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CN117633289A - Informationized service management system based on face recognition - Google Patents

Informationized service management system based on face recognition Download PDF

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Publication number
CN117633289A
CN117633289A CN202310877485.1A CN202310877485A CN117633289A CN 117633289 A CN117633289 A CN 117633289A CN 202310877485 A CN202310877485 A CN 202310877485A CN 117633289 A CN117633289 A CN 117633289A
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medicine taking
medicine
supervision
taking
time
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尹文治
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Shaoyang Aerospace Changfeng Information Technology Co ltd
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Shaoyang Aerospace Changfeng Information Technology Co ltd
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Publication of CN117633289A publication Critical patent/CN117633289A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/71Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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    • G06F16/7837Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
    • G06F16/784Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content the detected or recognised objects being people
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7847Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/7867Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6227Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/62Extraction of image or video features relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G16H20/13ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered from dispensers

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Abstract

The invention relates to the technical field of computers, and discloses an informationized business management system based on face recognition so as to improve traceability, reliability and intelligence. The system of the invention comprises: the medicine cabinet intelligent terminal is in data communication connection with the face comparison server, the medicine taking monitoring terminal is in data communication connection with the medicine taking monitoring server, and the medicine taking monitoring server is in data communication connection with the management client and the medicine cabinet intelligent terminal in pairs. Video information, operation logs and the like acquired and stored by each device enable the whole system to have good traceability, related data are difficult to tamper by people, and reliability and intelligence of the system are improved.

Description

Informationized service management system based on face recognition
Technical Field
The invention relates to the technical field of computers, in particular to an informationized service management system based on face recognition.
Background
In some specific scenes, the medicines are taken as important 'safe' materials, the medicines are eaten by strict objects, the supervision and management are carried out, a long-acting mechanism for medicine taking safety management is constructed, and the safety of the foods, the medicines and the medicines of the objects is practically ensured.
Thus, administration management for subjects is an important point of health management work in some specific scenarios. The traditional medicine taking supervision and management mode is characterized in that a medicine taking supervision manager regularly takes and confirms the medicine to be dispensed in person, and the object signs and confirms after taking the medicine, so that the problems that the medicine taking supervision manager is subject to transition dependence, the evidence of the process cannot be stored, the medicine taking record cannot be traced and the like exist.
Disclosure of Invention
The invention aims to disclose an informationized service management system based on face recognition so as to improve traceability, reliability and intelligence.
In order to achieve the above object, the information service management system based on face recognition disclosed by the invention comprises:
the medicine cabinet intelligent terminal is in data communication connection with the face comparison server, the medicine taking monitoring terminal is in data communication connection with the medicine taking monitoring server, and the medicine taking monitoring server is in data communication connection with the management client and the medicine cabinet intelligent terminal in pairs;
the intelligent terminal of the medicine cabinet is used for interacting with the face comparison server to judge whether an operator is a medicine taking supervision manager with authority, if so, storing medicines of corresponding medicine taking objects in grids according to related operation information, and storing one-to-one correspondence between each grid and the medicine taking objects;
the management client is used for establishing a mapping relation between a medicine taking supervision manager and a medicine taking object; recording medical records of the medicine taking objects and setting distribution information of the medicine taking time period;
the medicine taking supervision server is used for configuring corresponding medicine taking supervision tasks corresponding to the medicine taking supervision administrators according to the configuration information of the management client, and interacting with the medicine cabinet intelligent terminal and the medicine taking supervision terminal to track the completion condition of each medicine taking supervision task;
the taking supervision terminal is used for collecting videos of the taking object and a taking supervision administrator in the taking process after collecting and identifying the face image of the taking object, and uploading the collected videos to the service supervision server as a certificate after the taking is finished;
the face comparison server is used for classifying and storing standard face images used for comparison between the medicine taking objects and the medicine taking supervision manager; and judging whether the face image acquired by the interaction end is matched with the face image of the corresponding medicine taking object or the reference of the medicine taking supervision manager, and returning a corresponding comparison result.
Preferably, the intelligent terminal of the medicine cabinet is also used for collecting an operation video of a medicine taking supervision manager and sending the operation video to the medicine taking supervision server; the medicine taking monitoring server is also used for searching and intercepting a medicine taking segment corresponding to the medicine taking object from the operation video according to the opening and closing time stamp information of each grid in the log of the intelligent terminal of the medicine cabinet in a historical time period set before the start time of the medicine taking process video after receiving the medicine taking process video of the medicine taking object; the start time of the medicine taking segment is the first opening time of the grid corresponding to the medicine taking object, and the end time of the medicine taking segment is the last closing time of the grid corresponding to the medicine taking object.
Preferably, the medicine taking supervision server is further configured to perform end-section cutting on a medicine taking process video, and specifically includes:
calculating the included angle between the upper arm and the forearm of the same arm of the medicine taking object in each video frame one by one according to the traversing sequence of the video frame time stamps from back to front, judging whether the vertical distance between the forearm extending direction and the face is smaller than a set second threshold value when the included angle is smaller than a set first threshold value, if so, determining the moment corresponding to the current video frame as the shearing time of the hands leaving the mouth after taking medicine, stopping traversing and deleting each video frame after the shearing time.
Further, the medicine taking supervision server is further used for performing front-section cutting on the medicine taking process video, and specifically comprises the following steps:
calculating the included angle between the upper arm and the forearm of the same arm of the medicine taking object in each video frame one by one according to the traversal sequence of the video frame time stamps from front to back, judging whether the vertical distance between the forearm extending direction and the face is smaller than a set second threshold value when the included angle is smaller than a set first threshold value, if so, determining that the moment corresponding to the current video frame is the shearing time of the hand approaching the mouth when the medicine taking starts, stopping traversal, and deleting each video frame before the shearing time.
In the calculation process, the actual distances respectively corresponding to the adjacent pixels in the horizontal direction and the vertical direction are estimated according to the actual length and width range of the face and the number of pixels.
The invention has the following beneficial effects:
1. the operation of each functional device is clear, the cooperative efficiency is high, and the reliability of the system is ensured.
2. Video information, operation logs and the like acquired and stored by each device enable the whole system to have good traceability, related data are difficult to tamper by people, and reliability and intelligence of the system are improved.
3. The system can automatically configure the medicine taking supervision task corresponding to the corresponding medicine taking supervision manager according to the recorded information such as the mapping relation between the medicine taking supervision manager and the medicine taking object, the medical records of the medicine taking object, the distribution of the medicine taking time period and the like, track the completion condition of each medicine taking supervision task, and can automatically assist the medicine taking supervision business to accurately complete on time, quality and quantity.
The invention will be described in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
fig. 1 is a schematic diagram of an information service management system based on face recognition according to an embodiment of the present invention.
Detailed Description
Embodiments of the invention are described in detail below with reference to the attached drawings, but the invention can be implemented in a number of different ways, which are defined and covered by the claims.
Example 1
The embodiment discloses an informationized service management system based on face recognition, as shown in fig. 1, comprising:
the medicine cabinet intelligent terminal is in data communication connection with the face comparison server, the medicine taking monitoring terminal is in data communication connection with the medicine taking monitoring server, and the medicine taking monitoring server is in data communication connection with the management client and the medicine cabinet intelligent terminal in pairs. The face comparison server is used for classifying and storing standard face images used for comparison between the medicine taking objects and the medicine taking supervision manager; and judging whether the face image acquired by the interaction end (comprising a medicine cabinet intelligent terminal, a medicine taking monitoring terminal and the like) is matched with the face image of a corresponding medicine taking object or a medicine taking monitoring manager reference, and returning a corresponding comparison result.
In this embodiment, the medicine cabinet intelligent terminal is used for interacting with the face comparison server to determine whether an operator is a medicine taking supervision administrator with authority, and if so, storing medicines of corresponding medicine taking objects in grids according to related operation information, and storing one-to-one correspondence between each grid and the medicine taking objects.
