CN201654933U - Infrared associative recognition alarm system - Google Patents
Infrared associative recognition alarm system Download PDFInfo
- Publication number
- CN201654933U CN201654933U CN2009202678822U CN200920267882U CN201654933U CN 201654933 U CN201654933 U CN 201654933U CN 2009202678822 U CN2009202678822 U CN 2009202678822U CN 200920267882 U CN200920267882 U CN 200920267882U CN 201654933 U CN201654933 U CN 201654933U
- Authority
- CN
- China
- Prior art keywords
- infrared
- video signal
- alarm
- ccd
- associative recognition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Landscapes
- Burglar Alarm Systems (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The utility model discloses an infrared associative recognition alarm system. The technical scheme of the system includes that an infrared CCD is connected to an S-Video input interface through a video signal wire to transmit signals to a video signal acquisition card, the video signal acquisition card is connected to a computer mainframe through a PCI bus, and the computer mainframe is connected to a display. The infrared associative recognition alarm system with high reliability has sufficient information content because of the use of a whole view pattern shot by the CCD, and replaces single-point or multi-point information of a pyroelectric device by information of a whole surface, thereby leading false alarm rate to be close to zero. Moreover, the infrared associative recognition alarm system can recognize that intruding objects are people and give alarm, and has high reliability. The capabilities of the infrared associative recognition alarm are difficult to realize by all existing infrared anti-theft alarm systems.
Description
Technical field
The utility model relates to optoelectronic areas, relates in particular to a kind of infrared relevant identification warning system.
Background technology
The infrared anti-theft alarm system is that the antitheft first-selected instrument of household is gone up by society now.Because modern society is more and more higher to the requirement of safety precaution, the development in security protection market is exactly the process of a kind of idea and relevant anti-theft product while " evolution ".People have used common door lock in several thousand, along with the progress of society with need, and the raising of people's living standard and security protection consciousness, more advanced family expenses anti-theft product will become the main flow of security protection consumption and finally replace old security product.
The highest thermal release electric infra-red ray sensor alarm instrument of existing market share is with its low-cost advantage, generally is installed in office's office building, average family etc. in the not very very strict indoor environment of security protection requirement.Its principle of work is: utilize the intrinsic constant 37 degree body temperature of human body, can send the infrared ray about specific wavelength 10UM, critical piece in this system " passive type infrared probe " carries out work by the infrared ray of surveying the human body emission, infrared ray gathers on the infrared induction source after strengthening by the Fresnel optical filter, the pyroelectricity element is adopted in the infrared induction source usually, this element will lose charge balance when the human infrared radiation temperature changes receiving, outwards discharge electric charge, subsequent conditioning circuit is handled the back after testing just can produce alerting signal.
Generally speaking, the infrared warning device of this thermoelectric type has the radiation that itself does not send out any kind, and device power consumption is very little, good concealment, cheap advantage.
Yet because it utilizes single point information is main sniffer, and inherent defect is unconquerable, and described shortcoming comprises: disturbed by various thermals source, light source.The passive infrared penetration power is poor, and the infrared radiation of human body is blocked easily, is difficult for being received by probe.Be subject to the interference of radio-frequency radiation.Environment temperature and human body temperature near the time, survey and sensitivity obviously descends, cause malfunctioning in short-term sometimes.Rate of false alarm is needing several no practical values of the very high application of reliability than higher.Only suitable office work environment.
Summary of the invention
The utility model proposes a kind of infrared relevant identification warning system at above-mentioned shortcoming, compared with thermoelectric type, the maximum characteristics of native system are that the signal Processing of changing the time is the face signal Processing, changing Fresnel lens copped wave method is the image relative identifying method, changes the detection of passive infrared probe and is detected by CCD for the active infrared light emitted again.
For addressing the above problem, the utility model provides a kind of infrared relevant identification warning system, this system comprises: infrared CCD 1 (Charge Coupled Device charge-coupled image sensor) is connected to S-Video (S terminal input interface) input interface 3 by video signal cable 2 signal conveys is arrived video signal collecting card 4, video signal collecting card 4 is connected to main frame 6 by pci bus 5, and main frame 6 connects display 7; The topography 1 of 6 pairs of real-time videos of main frame or the topography of real-time video 2 11 carry out related operation with waiting characteristics of human body's template 12 of implementing related operation, and the related operation result is by display 7 display alarm states 14 or non-alarm condition 15.
The infrared light supply that above-mentioned infrared CCD employing wavelength is 850nm or 940nm is as the active light source.
The aforementioned calculation machine host is installed and is embedded the process chip ARM7 that declines.
