CN111107308A - Networking alarm system based on camera monitoring - Google Patents
Networking alarm system based on camera monitoring Download PDFInfo
- Publication number
- CN111107308A CN111107308A CN201910870336.6A CN201910870336A CN111107308A CN 111107308 A CN111107308 A CN 111107308A CN 201910870336 A CN201910870336 A CN 201910870336A CN 111107308 A CN111107308 A CN 111107308A
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- alarm
- photos
- camera
- system based
- police
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 29
- 230000006855 networking Effects 0.000 title claims abstract description 9
- 238000012549 training Methods 0.000 claims abstract description 21
- 230000002159 abnormal effect Effects 0.000 claims abstract description 15
- 238000012216 screening Methods 0.000 claims abstract description 14
- 238000010801 machine learning Methods 0.000 claims abstract description 10
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims description 15
- 206010000117 Abnormal behaviour Diseases 0.000 claims description 7
- 230000005856 abnormality Effects 0.000 claims description 6
- 230000006399 behavior Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a camera monitoring-based networking alarm system, which comprises a calling camera, a monitoring server and a network server, wherein the calling camera shoots an environment monitored by the camera to obtain an environment picture; inputting the environmental photo into a screening model, and determining whether an alarm is needed, wherein the screening model is obtained by adopting a plurality of groups of training data through machine learning, and each group of training data in the plurality of groups of training data comprises first-class data and second-class data; and sending out an alarm in the case that the photo needs the alarm. The networking alarm system based on camera monitoring judges abnormal conditions occurring in a monitored area in a machine learning mode, judges the required alarm level according to the abnormal conditions, and takes corresponding alarm measures according to the corresponding alarm level, thereby realizing the effect of automatic alarm.
Description
Technical Field
The invention relates to the field of monitoring, in particular to a camera monitoring-based networking alarm system.
Background
The monitoring is one of the most applied systems in the security system, the monitoring is composed of a front end part and a control part, the construction site monitoring system which is suitable in the market at present is a handheld video communication device, the video monitoring is the mainstream at present, and the network video monitoring is changed from the earliest analog monitoring to the digital monitoring in the previous years to the emerging network video monitoring at present, so that the change of the coverage of the sky is generated;
in the existing monitoring system, there are the following problems:
(1) the monitoring system has low automation degree and single function, and can only monitor the area;
(2) and the abnormal condition occurring in the monitoring area can not be judged, and corresponding measures can not be taken according to the abnormal condition.
Disclosure of Invention
The invention mainly aims to provide a camera monitoring-based networking alarm system which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
a networking alarm system based on camera monitoring comprises a calling camera, a network server and a network server, wherein the calling camera shoots an environment monitored by the camera to obtain an environment picture;
inputting the environmental photos into a screening model, and determining whether alarming is needed, wherein the screening model is obtained by machine learning by adopting a plurality of groups of training data, each group of training data in the plurality of groups of training data comprises first-class data and second-class data, the first-class data comprises the photos needing alarming and labels for identifying the photos needing alarming, and the second-class data comprises the photos not needing alarming and the labels for identifying the photos not needing alarming;
and sending out an alarm in the case that the photo needs the alarm.
Preferably, the photos needing warning comprise behavior abnormality photos and state abnormality photos.
Preferably, the behavior abnormality photos include photos with abnormal behaviors, and the state abnormality photos include photos with disasters.
Preferably, the alarms are divided into two alarm levels, namely a first level alarm and a second level alarm, wherein the first alarm level comprises a mobile phone mobile terminal alarm and a terminal server alarm, and the second level alarm comprises a police alarm.
Preferably, when the alarm is given out in the case that the photo needs to be alarmed, the shot photo is transmitted to a mobile terminal of a mobile phone or a terminal server or an police party, and the transmission mode adopts wireless transmission, wired transmission or local area network transmission.
Preferably, the alarm adopts an intermittent alarm and an uninterrupted alarm, wherein the intermittent alarm is to send multiple alarms to the mobile terminal, the terminal server or the police within a set time period until receiving the feedback information of the mobile terminal, the terminal server or the police, and the uninterrupted alarm is to send the alarm to the mobile terminal, the terminal server or the police without interruption for a non-set time period until receiving the feedback information of the mobile terminal, the terminal server or the police and then stop the alarm.
