CN113329180B - Intelligent security system based on face recognition - Google Patents
Intelligent security system based on face recognition Download PDFInfo
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- CN113329180B CN113329180B CN202110599537.4A CN202110599537A CN113329180B CN 113329180 B CN113329180 B CN 113329180B CN 202110599537 A CN202110599537 A CN 202110599537A CN 113329180 B CN113329180 B CN 113329180B
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- 238000012544 monitoring process Methods 0.000 claims abstract description 173
- 238000001514 detection method Methods 0.000 claims abstract description 15
- 238000004458 analytical method Methods 0.000 claims description 14
- 238000000926 separation method Methods 0.000 claims description 4
- 238000010191 image analysis Methods 0.000 claims description 3
- 230000000977 initiatory effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 206010000117 Abnormal behaviour Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
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Abstract
The invention relates to the technical field of intelligent security and protection monitoring, and particularly discloses an intelligent security and protection system based on face recognition, which comprises an equipment state detection module, a monitoring starting judgment module and a video monitoring module, wherein the equipment state detection module comprises: the equipment state detection module is used for detecting the opening and closing states of a first lamp group and a television in the monitoring area; the monitoring opening judging module is used for generating a monitoring closing instruction if the opening and closing state of any equipment in the first lamp group and the television is open; if the first lamp group and the television are in the closed state, generating a monitoring opening instruction; the video monitoring module is also used for collecting monitoring videos of the monitoring area when receiving the monitoring starting instruction; and if the monitoring closing instruction is received, closing the monitoring video acquisition of the monitoring area. By adopting the technical scheme of the invention, the safety of the residence can be monitored, and the monitoring of the daily life privacy of the user can be reduced.
Description
Technical Field
The invention relates to the technical field of intelligent security and protection monitoring, in particular to an intelligent security and protection system based on face recognition.
Background
The household intelligent security is an effective means for guaranteeing the household safety. With the continuous progress of social civilization, the situations of abnormal behaviors such as theft, intrusion of strangers and the like of the residence are identified by monitoring the residence, and intelligent alarm is performed, so that the safety of the residence is improved. However, in most cases, when the residence is occupied by a user, the monitor monitors the privacy of the user who the residence belongs to when the monitor is turned on for a long time, and thus, a great risk of revealing the privacy of the daily life exists.
Therefore, how to provide an intelligent protection system which can not only perform safety monitoring on a residence, but also reduce the daily life privacy monitoring of a user is urgently needed.
Disclosure of Invention
The invention provides an intelligent security system based on face recognition, which can monitor the safety of a residence and reduce the daily privacy monitoring of a user.
The basic scheme of the invention is as follows:
intelligent security system based on face identification opens judgment module and video monitoring module including equipment state detection module, control, wherein:
the equipment state detection module is used for detecting the opening and closing states of a first lamp group and a television in the monitoring area;
the monitoring opening judging module is used for generating a monitoring closing instruction if the opening and closing state of any equipment in the first lamp group and the television is open; if the first lamp group and the television are in the closed state, generating a monitoring opening instruction;
the video monitoring module is also used for collecting monitoring videos of the monitoring area when receiving the monitoring starting instruction; and if the monitoring closing instruction is received, closing the monitoring video acquisition of the monitoring area.
The basic scheme has the beneficial effects that: the monitored area refers to a living room, a dining room, etc., an area not related to the personal privacy of family members, and the non-monitored area refers to a private area such as a bedroom, a toilet, etc. According to the technical scheme, whether a person exists in the monitoring area is judged according to the detected opening and closing states of the first lamp group and the television in the monitoring area, namely at least one of the first lamp group and the television is opened, the person exists in the monitoring area, and the video monitoring is not started, so that the monitoring on the daily life privacy of a user is reduced; if the first lamp group and the television are both turned off, the fact that no person exists in the monitored area is indicated, video monitoring is started, and the safety of the residence of the user is guaranteed.
Further, still include video analysis module and security personnel and set up the module, wherein:
the safety personnel setting module is used for inputting safety personnel information;
the video analysis module is used for carrying out image analysis on the monitoring video, if the person information in the monitoring video is analyzed, identity recognition is further carried out on the existing person information according to the input safety personnel information, and if the person identity can be recognized, a monitoring closing instruction is generated.
Has the advantages that: if the identities of the character information appearing in the monitoring video are all safety personnel which are input in advance, the video monitoring is automatically closed, and therefore the daily life privacy of the user and relatives and friends of the user is reduced.
Further, the video analysis module is further used for generating and initiating potential safety hazard prompt information and a monitoring and continuing opening request if the person information in the monitoring video is analyzed, and further when the person information is subjected to identity recognition according to the input safety personnel information and the person identity cannot be recognized.
Has the advantages that: when the house of the user has strangers and safety personnel set by the user, for example, the conditions of maintenance of water and electricity workers at the door exist, at the moment, potential safety hazard prompt information is generated and the request for opening the monitor is continued, so that the user knows that the strangers exist at the moment, the safety risk exists, and the video monitor needs to be continuously started.
If the user is a new friend visiting situation, the user can also reject the situation when prompting the potential safety hazard prompting information and monitoring the continuing opening request, so that the video monitoring can be closed to ensure the privacy of the user and the friends.
Further, the video analysis module is used for receiving feedback information of a user after potential safety hazard prompt information and a monitoring continuous opening request are generated and initiated, and automatically acquiring the personal information of which the personal identity cannot be identified as safety personnel information when the feedback information is that the monitoring continuous opening request is refused.
Has the advantages that: the user refuses to monitor the condition of continuing to open, usually, the person who cannot identify the identity is a relatives and friends (safety personnel) of the user who does not enter the system, and the person information of the person is automatically collected to serve as the safety personnel information, so that the processes that the user still carries the relatives and friends to identify the face, enters the face information and the like are avoided, and the user experience is improved.
Further, the video monitoring module is further used for receiving a monitoring closing instruction, closing the monitoring video acquisition of the monitoring area, and starting the monitoring video acquisition of the monitoring area after delaying the preset time.
Has the advantages that: some users may have the situation that the television and the first lamp group are turned off to play the mobile phone in the monitoring area, and in consideration of the situation, when the situation that the television and the first lamp group are both turned off is detected, the video monitoring module can turn off the monitoring video acquisition of the monitoring area according to the received monitoring turn-off instruction, and when the preset time is delayed (the preset time is set according to the time spent by the users possibly leaving the monitoring area), the situation that the users have the monitoring area when the users are turned on again is avoided, and the situation that the users have not left the monitoring area is really solved. And when the monitoring area is opened again and the safety personnel still exist in the monitoring area, the video monitoring is closed.
The mobile detection module is used for detecting the position movement information of the user;
the equipment state detection module is also used for detecting the on-off state of a second lamp group in a non-monitoring area;
the sound acquisition module is used for acquiring footstep sound information;
the monitoring starting judgment module is also used for acquiring and judging the footstep sound information when the switch state of the second lamp group is closed and the position moving information is from far to near, and generating a monitoring closing instruction if the footstep sound information is in some cases; and if the footstep sound information is not available, generating a monitoring starting instruction.
Has the advantages that: when the second lamp group in the non-monitoring area is turned off and the position movement information of the user is from far to near (taking the monitoring area as a reference), it can be judged that the user may go from the non-monitoring area to the monitoring area, at this time, the step sound information is further used for confirmation, if the step sound information is in some time, it can be confirmed whether the user is really going to go from the non-monitoring area to the monitoring area, at this time, a monitoring turn-off instruction is generated, video monitoring is turned off, and the privacy of the user is prevented from being monitored.
Further, the video analysis module is also used for analyzing and identifying portrait shadow information of the video image of the separation area between the monitoring area and the non-monitoring area;
the monitoring starting judgment module is also used for judging the footstep sound information and the portrait shadow information if the on-off state of the second lamp group is started and the position moving information is changed in real time, and generating a monitoring closing instruction if the footstep sound information and the portrait shadow information are both available.
Has the advantages that: some users may forget to turn off the second lamp group in the non-monitored area to come to the monitored area, and the above situation may occur by judging when the second lamp group is turned on and the position movement information is from far to near. At the moment, whether footstep sound exists or not and whether portrait shadow appears in a video image of a separation area between a monitoring area and a non-monitoring area or not are analyzed, whether a user forgets to turn off a second lamp group of the non-monitoring area to the monitoring area or not is judged, if the footstep sound exists and the portrait shadow appears, the situation is shown, a monitoring turn-off instruction is generated at the moment, video monitoring is turned off, and the privacy of the user is prevented from being monitored.