The recognition methods step of a kind of infrared relevant identification warning system of the present utility model is as follows:
In the zone of being monitored, take monitor area with infrared CCD, the internal memory of delivering to the main frame of real-time update after the image process video signal collecting card collection of gained also carries out related operation with the characteristics of human body's template that has been stored in the main frame internal memory, relevant peaks comparison identification is carried out in the standard feature vector data storehouse that is about to capture pattern and people, if intrusion target is the people, institute's relevant peaks to occur and trigger warning, and continue infrared CCD shooting pattern that monitor area is captured is monitored in real time if not then get back to the video signal collecting card front end again.
Above-mentioned related operation adopts the relevant peak recognition methods in the mode identification technology, be described as, the infrared CCD video sampling was sampled every certain time interval, it is difference shadow method in the Flame Image Process that two width of cloth pictures before and after the sampling carry out additive operation, there is the evident difference feature to carry out the bigger Human Body Model's identification of operand just now, pattern-recognition adopts the standard feature vector data storehouse that will capture pattern and people to carry out the method for relevant peaks comparison identification, and differentiation is that the talent triggers warning.
The beneficial effects of the utility model are:
The infrared relevant identification warning system reliability height that the utility model provides, because it utilizes the taken entire pattern of CCD, quantity of information is enough abundant, and with single-point (or multiple spot) information of whole information replacement pyroelectricity device, thereby rate of false alarm can be accomplished near zero.In order to photograph enough infrared CCD image clearly, the infrared radiation of depending merely on human body is not enough, and the cooperation of active infrared light source must be arranged.
The utility model can identify invasion and report to the police to liking the people, the reliability height, thereby rate of false alarm can accomplish that near zero this is that all infrared anti-theft alarm systems are difficult to realize at present.
Description of drawings
Fig. 1 is the schematic flow sheet of the infrared relevant identification warning system of the utility model recognition methods.
Fig. 2 is the composition synoptic diagram of the infrared relevant identification warning system of the utility model.
Embodiment
Below in conjunction with accompanying drawing of the present utility model; technical scheme among the utility model embodiment is clearly and completely described; those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the utility model protection.
Fig. 2 is the composition synoptic diagram of a kind of infrared relevant identification warning system of the utility model embodiment, comprise: infrared CCD 1 is connected to S-Video (S terminal input interface) input interface 3 by video signal cable 2 signal conveys is arrived video signal collecting card 4, video signal collecting card 4 is connected to the topography 1 of 6 pairs of real-time videos of main frame by pci bus 5 or the topography 2 11 of real-time video carries out related operation with waiting characteristics of human body's template 12 of implementing related operation, and the related operation result is by display 7 display alarm states 14 or non-alarm condition 15.
Fig. 1 is the schematic flow sheet of the infrared relevant identification warning system of the utility model recognition methods.
In the zone of being monitored, take monitor area with infrared CCD, the internal memory of delivering to the main frame of real-time update after the image process video signal collecting card collection of gained also carries out related operation with the characteristics of human body's template that has been stored in the main frame internal memory, relevant peaks comparison identification is carried out in the standard feature vector data storehouse that is about to capture pattern and people, if intrusion target is the people, institute's relevant peaks to occur and trigger warning, and continue infrared CCD shooting pattern that monitor area is captured is monitored in real time if not then get back to the video frequency collection card front end again.
Existing wavelength has been very ripe equipment at infrared light supply and the sniffer of 850nm and 940nm, with low cost, we adopt the infrared LED of these two wave bands as the active light source just, the whole detected space of this light illumination (6m * 8m * 3m), all images in the space are taken by the infrared CCD of corresponding response wave length, the pal mode vision signal of its shooting is converted to digital signal through the digital video process chip, is transferred to embed to carry out human body differentiation identification computing among the process chip ARM7 that declines.This differentiates the relevant peak recognition methods in the algorithm employing mode identification technology, simply can be described as, the CCD video sampling was sampled every certain time interval, two width of cloth pictures before and after the sampling carry out additive operation (being the difference shadow method in the Flame Image Process), there is the evident difference feature to carry out the bigger Human Body Model's identification of operand just now, pattern-recognition adopts the standard feature vector data storehouse that will capture pattern and people to carry out the method for relevant peaks comparison identification, differentiation is that the talent triggers warning, the accuracy and minimizing rate of false alarm of reporting to the police have been strengthened thus widely, preserve when trigger reporting to the police and capture image, robber's information the most clearly is kept in the internal memory.
