value.
5. The method of any one of claims 1-4, applied to a blockchain network including the present telecommuting attendance recording appliance node and a personnel node, the personnel node being a node of a person in the same department as the attendance person to be recorded, the method further comprising:
broadcasting the attendance statistics result of the attendance personnel to be recorded with the preset duration to the block chain network.
6. The method of claim 5, wherein after obtaining the attendance statistics result for a preset duration, before broadcasting the attendance statistics result for the preset duration of the attendance person to be recorded to a blockchain network, further comprising:
and determining whether the attendance of the attendance person to be recorded is qualified within the preset time length according to the attendance statistical result of the preset time length and a preset third threshold value.
7. The utility model provides a teleworking attendance recorder which characterized in that includes: the system comprises an image acquisition module and a first processing module, wherein the image acquisition module is used for acquiring a plurality of images of an attendance person to be recorded within a sampling time length, and the sampling time length starts from the acquisition of the images of the attendance person to be recorded to the end of the acquisition of the images of the attendance person to be recorded for the first time; the attendance personnel to be recorded are remote office personnel;
the first processing module is used for responding to the fact that the sampling duration is longer than a preset period, and determining attendance information of the attendance personnel to be recorded in the preset period according to the preset period and according to the images, the acquisition time of the images and preset personalized information of the attendance personnel to be recorded; according to the attendance information of the attendance person to be recorded in each preset period, determining the attendance information of the attendance person to be recorded in the sampling duration; counting attendance information of the attendance personnel to be recorded in each sampling time length of the preset time length to obtain an attendance counting result of the preset time length;
the personalized information includes: the first processing module is specifically configured to:
matching the body shape information of the people in each image in the preset period with the body shape information of the attendance to be recorded to obtain a first matching result, and determining a first score according to the first matching result;
matching the acquisition time of each image in the preset period with the common office time period of the attendance personnel to be recorded to obtain a second matching result, and determining a second score according to the second matching result;
determining terminal operation information of the attendance checking personnel to be recorded according to the images in the preset period, and determining a third score according to the terminal operation information;
according to the first score, the second score and the third score, determining attendance information of the attendance checking personnel to be recorded in the preset period;
the determining terminal operation information of the attendance checking personnel to be recorded according to the images in the preset period, and determining a third score according to the terminal operation information comprises the following steps:
responding to the fact that the attendance checking personnel to be recorded executes a preset action according to at least one image in the preset period, and increasing a third score by a preset value; in response to the fact that the attendance checking personnel to be recorded do not execute the preset action according to all the images in the preset period, reducing the third score by the preset value;
the terminal operation information may include: at least one of a keyboard operation and a mouse operation.
8. The device of claim 7, further comprising a second processing module, wherein the second processing module is configured to count attendance information of the attendance person to be recorded within each sampling time duration of the preset time duration to obtain an attendance count result of the preset time duration; broadcasting the attendance statistics result of the attendance personnel to be recorded with the preset duration to a block chain network.
CN202110182950.0A 2021-02-08 2021-02-08 Remote office attendance recording method and device Active CN112950801B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110182950.0A CN112950801B (en) 2021-02-08 2021-02-08 Remote office attendance recording method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110182950.0A CN112950801B (en) 2021-02-08 2021-02-08 Remote office attendance recording method and device

Publications (2)

Publication Number Publication Date
CN112950801A CN112950801A (en) 2021-06-11
CN112950801B true CN112950801B (en) 2022-11-01

Family

ID=76245384

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110182950.0A Active CN112950801B (en) 2021-02-08 2021-02-08 Remote office attendance recording method and device

Country Status (1)

Country Link
CN (1) CN112950801B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114612986A (en) * 2022-03-17 2022-06-10 北京市商汤科技开发有限公司 Detection method, detection device, electronic equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002197240A (en) * 2000-12-25 2002-07-12 Casio Comput Co Ltd Telecommuter management unit and system, and computer readable storage medium
JP2019046047A (en) * 2017-08-31 2019-03-22 キヤノンマーケティングジャパン株式会社 Information processing device, information processing method, and program

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004038366A (en) * 2002-07-01 2004-02-05 Nec Software Chubu Ltd Working hour management system, method, and program
CN104183027B (en) * 2013-05-21 2018-01-23 腾讯科技(深圳)有限公司 A kind of User Status determines method and device
CN105225056A (en) * 2015-10-14 2016-01-06 广州市贺氏办公设备有限公司 A kind of Intelligent Checking on Work Attendance management analysis method
JP6481208B2 (en) * 2016-03-29 2019-03-13 キヤノンマーケティングジャパン株式会社 Information processing apparatus, information processing method, and program
CN106910047A (en) * 2017-03-03 2017-06-30 泸州市众信信息技术有限公司 A kind of efficient attendance checking system of intelligent timing
CN108269316A (en) * 2017-11-28 2018-07-10 北京讯飞乐知行软件有限公司 A kind of offline Work attendance method and device
CN110555349B (en) * 2018-06-01 2023-05-02 杭州海康威视数字技术股份有限公司 Working time length statistics method and device
CN110211251A (en) * 2019-04-26 2019-09-06 珠海格力电器股份有限公司 Face recognition method, face recognition device, storage medium and face recognition terminal
CN111709724A (en) * 2020-08-18 2020-09-25 北京志翔科技股份有限公司 Deep attendance checking method and system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002197240A (en) * 2000-12-25 2002-07-12 Casio Comput Co Ltd Telecommuter management unit and system, and computer readable storage medium
JP2019046047A (en) * 2017-08-31 2019-03-22 キヤノンマーケティングジャパン株式会社 Information processing device, information processing method, and program

Also Published As

Publication number Publication date
CN112950801A (en) 2021-06-11

Similar Documents

Publication Publication Date Title
CN110222640A (en) Monitor recognition methods, device, method and the storage medium of suspect in place
CN105205646A (en) Automatic roll call system and realization method thereof
CN105719357B (en) Recognition of face class hour calculation method, apparatus and system
CN207895501U (en) Automatic roll-calling device for prison
CN113411542A (en) Intelligent working condition monitoring equipment
CN112418091B (en) Big data-based smart campus security data processing method
CN106710020A (en) Intelligent attendance checking method and system
CN112950801B (en) Remote office attendance recording method and device
CN106845916A (en) A kind of intelligent APP attendance management and method for monitoring state based on water purifier
CN112349016A (en) Intelligent access control system based on big data analysis
CN108875989A (en) Reservation method and device based on face recognition, computer equipment and storage medium
CN111970471B (en) Conference participant scoring method, device, equipment and medium based on video conference
CN113610488A (en) Engineering project attendance management system and project cost accounting method
CN113762106A (en) Face recognition method and device, electronic equipment and storage medium
CN112241687A (en) Face recognition method and system with strange face library function
CN114420302A (en) Intelligent epidemic prevention control system for enterprises and public institutions
CN109345427A (en) The classroom video point of a kind of combination recognition of face and pedestrian's identification technology is to method
CN112102530B (en) Campus Internet of things intelligent cloud lock management system
CN109767196A (en) A kind of intelligent attendance system
CN112258707A (en) Intelligent access control system based on face recognition
CN110544041B (en) Employee data management system for financial consulting company
CN109801394B (en) Staff attendance checking method and device, electronic equipment and readable storage medium
CN115471921B (en) Laboratory attendance evaluation management system and method
CN115830732A (en) Attendance checking method and system based on big data analysis
CN110969713A (en) Attendance statistics method, device and system and readable storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant