CN106254539B - Mobile equipment and time-use monitoring system and method based on biological feature recognition - Google Patents
Mobile equipment and time-use monitoring system and method based on biological feature recognition Download PDFInfo
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- CN106254539B CN106254539B CN201610848474.0A CN201610848474A CN106254539B CN 106254539 B CN106254539 B CN 106254539B CN 201610848474 A CN201610848474 A CN 201610848474A CN 106254539 B CN106254539 B CN 106254539B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/197—Matching; Classification
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
Abstract
the invention discloses a time-consuming monitoring system of mobile equipment based on biological feature recognition, the mobile equipment is connected with a cloud database at a network side and transmits data, and the mobile equipment comprises: the image acquisition and identification module is used for identifying the biological characteristics of the user when the mobile equipment is used and sending the biological characteristics to the cloud database for comparison; and the management control module controls the time length and/or the time period of the mobile equipment used by the user according to the comparison result fed back by the cloud database, and monitors the time consumption of the user in real time according to the time length and/or the time period so as to control the mobile equipment. The invention also discloses a time-use monitoring method based on the biological characteristic identification and mobile equipment. Compared with the prior art, the method has the advantages that the biological characteristics of the user are identified by utilizing an image identification technology, and the time lengths of all mobile devices are timed to obtain the statistical condition of the time lengths of single-user multiple devices; and reminding or limiting the use authority according to the accumulated time length.
Description
Technical Field
the invention relates to the technical field of mobile equipment, in particular to mobile equipment and a time-use monitoring system and method based on biological feature recognition.
background
With the advancement and development of technology, people's daily work and life are almost surrounded by various electronic devices (such as televisions, computers, tablets, mobile terminal devices, etc.). They greatly facilitate the work and life of people. However, along with the development, the entertainment content of the electronic device becomes richer and richer, and in the face of the luring of rich entertainment content, it is difficult for users to grasp the use time of the device, especially in the young group, that is, what is commonly called "low head". Physical and psychological problems resulting from the use of these electronic products for a long time have also come to follow. In recent years, cloud service technology has gradually emerged, and a large number of various different types of storage devices in a network are integrated and cooperatively work through application software in cloud storage, so that data storage and service access functions are provided for the outside. Meanwhile, the image recognition technology has been rapidly developed in recent years, and the role of the image recognition technology in various industries is increased. Although there are related technologies to limit or remind users by counting their usage time, most of them cannot monitor a single user and multiple devices for a single electronic device.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a mobile device and a time-use monitoring system and method based on biological feature recognition thereof.
the invention provides a time monitoring system of mobile equipment based on biological feature recognition, the mobile equipment is connected with a cloud database at a network side and transmits data, and the mobile equipment comprises:
the image acquisition and identification module is used for identifying biological characteristics of a user when the user uses the mobile equipment, and sending the biological characteristics to the cloud database when the biological characteristics are identified so as to compare the biological characteristics with a biological characteristic library prestored in the cloud database;
and the management control module is used for controlling the time length and/or the time period of the mobile equipment used by the user according to the comparison result fed back by the cloud database, and monitoring the time consumption of the user in real time according to the time length and/or the time period so as to control the mobile equipment.
Further, the biometric features include face features, iris features, and/or fingerprint features.
Furthermore, the mobile device further comprises a timing statistic module for timing when the user uses the mobile device, and performing continuous timing or time-span timing when the image acquisition and identification module identifies the biological characteristics of the same user for multiple times in real time so as to judge the time length of the user.
further, the management control module is further configured to turn off, sleep and/or shield the operation of the mobile device when it is determined that the time duration used by the user is reached or when it is determined that the time duration used by the user is not allowed.
further, the management control module is further configured to limit or prohibit the usage right of the user when the comparison result fed back by the cloud database indicates that the biometric feature of the user does not exist in the biometric feature library.
further, when the biological characteristic is a human face characteristic or an iris characteristic, the image acquisition and identification module is a camera, and when the biological characteristic is a fingerprint characteristic, the image acquisition and identification module is a fingerprint identification device.
the invention also provides a time monitoring method of the mobile equipment based on biological feature recognition, the mobile equipment is connected with a cloud database at a network side and transmits data, and the method comprises the following steps:
when a user uses the mobile device, the biological characteristics of the user are identified, and when the biological characteristics are identified, the biological characteristics are sent to the cloud database so as to be compared through a biological characteristic library pre-stored in the cloud database;
And controlling the time length and/or the time period of the mobile equipment used by the user according to the comparison result fed back by the cloud database, and monitoring the time consumption of the user in real time according to the time length and/or the time period so as to control the mobile equipment.
further, the biometric features comprise face features, iris features and/or fingerprint features, wherein the step of identifying the biometric features of the user while the user is using the mobile device comprises: the face features or iris features are identified through a camera, or the fingerprint features are identified through a fingerprint identification device.
further, the method further comprises:
timing when the user uses the mobile equipment, and continuously timing or time-span timing when the biological characteristics of the same user are identified for multiple times in real time so as to judge the time length of the user; when the time length used by the user is judged to be up or the time period not allowed to be used is judged, the operation of the mobile equipment is closed, dormant and/or shielded;
and when the comparison result fed back by the cloud database indicates that the biological characteristics of the user do not exist in the biological characteristic library, limiting or forbidding the use permission of the user.
the invention also provides a mobile device comprising the time-of-use monitoring system based on the biological characteristic recognition.
Compared with the prior art, the method takes two technologies of a network server side (cloud database) and image recognition as backgrounds, and utilizes the image recognition technology to recognize the biological characteristics of the user; then, timing the time lengths of all the mobile devices used by the user according to the biological characteristics of the user, and synchronizing the timing result into a cloud database to obtain the statistical condition of the time lengths of the single-user multi-device; and finally, reminding or limiting the user using permission according to the accumulated time length of all the devices of the user information in the cloud server, thereby realizing the reminding function.
Drawings
FIG. 1 is a block diagram of a biometric-based time monitoring system according to the present invention.
FIG. 2 is a flow chart of a time monitoring method based on biometric identification according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
The time-use monitoring system based on the biological feature recognition can comprise a plurality of client sides (mobile devices) and a network server side (cloud database), wherein the mobile devices are connected with the cloud database through a network and transmit data, and the mobile devices comprise but are not limited to mobile phones, tablets, PCs, multimedia devices with networking functions and the like.
The mobile device is connected with a cloud database of a network side and transmits data, and the mobile device comprises:
the image acquisition and identification module is used for identifying biological characteristics of a user when the user uses the mobile equipment, and sending the biological characteristics to the cloud database when the biological characteristics are identified so as to compare the biological characteristics with a biological characteristic library prestored in the cloud database;
The management control module is used for controlling the time length and/or the time period of the mobile equipment used by the user according to the comparison result fed back by the cloud database, and monitoring the time consumption of the user in real time according to the time length and/or the time period so as to control the mobile equipment; the mobile terminal is used for turning off, sleeping and/or shielding the operation of the mobile equipment when the time length used by a user is judged to be up or the time period not allowed to be used is judged; and the cloud database is also used for limiting or forbidding the use permission of the user when the comparison result fed back by the cloud database indicates that the biological characteristics of the user do not exist in the biological characteristic library.
The mobile device further comprises a timing statistic module which is used for timing when the user uses the mobile device and continuously timing or time-span timing when the image acquisition and identification module identifies the biological characteristics of the same user for multiple times in real time so as to judge the time length of the user.
The biological characteristics comprise human face characteristics, iris characteristics and/or fingerprint characteristics, wherein when the biological characteristics are the human face characteristics or the iris characteristics, the image acquisition and identification module is a camera, and when the biological characteristics are the fingerprint characteristics, the image acquisition and identification module is a fingerprint identification device.