The method comprises the steps that based on the classification of a face comparison server, standard face images used for comparison between a medicine taking object and a medicine taking supervision manager are stored, and when the medicine cabinet intelligent terminal is interacted with, only a standard face image database where the medicine taking supervision manager is located needs to be traversed; when the medicine taking supervision terminal is used for verifying the identity information among the medicine taking objects, only the standard face image database where the medicine taking objects are located needs to be traversed. Thereby effectively improving the face comparison efficiency.
In this embodiment, the management client is configured to establish a mapping relationship between a medication administration supervision administrator and a medication administration object; and recording medical records of the medicine taking objects and setting distribution information of the medicine taking time period. Preferably, the management client specifically inputs the following three types of data information:
first class, object information; for example: object name, photograph, number, identification card number, object surveillance zone, etc.
The second type, administration supervision manager information; for example: such as name, photograph, identification number, jurisdiction, etc.
Third class, subject health information, for example: condition information, medication information, administration time, etc.
In this embodiment, the administration monitoring terminal is configured to collect and identify a face image of an administration subject, collect videos of the administration subject and an administration monitoring administrator during administration, and upload the collected videos to the service monitoring server as a certificate after administration is completed. Correspondingly, the medicine taking supervision server is used for configuring the medicine taking supervision tasks corresponding to the corresponding medicine taking supervision administrators according to the configuration information of the management client, and interacting with the medicine cabinet intelligent terminal and the medicine taking supervision terminal to track the completion condition of each medicine taking supervision task.
Further, the intelligent terminal of the medicine cabinet is also used for collecting operation videos of a medicine taking supervision manager and sending the operation videos to the medicine taking supervision server. Correspondingly, the medicine taking supervision server is further configured to, after receiving a medicine taking process video of a medicine taking object, search and intercept a medicine taking segment corresponding to the medicine taking object from the operation video according to the opening and closing timestamp information of each grid in a medicine cabinet intelligent terminal log (generally, after determining identity information of the medicine taking object, search a grid of the medicine taking object in the medicine cabinet intelligent terminal, and search the opening and closing timestamp information of the grid in the set historical time period) in a historical time period set before the start time of the medicine taking process video (the start time and the stop time of the time period can be set to be after the end time of the last medicine taking time period, and in particular, the maximum time interval between medicine taking and medicine taking can be reasonably set according to a statistical experience value); the start time of the medicine taking segment is the first opening time of the grid corresponding to the medicine taking object, and the end time of the medicine taking segment is the last closing time of the grid corresponding to the medicine taking object. Further, the medicine taking supervision server is further used for automatically generating a medicine taking form of a corresponding medicine taking object according to the start-stop time of the medicine taking segment and the start-stop time of the medicine taking process video.
In this embodiment, preferably, the start and stop of the video acquisition in the process of taking medicine by the above-mentioned medicine taking monitor terminal may manually input instructions through corresponding keys of the touch screen, so as to establish a one-to-one correspondence with the medicine taking object. In a specific implementation process, the medicine taking monitoring terminal can be deployed in public areas such as a businessman, and the medicine taking monitoring manager brings medicine taking objects and medicines in the medicine taking time, and completes the whole medicine taking process before the medicine taking monitoring terminal. Preferably, in the process of taking medicine, a mode of taking medicine one by one according to a medicine taking object is adopted, namely: after the current medicine taking object finishes the whole medicine taking process, calling the next medicine taking object, so that the generation of mismatch between medicine and the medicine taking object and the mismatch between the medicine taking object and the medicine taking process video can be avoided; further improving the stability and reliability of the system.
Further, based on the control manner described in the previous paragraph, due to the hysteresis of the manual touch keys, redundant parts exist in the front section and the tail end of the video in the medicine taking process, so that the waste of the video data storage space is easily caused. For this purpose, the medication administration supervision server is preferably further configured to perform end-cut on the medication administration process video, and specifically includes:
calculating the included angle between the upper arm and the forearm of the same arm of the medicine taking object in each video frame one by one according to the traversing sequence of the video frame time stamps from back to front, judging whether the vertical distance between the forearm extending direction and the face is smaller than a set second threshold value when the included angle is smaller than a set first threshold value, if so, determining the moment corresponding to the current video frame as the shearing time of the hands leaving the mouth after taking medicine, stopping traversing and deleting each video frame after the shearing time.
Based on the same principle, the medicine taking supervision server of the embodiment can be further used for performing front section cutting on the medicine taking process video, and specifically comprises the following steps:
calculating the included angle between the upper arm and the forearm in the same arm of the medicine taking object in each video frame one by one according to the traversal sequence of the video frame time stamps from front to back, judging whether the vertical distance between the forearm extending direction and the face is smaller than a set second threshold value when the included angle is smaller than a set first threshold value, if so, determining that the moment corresponding to the current video frame is the shearing time of the hand approaching the mouth when the medicine taking starts, stopping traversal and deleting each video frame before the shearing time;
in the above calculation process, the actual distances respectively corresponding to the adjacent pixels in the horizontal direction and the vertical direction can be estimated according to the actual length and width range of the face and the number of pixels. The first threshold and the second threshold can be reasonably set according to corresponding statistical experience values; preferably, in a more refined management, the first and second thresholds to which they individually correspond may also be calibrated for each dosing object, respectively.
In the processing process of the machine vision, the medicine taking start and end actions can be accurately captured through reasonable sequencing of the traversal process, combined screening of the first threshold value and the second threshold value and reasonable stopping conditions so as to avoid false deletion.
Based on the architecture shown in fig. 1, the system of this embodiment may further extend the following functions:
A. and an overview of the condition of the medicine taking object is provided, so that a command center and a leader can quickly master the health condition of the corresponding object.
B. Tracking the taking progress of the taking object, displaying personnel information of the taking object, and timely reminding abnormality such as untimely taking and the like.
C. Providing medicine management function, displaying medicine consumption in real time, assisting medicine management, etc.
In summary, the face recognition-based informationized service management system disclosed in the above embodiment of the present invention at least has the following
The beneficial effects are that:
1. the operation of each functional device is clear, the cooperative efficiency is high, and the reliability of the system is ensured.
2. Video information, operation logs and the like acquired and stored by each device enable the whole system to have good traceability, related data are difficult to tamper by people, and reliability and intelligence of the system are improved.
3. The system can automatically configure the medicine taking supervision task corresponding to the corresponding medicine taking supervision manager according to the recorded information such as the mapping relation between the medicine taking supervision manager and the medicine taking object, the medical records of the medicine taking object, the distribution of the medicine taking time period and the like, track the completion condition of each medicine taking supervision task, and can automatically assist the medicine taking supervision business to accurately complete on time, quality and quantity.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (5)

1. An informationized business management system based on face recognition, comprising:
the medicine cabinet intelligent terminal is in data communication connection with the face comparison server, the medicine taking monitoring terminal is in data communication connection with the medicine taking monitoring server, and the medicine taking monitoring server is in data communication connection with the management client and the medicine cabinet intelligent terminal in pairs;
the intelligent terminal of the medicine cabinet is used for interacting with the face comparison server to judge whether an operator is a medicine taking supervision manager with authority, if so, storing medicines of corresponding medicine taking objects in grids according to related operation information, and storing one-to-one correspondence between each grid and the medicine taking objects;
the management client is used for establishing a mapping relation between a medicine taking supervision manager and a medicine taking object; recording medical records of the medicine taking objects and setting distribution information of the medicine taking time period;
the medicine taking supervision server is used for configuring corresponding medicine taking supervision tasks corresponding to the medicine taking supervision administrators according to the configuration information of the management client, and interacting with the medicine cabinet intelligent terminal and the medicine taking supervision terminal to track the completion condition of each medicine taking supervision task;
the taking supervision terminal is used for collecting videos of the taking object and a taking supervision administrator in the taking process after collecting and identifying the face image of the taking object, and uploading the collected videos to the service supervision server as a certificate after the taking is finished;
the face comparison server is used for classifying and storing standard face images used for comparison between the medicine taking objects and the medicine taking supervision manager; and judging whether the face image acquired by the interaction end is matched with the face image of the corresponding medicine taking object or the reference of the medicine taking supervision manager, and returning a corresponding comparison result.
2. The system of claim 1, wherein the medication cabinet intelligent terminal is further configured to collect an operation video of a medication administration supervision manager and send the operation video to the medication administration supervision server;
the medicine taking monitoring server is also used for searching and intercepting a medicine taking segment corresponding to the medicine taking object from the operation video according to the opening and closing time stamp information of each grid in the log of the intelligent terminal of the medicine cabinet in a historical time period set before the start time of the medicine taking process video after receiving the medicine taking process video of the medicine taking object; the start time of the medicine taking segment is the first opening time of the grid corresponding to the medicine taking object, and the end time of the medicine taking segment is the last closing time of the grid corresponding to the medicine taking object.
3. The system of claim 2, wherein the medication administration monitoring server is further configured to automatically generate a medication form for the corresponding medication object based on the start-stop time of the medication intake segment and the start-stop time of the medication process video.
4. A system according to any one of claims 1 to 3, wherein the medication administration supervision server is further configured to perform end-cut on the medication administration process video, and specifically comprises:
calculating included angles between the upper arm and the forearm of the same arm of a medicine taking object in each video frame one by one according to the traversal sequence of the video frame time stamps from back to front, judging whether the vertical distance between the forearm extending direction and the face is smaller than a set second threshold value when the included angles are smaller than a set first threshold value, if so, determining that the moment corresponding to the current video frame is the shearing time when the hand leaves the mouth after taking medicine, stopping traversing and deleting each video frame after the shearing time;
in the calculation process, the actual distances respectively corresponding to the adjacent pixels in the horizontal direction and the vertical direction are estimated according to the actual length and width range of the face and the number of pixels.
5. A system according to any one of claims 1 to 3, wherein the medication administration supervision server is further configured to perform a front-end cut on the medication administration process video, and specifically comprises:
calculating the included angle between the upper arm and the forearm in the same arm of the medicine taking object in each video frame one by one according to the traversal sequence of the video frame time stamps from front to back, judging whether the vertical distance between the forearm extending direction and the face is smaller than a set second threshold value when the included angle is smaller than a set first threshold value, if so, determining that the moment corresponding to the current video frame is the shearing time of the hand approaching the mouth when the medicine taking starts, stopping traversal and deleting each video frame before the shearing time;
in the calculation process, the actual distances respectively corresponding to the adjacent pixels in the horizontal direction and the vertical direction are estimated according to the actual length and width range of the face and the number of pixels.
CN202310877485.1A 2023-07-17 2023-07-17 Informationized service management system based on face recognition Pending CN117633289A (en)

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