Claims (3)
1. one kind infrared relevant identification warning system, it is characterized in that this system comprises: infrared CCD (1) is connected to S-Video input interface (3) by video signal cable (2) signal conveys is arrived video signal collecting card (4), video signal collecting card (4) is connected to main frame (6) by pci bus (5), and main frame (6) connects display (7).
2. infrared relevant identification warning system according to claim 1 is characterized in that: the infrared light supply that above-mentioned infrared CCD employing wavelength is 850nm or 940nm is as the active light source.
3. infrared relevant identification warning system according to claim 1 is characterized in that: the aforementioned calculation machine host is installed and is embedded the process chip ARM7 that declines.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2009202678822U CN201654933U (en) | 2009-10-25 | 2009-10-25 | Infrared associative recognition alarm system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2009202678822U CN201654933U (en) | 2009-10-25 | 2009-10-25 | Infrared associative recognition alarm system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN201654933U true CN201654933U (en) | 2010-11-24 |
Family
ID=43120178
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2009202678822U Expired - Fee Related CN201654933U (en) | 2009-10-25 | 2009-10-25 | Infrared associative recognition alarm system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN201654933U (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102393984A (en) * | 2011-06-30 | 2012-03-28 | 保定市天河电子技术有限公司 | Infrared identification based object monitoring system and monitoring method thereof |
CN105607534A (en) * | 2015-12-25 | 2016-05-25 | 厦门思力科电子科技有限公司 | Intelligent switch based on CIS |
TWI663580B (en) * | 2017-12-01 | 2019-06-21 | Getac Technology Corporation | A control method of surveillance system |
CN113674502A (en) * | 2021-08-09 | 2021-11-19 | 上海腾盛智能安全科技股份有限公司 | Detection system based on infrared image recognition |
-
2009
- 2009-10-25 CN CN2009202678822U patent/CN201654933U/en not_active Expired - Fee Related
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102393984A (en) * | 2011-06-30 | 2012-03-28 | 保定市天河电子技术有限公司 | Infrared identification based object monitoring system and monitoring method thereof |
CN102393984B (en) * | 2011-06-30 | 2013-08-14 | 保定市天河电子技术有限公司 | Infrared identification based object monitoring system and monitoring method thereof |
CN105607534A (en) * | 2015-12-25 | 2016-05-25 | 厦门思力科电子科技有限公司 | Intelligent switch based on CIS |
TWI663580B (en) * | 2017-12-01 | 2019-06-21 | Getac Technology Corporation | A control method of surveillance system |
CN113674502A (en) * | 2021-08-09 | 2021-11-19 | 上海腾盛智能安全科技股份有限公司 | Detection system based on infrared image recognition |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101699531A (en) | Infrared correlation identification alarm system and identification method thereof | |
US5936666A (en) | Security sensor arrangement | |
CN104971458B (en) | Based on the more fire source recognition methods for automatically tracking positioning jet stream extinguishing device | |
CN101465033B (en) | Automatic tracking recognition system and method | |
EP3114661A1 (en) | Intrusion detection with motion sensing | |
CN104394359A (en) | Security monitoring method and system based on infrared and face recognition technologies | |
CN203630902U (en) | Improved image fire-hazard detector | |
CN201654933U (en) | Infrared associative recognition alarm system | |
CN205281526U (en) | Passageway formula multidimension personnel diagnostic information gathers recognition device | |
CN109040711A (en) | A kind of image-pickup method, monitoring method and imaging sensor | |
CN101833117A (en) | Intelligent vehicle safety vision detection device and motion target tracking method | |
Hsu et al. | Design and implementation of image electronic fence with 5G technology for smart farms | |
CN108109306A (en) | A kind of low-power-consumption infrared and image composite sensing detection device | |
CN101814222A (en) | Intrusion detection device | |
KR101046819B1 (en) | Method and system for watching an intrusion by software fence | |
KR101313908B1 (en) | Image security system using laser range-gate method | |
CN206441312U (en) | Visible ray and the double mode pyrotechnics identifying system of infrared thermal imaging | |
CN202373094U (en) | Intelligent perimeter alarm device capable of performing automatic video tracking and preventing invasion | |
CN215298410U (en) | Invasion identification system | |
CN204360494U (en) | A kind of circumference comprehensive precaution system | |
CN208460141U (en) | Forbidden zone intrusion alarm system | |
CN202904792U (en) | Intelligent visualized alarm system | |
CN108769628A (en) | Near-space intelligent monitor system and method | |
CN209823901U (en) | Binocular camera monitoring device based on pyroelectric infrared induction | |
CN209962382U (en) | Intelligent fire detection system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
C17 | Cessation of patent right | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20101124 Termination date: 20131025 |