The invention discloses a time monitoring method of mobile equipment based on biological feature recognition, wherein the mobile equipment is connected with a cloud database at a network side and transmits data, and the method comprises the following steps:
When a user uses the mobile device, the biological characteristics of the user are identified, and when the biological characteristics are identified, the biological characteristics are sent to the cloud database so as to be compared through a biological characteristic library pre-stored in the cloud database;
controlling the time length and/or the time period of the mobile equipment used by the user according to the comparison result fed back by the cloud database, and monitoring the time consumption of the user in real time according to the time length and/or the time period so as to control the mobile equipment;
The method further comprises the following steps:
Timing when the user uses the mobile equipment, and continuously timing or time-span timing when the biological characteristics of the same user are identified for multiple times in real time so as to judge the time length of the user; when the time length used by the user is judged to be up or the time period not allowed to be used is judged, the operation of the mobile equipment is closed, dormant and/or shielded;
and when the comparison result fed back by the cloud database indicates that the biological characteristics of the user do not exist in the biological characteristic library, limiting or forbidding the use permission of the user.
the above method, where the biometric features include face features, iris features and/or fingerprint features, and where the step of identifying the biometric features of the user while the user is using the mobile device is as follows: the face features or iris features are identified through a camera, or the fingerprint features are identified through a fingerprint identification device.
As shown in fig. 1, as an embodiment of the time monitoring system based on biometric recognition of the mobile device of the present invention, the biometric features are facial features, including but not limited to facial features and facial features of the user; relative distance characteristics of any combination of eyes, eyebrows, mouth, ears, and nose; and the user's specific nevus, etc., and the present invention is not particularly limited.
The mobile device of the time-consuming monitoring system specifically comprises the following modules:
The data interaction module is used for providing a human-computer interaction interface, and a user sets data parameters through the human-computer interaction interface; the data parameters comprise time setting of effective biological characteristics, entry of biological characteristics of a user, setting of next behaviors of the user equipment end after user operation reaches set time, wherein the setting of the next behaviors of the user equipment end comprises but is not limited to limiting the use permission of the user and limiting the use time, or only prompts the user that the use time is too long, attention should be paid to the user, and the user determines whether to continue using the equipment or not and limits the use time; the user can set the data parameters according to the requirements;
the image acquisition and identification module is used for acquiring and identifying the human face characteristics of the user when the user uses the mobile equipment; the acquisition and the recognition of the face features of the user are realized by adopting a face recognition method in the prior art, and after the face features are recognized by the image acquisition and recognition module, the face features are sent to the management control module; the acquisition device in the image acquisition identification module can be a front camera of the mobile equipment or an image acquisition device externally connected with the mobile equipment; the recognition includes two functions of image processing and image recognition. The image processing, as the name implies, is to process the collected human face features, and aims to extract the human face features of the user, and adopts a specific image processing algorithm, wherein the image processing algorithm is carried out by adopting an image processing algorithm in the prior art, and the invention is not particularly limited;
the timing counting module is used for timing when the user uses the mobile equipment, the timing can be continuous timing or time-span timing, and a timing result (time length) is sent to the management control module; it also receives the timing instruction sent by the management control module to start timing the use time length of the mobile device used by the user; each face feature distinguishes users, and each user has a corresponding timer (timing statistic module);
the management control module is used for comparing the human face features sent by the image acquisition and recognition module with the user information stored in the cloud database through the data synchronization module, and if the user information with the same human face features as the sent human face features exists in the cloud database, sending a timing instruction to the timing statistics module; if the user information with the same face characteristics as the sent face information does not exist in the cloud database, new user information can be established, the new user information is synchronized to the cloud database through the data synchronization module, and a timing instruction is sent to the timing counting module; the management control module also prompts the user or limits the use authority of the user by the prompt information sent by the trigger module through the data interaction module; it can also control and manage the user device; the user information comprises a face feature which is input for the first time, accumulated time length and a data parameter input by a user;
The data synchronization module has a user data synchronization function and is used for sending the human face characteristics sent by the management control module and the time length of the user using the mobile equipment to the cloud database for synchronization and receiving the timing instruction sent by the management control module and the prompt information sent by the trigger module; the cloud database backup method is also used for sending the data parameters of the user to the user information corresponding to the cloud database for backup or receiving the data parameters of the user backup in the cloud database. The data synchronization module can synchronize information such as the use time length and data parameters of a user on a plurality of mobile devices to user information corresponding to the cloud database for backup through the data synchronization module, and can also synchronize data or control commands of the user in the cloud database to local mobile devices.