Preferably, when the photo needs to be warned, the shooting time period of the camera is 60s, and the warning photo sending period is 60 s.
Compared with the prior art, the invention has the following beneficial effects:
the invention judges the abnormal condition in the monitoring area by the machine learning mode, judges the required alarm level according to the abnormal condition and simultaneously takes corresponding alarm measures according to the corresponding alarm level, thereby realizing the effect of automatic alarm;
in conclusion, the invention has the advantages of high automation degree and wide application.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
A networking alarm system based on camera monitoring comprises a calling camera, a network server and a network server, wherein the calling camera shoots an environment monitored by the camera to obtain an environment picture;
inputting the environmental photos into a screening model, and determining whether alarming is needed, wherein the screening model is obtained by machine learning by adopting a plurality of groups of training data, each group of training data in the plurality of groups of training data comprises first-class data and second-class data, the first-class data comprises the photos needing alarming and labels for identifying the photos needing alarming, and the second-class data comprises the photos not needing alarming and the labels for identifying the photos not needing alarming;
and sending out an alarm in the case that the photo needs the alarm.
Example 1
The system is applied to a market, and the specific flow is as follows:
calling a camera, and taking a picture of the environment monitored by the camera to obtain an environment picture;
inputting the environmental photos into a screening model, and determining whether alarming is needed, wherein the screening model is obtained by machine learning by adopting a plurality of groups of training data, each group of training data in the plurality of groups of training data comprises first-class data and second-class data, the first-class data comprises the photos needing alarming and labels for identifying the photos needing alarming, and the second-class data comprises the photos not needing alarming and the labels for identifying the photos not needing alarming;
judging the level needing to be warned when the photos with abnormal behaviors and abnormal states appear in the photos, namely the photos with abnormal behaviors and abnormal states exist in the photos;
when the alarm level of the photo is judged to be a first alarm level, namely, when behaviors such as theft, non-standardization and the like appear in the photo, an alarm is sent to a terminal server through wireless transmission local area network transmission, the alarm is reminded by a ring tone until feedback information of the terminal server is received, and then the alarm is stopped;
and when the alarm level of the photo is judged to be the second alarm level, namely when a fire occurs in the photo, sending an alarm to the terminal server and the police through wireless transmission at the same time until the alarm is stopped after the feedback information of the terminal server and the police is received.
Example 2
The system is applied to families, and the specific flow is as follows: calling a camera, and taking a picture of the environment monitored by the camera to obtain an environment picture;
inputting the environmental photos into a screening model, and determining whether alarming is needed, wherein the screening model is obtained by machine learning by adopting a plurality of groups of training data, each group of training data in the plurality of groups of training data comprises first-class data and second-class data, the first-class data comprises the photos needing alarming and labels for identifying the photos needing alarming, and the second-class data comprises the photos not needing alarming and the labels for identifying the photos not needing alarming;
judging the level needing to be warned when the photos with abnormal behaviors and abnormal states appear in the photos, namely the photos with abnormal behaviors and abnormal states exist in the photos;
when the alarm level of the photo is judged to be a first alarm level, namely actions such as stealing, non-standardization and the like appear in the photo, an alarm is sent to a mobile terminal of the mobile phone through wireless transmission local area network transmission, the alarm is reminded by a ring tone until feedback information of the mobile terminal of the mobile phone is received, and then the alarm is stopped;
and when the alarm level of the photo is judged to be the second alarm level, namely when a fire occurs in the photo, sending an alarm to the mobile terminal of the mobile phone and the police through wireless transmission at the same time until the alarm is stopped after the feedback information of the mobile terminal of the mobile phone and the police is received.
Example 3
The system is applied to the frequent places of fire and flood, and the specific flow is as follows:
calling a camera, and taking a picture of the environment monitored by the camera to obtain an environment picture;
inputting the environmental photos into a screening model, and determining whether alarming is needed, wherein the screening model is obtained by machine learning by adopting a plurality of groups of training data, each group of training data in the plurality of groups of training data comprises first-class data and second-class data, the first-class data comprises the photos needing alarming and labels for identifying the photos needing alarming, and the second-class data comprises the photos not needing alarming and the labels for identifying the photos not needing alarming;
when the state in the photo is abnormal, namely the abnormal state phenomenon exists in the photo, namely when fire and flood occur in the photo, the alarm is sent to the terminal server and the police party simultaneously through wireless transmission until the alarm is stopped after the feedback information of the terminal server and the police party is received.