Further, the monitoring turn-on judging module is further used for judging the portrait shadow information if the switch state of the second lamp group is on and the position moving information is unchanged, and generating a monitoring turn-off instruction if the portrait shadow information is not changed.
Has the advantages that: some users may forget to carry the mobile phone, the position moving information is unchanged, and for the situation that the user comes from a non-monitoring area to a monitoring area, the technical scheme detects whether the portrait shadow information is a portrait shadow or not by detecting that the second lamp group is turned on and the position moving information is unchanged, and if so, a monitoring turn-off instruction is generated, video monitoring is turned off, and the user privacy is prevented from being monitored.
Drawings
FIG. 1 is a logic block diagram of a first embodiment of an intelligent security system based on face recognition;
fig. 2 is a logic block diagram of a second embodiment of the intelligent security system based on face recognition.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
Intelligent security system based on face identification, as shown in FIG. 1, including security personnel setting module, video analysis module, equipment state detection module, removal detection module, sound collection module, control open judgment module and video monitoring module, wherein:
the safety personnel setting module is used for inputting safety personnel information. In this embodiment, the security personnel information refers to face information of relatives and friends trusted by the user.
The video analysis module is used for carrying out image analysis on the monitoring video, if the person information in the monitoring video is analyzed, the identity recognition is further carried out on the existing person information according to the input safety personnel information, and if the person identity can be recognized, a monitoring closing instruction is generated; and if the person identity cannot be identified, generating and initiating potential safety hazard prompt information and monitoring a continuous opening request. The video analysis module is also used for receiving feedback information of the user after potential safety hazard prompt information and a monitoring continuous opening request are generated and initiated, and automatically acquiring the character information of which the character identity cannot be identified as safety personnel information when the feedback information is that the monitoring continuous opening request is refused.
When the house of the user has strangers and safety personnel set by the user, for example, the conditions of maintenance of water and electricity workers at the door exist, at the moment, potential safety hazard prompt information is generated and the request for opening the monitor is continued, so that the user knows that the strangers exist at the moment, the safety risk exists, and the video monitor needs to be continuously started.
If the new friend visits, the user can also reject the potential safety hazard prompting information and the monitoring continuing opening request, so that the privacy of the user and the friends can be guaranteed by closing the video monitoring.
The equipment state detection module is used for detecting the on-off states of the first lamp group and the television in the monitoring area and the on-off state of the second lamp group in the non-monitoring area. In this embodiment, the monitored area refers to a living room, a dining room, or the like, and an area not related to the privacy of the family members, whereas the unmonitored area refers to a private area such as a bedroom or a toilet.
The movement detection module is used for detecting the position movement information of the user. In this embodiment, specifically, the location movement information of the user is detected through the signal strength when the WiFi is connected to the mobile phone, in this embodiment, the router is disposed in the monitoring area, and thus, the stronger the signal strength is, the closer the router is to the monitoring area.
The sound collection module is used for collecting footstep sound information. Specifically, the footstep sound is recognized and collected through footstep sound characteristic training.
The monitoring opening judging module is used for generating a monitoring closing instruction if the opening and closing state of any equipment in the first lamp group and the television is open; if the first lamp group and the television are in the closed state, generating a monitoring opening instruction; the monitoring starting judgment module is also used for judging the step sound information when the switch state of the second lamp group is closed and the position moving information is from far to near, and generating a monitoring closing instruction if the step sound information is in some cases; and if the footstep sound information is not available, generating a monitoring starting instruction.
The video monitoring module is also used for collecting monitoring videos of the monitoring area when receiving the monitoring starting instruction; and if the monitoring closing instruction is received, closing the monitoring video acquisition of the monitoring area. Specifically, the video monitoring module is further configured to receive a monitoring closing instruction, close monitoring video acquisition of the monitored area, and start monitoring video acquisition of the monitored area after delaying a preset time. Therefore, when the user and the relatives and friends thereof are in the monitoring area, the video monitoring is automatically closed, and the privacy of the user and the relatives and friends thereof is guaranteed; when the user and strangers are in the monitoring area or the user is not in the monitoring area, the video monitoring is intelligently started, and the house safety of the user is guaranteed.