the cloud database specifically comprises:
a cloud storage module: the system comprises a data synchronization module, a storage management control module, a cloud storage module and a data storage module, wherein the data synchronization module is used for storing user information, the storage management control module is used for receiving data parameters and new user information sent by the data synchronization module, receiving the time length of each time that a user uses mobile equipment from a timing accumulation module and storing the time length into the corresponding user information, each user information is respectively stored in an independent storage area divided by the cloud storage module, and the cloud storage module establishes a corresponding storage area to form a biological feature library after receiving the new user information sent by the management control module;
The timing accumulation module is used for accumulating the time length of the mobile equipment used sent by the data synchronization module each time and the accumulated time length in the corresponding user information stored in the cloud storage module, and sending the result to the corresponding user information in the cloud storage module for updating and sending to the trigger module for monitoring; the accumulation is preferably serial accumulation, the serial accumulation is based on time, when a user uses a plurality of mobile devices at the same time, the mobile device with the longest use time is used as the standard, for example, when the user uses two mobile devices A and B at the same time, the timing at the time is only based on the longer time of the two mobile devices A and B, and the time for using the device A and the device B at the same time is not repeatedly calculated;
The system also comprises a triggering module, preferably arranged in the cloud database, and used for monitoring whether the time length of all mobile devices used by the same user reaches a limited time length in a timing statistical period after accumulation, if so, a prompt instruction is sent to a management control module of the user through the data synchronization module, and if not, the monitoring is continued; the prompt instruction can be simultaneously sent to each user equipment end used by the user at the same time, and the timing statistical period can be set by the user in one day, two days or one week.
The mobile device of the present invention is provided with the above-mentioned time-use monitoring system based on biometric feature recognition, and the monitoring system is the same as the above-mentioned description of fig. 1, and therefore, the description thereof is omitted.
As shown in fig. 2, a time monitoring method based on biometric identification for mobile devices includes, but is not limited to, the following steps:
Step one, S101, initializing, reading (cloud) corresponding user information from a cloud database, and initializing a system;
step two S102, carrying out facial image collection and recognition on the face of a user to form human face characteristics, wherein the facial image collection and recognition are realized by adopting a face recognition method in the prior art;
step three, S103, judging whether the human face characteristics of the user have related user information in a cloud database; if yes, entering a sixth step S106, otherwise, entering a fourth step S104; the user information comprises the face features which are input for the first time, the accumulated time length and data parameters input by the user;
step four, S104, inputting user information, synchronizing the user information to a cloud database, dividing a storage area in the cloud database, and distributing a corresponding timer;
Step five S105, using the distributed timer to start timing the use time of all the devices of the user, and simultaneously executing step two S102;
Step six S106, judging whether the time length accumulated in a timing statistic period in the cloud database by the user exceeds the set limited time length, if so, entering step seven, and if not, entering step eight;
step seven S107, limiting all devices used by the user;
and step eight S108, continuing timing, synchronizing the time length used by the user to the cloud database for accumulation, and repeating the step two S102 until the time used by the user reaches the limited time length.
in step six S106, the accumulation is preferably serial accumulation, where the serial accumulation is based on time, and when a user uses a plurality of mobile devices at the same time, the mobile device with the longest used time length is used as the criterion, for example, when the user uses two mobile devices a and B at the same time, the timing at this time is based on the longer time of the two mobile devices a and B, and the time used by the device a and the device B at the same time is not repeatedly calculated.
In step six S106, the timing statistical period may be one day, two days, or one week, and may be set by the user.
in step seven S107, the manner of limiting all devices used by the user may be to prompt or limit the usage right of the user.
According to the invention, the time consumption monitoring is carried out on a plurality of mobile devices under the same user, so that the situation that the user replaces different mobile devices for use can be avoided, and the monitoring is avoided; the biometric identification is adopted, the problem that the time length used by the current user is calculated by mistake when different users use the same equipment can be solved, the privacy is stronger, the user can enter the time monitoring system for use without manual operation login, and the time monitoring system is particularly suitable for limiting the electronic game time of teenagers or children.