As can be seen from the combination of the embodiments 1 to 3, the present invention can determine the abnormal situation occurring in the monitored area in a machine learning manner, determine the required alarm level according to the abnormal situation, and take corresponding alarm measures according to the corresponding alarm level, thereby achieving the effect of automatic alarm.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. The utility model provides a networking alarm system based on camera monitoring which characterized in that:
calling a camera, and taking a picture of the environment monitored by the camera to obtain an environment picture;
inputting the environmental photos into a screening model, and determining whether alarming is needed, wherein the screening model is obtained by machine learning by adopting a plurality of groups of training data, each group of training data in the plurality of groups of training data comprises first-class data and second-class data, the first-class data comprises the photos needing alarming and labels for identifying the photos needing alarming, and the second-class data comprises the photos not needing alarming and the labels for identifying the photos not needing alarming;
and sending out an alarm in the case that the photo needs the alarm.
2. The networked alarm system based on camera monitoring according to claim 1, characterized in that: the photos needing warning comprise behavior abnormality photos and state abnormality photos.
3. The networked alarm system based on camera monitoring according to claim 2, characterized in that: the abnormal behavior photos comprise photos with abnormal behaviors, and the abnormal state photos comprise photos with disasters.
4. The networked alarm system based on camera monitoring according to claim 1, characterized in that: the alarm is divided into two alarm levels, namely a first level alarm and a second level alarm, wherein the first alarm level comprises a mobile phone mobile terminal alarm and a terminal server alarm, and the second level alarm comprises a police alarm.
5. The networked alarm system based on camera monitoring according to claim 1, characterized in that: and under the condition that the photo needs to be alarmed, when the alarm is given, transmitting the shot photo to a mobile terminal of a mobile phone or a terminal server or an police, wherein the transmission mode adopts wireless transmission, wired transmission or local area network transmission.
6. The networked alarm system based on camera monitoring according to claim 1, characterized in that: the alarm adopts discontinuous alarm and uninterrupted alarm, wherein the discontinuous alarm is to send multiple alarms to the mobile terminal of the mobile phone, the terminal server or the police within a set time period until receiving the feedback information of the mobile terminal of the mobile phone, the terminal server or the police, the uninterrupted alarm is to send the alarm to the mobile terminal of the mobile phone, the terminal server or the police without setting the time period until receiving the feedback information of the mobile terminal of the mobile phone, the terminal server or the police, and the uninterrupted alarm is to stop the alarm.
7. The networked alarm system based on camera monitoring according to claim 5, wherein: and under the condition that the picture needs to be warned, the shooting time period of the camera is 60s, and the warning picture sending period is 60 s.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910870336.6A CN111107308A (en) | 2019-09-16 | 2019-09-16 | Networking alarm system based on camera monitoring |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910870336.6A CN111107308A (en) | 2019-09-16 | 2019-09-16 | Networking alarm system based on camera monitoring |
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| Publication Number | Publication Date |
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| CN111107308A true CN111107308A (en) | 2020-05-05 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910870336.6A Pending CN111107308A (en) | 2019-09-16 | 2019-09-16 | Networking alarm system based on camera monitoring |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111583567A (en) * | 2020-06-01 | 2020-08-25 | 江西憶源多媒体科技有限公司 | Forest fire prevention early warning method and device |
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| CN110099255A (en) * | 2019-06-03 | 2019-08-06 | 成都华迈通信技术有限公司 | Security system control method and device |
| CN110222675A (en) * | 2019-07-02 | 2019-09-10 | 同略科技有限公司 | A kind of police strength dispatching method, system, terminal and storage medium |
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2019
- 2019-09-16 CN CN201910870336.6A patent/CN111107308A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102547241A (en) * | 2011-12-31 | 2012-07-04 | 深圳市永达电子股份有限公司 | Home anomaly detection method and home anomaly detection device as well as home anomaly detection system on basis of wireless network camera |
| CN105120231A (en) * | 2015-09-15 | 2015-12-02 | 移康智能科技(上海)有限公司 | Safety monitoring system, safety monitoring method and mobile monitoring equipment |
| CN105242655A (en) * | 2015-10-27 | 2016-01-13 | 成都贝发信息技术有限公司 | Industrial on-site supervising device based on Internet of Things |
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Application publication date: 20200505 |
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