Example two
The difference from the first embodiment is that: as shown in fig. 2, some users may forget to turn off the second lamp group in the non-monitored area to come to the monitored area, and for this case, the present embodiment provides the following solutions:
the video analysis module is also used for analyzing and identifying portrait shadow information of the video image of the separation area between the monitoring area and the non-monitoring area;
the monitoring starting judgment module is also used for judging the footstep sound information and the portrait shadow information if the on-off state of the second lamp group is started and the position moving information is changed in real time, and generating a monitoring closing instruction if the footstep sound information and the portrait shadow information are both available.
Some users may forget to carry the mobile phone, and the position movement information is unchanged, and for the situation that the user comes from the non-monitoring area to the monitoring area in this scenario, the embodiment further provides the following scheme:
the monitoring starting judgment module is also used for judging the portrait shadow information if the on-off state of the second lamp group is starting and the position moving information is unchanged, and generating a monitoring closing instruction if the portrait shadow information is in some cases.
Through the scheme, the video monitoring can be intelligently switched on and off under the two conditions, so that the safety of users is guaranteed and the privacy of the users is maintained.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (6)
1. Intelligent security system based on face identification, its characterized in that opens judgment module and video monitoring module including equipment state detection module, control, wherein:
the equipment state detection module is used for detecting the opening and closing states of a first lamp group and a television in the monitoring area;
the monitoring opening judging module is used for generating a monitoring closing instruction if the opening and closing state of any equipment in the first lamp group and the television is open; if the first lamp group and the television are in the closed state, generating a monitoring opening instruction;
the video monitoring module is also used for collecting monitoring videos of the monitoring area when receiving the monitoring starting instruction; if a monitoring closing instruction is received, closing the monitoring video acquisition of the monitoring area;
still include video analysis module and security personnel and set up the module, wherein:
the safety personnel setting module is used for inputting safety personnel information;
the video analysis module is used for carrying out image analysis on the monitoring video, if the person information in the monitoring video is analyzed, the identity recognition is further carried out on the existing person information according to the input safety personnel information, and if the person identity can be recognized, a monitoring closing instruction is generated;
the mobile detection module is used for detecting the position movement information of the user;
the equipment state detection module is also used for detecting the on-off state of a second lamp group in a non-monitoring area;
the sound acquisition module is used for acquiring footstep sound information;
the monitoring starting judgment module is also used for acquiring and judging the footstep sound information when the switch state of the second lamp group is closed and the position moving information is from far to near, and generating a monitoring closing instruction if the footstep sound information is in some cases; and if the footstep sound information is not available, generating a monitoring starting instruction.
2. The intelligent security system based on the face recognition of claim 1, characterized in that: the video analysis module is further used for generating and initiating potential safety hazard prompt information and a monitoring and continuing opening request if the person information in the monitoring video is analyzed and the person information is further identified according to the input safety personnel information and when the person identity cannot be identified.
3. The intelligent security system based on the face recognition of claim 2, characterized in that: the video analysis module is also used for receiving feedback information of the user after potential safety hazard prompt information and a monitoring continuous opening request are generated and initiated, and automatically acquiring the character information of which the character identity cannot be identified as safety personnel information when the feedback information is that the monitoring continuous opening request is refused.
4. The intelligent security system based on the face recognition of claim 1, characterized in that: the video monitoring module is also used for receiving a monitoring closing instruction, closing the monitoring video acquisition of the monitoring area, and starting the monitoring video acquisition of the monitoring area after delaying the preset time.
5. The intelligent security system based on the face recognition of claim 1, characterized in that: the video analysis module is also used for analyzing and identifying portrait shadow information of the video image of the separation area between the monitoring area and the non-monitoring area;
the monitoring starting judgment module is also used for judging the footstep sound information and the portrait shadow information if the on-off state of the second lamp group is started and the position moving information is changed in real time, and generating a monitoring closing instruction if the footstep sound information and the portrait shadow information are both available.
6. The intelligent security system based on the face recognition is characterized in that: the monitoring starting judgment module is also used for judging the portrait shadow information if the on-off state of the second lamp group is starting and the position moving information is unchanged, and generating a monitoring closing instruction if the portrait shadow information is in some cases.
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| CN202110599537.4A CN113329180B (en) | 2021-05-31 | 2021-05-31 | Intelligent security system based on face recognition |
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| CN202110599537.4A CN113329180B (en) | 2021-05-31 | 2021-05-31 | Intelligent security system based on face recognition |
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