while the invention has been shown and described with reference to certain embodiments, those skilled in the art will understand that: various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
Claims (9)
1. a time monitoring system of mobile equipment based on biological feature recognition is characterized in that: the mobile device is connected with a cloud database of a network side and transmits data, and the mobile device comprises:
The image acquisition and identification module is used for identifying biological characteristics of a user when the user uses the mobile equipment, and sending the biological characteristics to the cloud database when the biological characteristics are identified so as to compare the biological characteristics with a biological characteristic library prestored in the cloud database;
The management control module is used for controlling the time length and/or the time period of the mobile equipment used by the user according to the comparison result fed back by the cloud database, and monitoring the time consumption of the user in real time according to the time length and/or the time period so as to control the mobile equipment,
the data synchronization module is used for transmitting the human face characteristics sent by the management control module and the time length of the user using the mobile equipment to the cloud database for synchronization, receiving the timing instruction sent by the management control module and the information sent by the cloud database,
the cloud database comprises:
The cloud storage module is used for storing user information, storing data parameters and new user information sent by the management control module through the data synchronization module, receiving the time length of each time that the user uses the mobile equipment sent by the timing accumulation module and storing the time length into the corresponding user information;
A timing accumulation module for accumulating the time length of the mobile device transmitted by the data synchronization module each time and the accumulated time length in the corresponding user information stored in the cloud storage module, transmitting the result to the corresponding user information in the cloud storage module for updating and transmitting to the trigger module for monitoring,
The accumulation method is that the user uses a plurality of mobile devices at the same time and the use time of the mobile device with the longest use time is accumulated.
2. The system of claim 1, wherein the biometric features comprise facial features, iris features, and/or fingerprint features.
3. The system for monitoring the use time of the mobile device based on the biometric feature recognition as claimed in claim 1 or 2, wherein the mobile device further comprises a timing statistic module for timing when the user uses the mobile device, and performing continuous timing or time-crossing timing when the image acquisition and recognition module recognizes the biometric feature of the same user for a plurality of times in real time so as to judge the time length of the user use.
4. the system of claim 3, wherein the management control module is further configured to shut down, hibernate and/or mask operation of the mobile device when the length of time used by the user is determined to have arrived or when the time period in which use is not allowed is determined to be.
5. the system according to claim 1, wherein the management control module is further configured to limit or prohibit the usage right of the user when the comparison result fed back by the cloud database indicates that the biometric feature of the user does not exist in the biometric feature library.
6. the system of claim 2, wherein the image capturing and recognizing module is a camera when the biometric feature is a face feature or an iris feature, and the image capturing and recognizing module is a fingerprint recognizing device when the biometric feature is a fingerprint feature.
7. A time monitoring method of mobile equipment based on biological feature recognition is characterized in that: the mobile device is connected with a cloud database at a network side and transmits data, and the method comprises the following steps:
When a user uses the mobile device, the biological characteristics of the user are identified, and when the biological characteristics are identified, the biological characteristics are sent to the cloud database so as to be compared through a biological characteristic library pre-stored in the cloud database;
controlling the time length and/or the time period of the mobile equipment used by the user according to the comparison result fed back by the cloud database, and monitoring the time consumption of the user in real time according to the time length and/or the time period so as to control the mobile equipment,
The mobile equipment comprises a mobile device, a timing module and a timing module, wherein the timing module is used for timing when the mobile device is used by a user, and continuously timing or time-span timing is carried out when the biological characteristics of the same user are identified for multiple times in real time so as to judge the time length used by the user; when the time length used by the user is judged to be up or the time period not allowed to be used is judged, the operation of the mobile equipment is closed, dormant and/or shielded;
When the comparison result fed back by the cloud database indicates that the biological characteristics of the user do not exist in the biological characteristic library, the use permission of the user is limited or forbidden,
The method for timing when the user uses the mobile equipment comprises the following steps: starting to time the usage time of all devices of the user by means of the allocated timer,
The method for judging the time length used by the user comprises the steps of judging whether the time length accumulated in a timing statistic period in a cloud database by the user exceeds the set limited time length,
The accumulation method is that the user uses a plurality of mobile devices at the same time and the use time of the mobile device with the longest use time is accumulated.
8. the method for monitoring a mobile device based on biometric identification according to claim 7, wherein the biometric features comprise human face features, iris features and/or fingerprint features, and wherein the step of identifying the biometric features of the user while the user is using the mobile device comprises: the face features or iris features are identified through a camera, or the fingerprint features are identified through a fingerprint identification device.
9. A mobile device, characterized in that it comprises a biometric-based time-of-use monitoring system according to any of claims 1 to 6.
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