CN105185023A - Detector with stable heat radiation structure - Google Patents

Detector with stable heat radiation structure Download PDF

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Publication number
CN105185023A
CN105185023A CN201510595413.3A CN201510595413A CN105185023A CN 105185023 A CN105185023 A CN 105185023A CN 201510595413 A CN201510595413 A CN 201510595413A CN 105185023 A CN105185023 A CN 105185023A
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China
Prior art keywords
unit
prospect
camera
detector
frame difference
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CN201510595413.3A
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Chinese (zh)
Inventor
张德馨
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TIANJIN ISECURE TECHNOLOGY Co Ltd
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TIANJIN ISECURE TECHNOLOGY Co Ltd
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Priority to CN201510595413.3A priority Critical patent/CN105185023A/en
Publication of CN105185023A publication Critical patent/CN105185023A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/10Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

The invention discloses a detector with a stable heat radiation structure. The detector with a stable heat radiation structure comprises a housing, a top cover, a sheet metal part, a circuit board, a lens and a tail circuit, wherein a processing chip is arranged on the circuit board; the upper end surface of the processing chip is connected with a radiating fin; and the radiating fin is fixedly connected with the circuit board. As the detector with a stable heat radiation structure substitutes the radiating fin structure for a fan structure, the space is saved and the requirement for stability of the product is satisfied and the radiating fin is preferably fixed on the circuit board. At the same time, the detector with a stable heat radiation structure can intelligently detect pedestrians who enter a tunnel and can give an alarm timely to avoid occurrence of traffic accidents, thus being significant in maintaining the traffic order and guaranteeing traffic safety. And, the detector with a stable heat radiation structure also has the advantages of saving the cost for manpower monitoring, being high in the precision for detection and the reliability for detection, being low in the cost of the device, being simple and convenient in installation, being high in robustness of the detection algorithm and being high in intelligence degree.

Description

With the detector of steady type radiator structure
Technical field
The invention belongs to intelligent video analysis monitoring field, particularly relate to a kind of detector with steady type radiator structure.
Background technology
Along with the development of science and technology, detector has been applied in all trades and professions, existing detector, and the radiator structure of its process chip is fan structure, easily drops, thus loses efficacy, and makes the heat radiation of process chip bad, seriously scaling loss process chip.
In addition, fire prevention and detection be the emphasis that people pay close attention to always.And during fire generation, the phenomenon more early occurred is smog.Therefore, the detection for smog seems more important.Most adopted detection means is divided at present: smoke detector and video monitoring.
Various sense cigarette type detector needs smog to reach finite concentration and arrives in detector certain limit, just can effectively report to the police, and when tall and big spacious place, this kind of detector effect of seeming is not enough.And along with the high speed development of modern society, high building is increasing.Once breaking out of fire, when this kind of detector sends warning, cause very large loss, lose effect and the object of original detection.And need a large amount of personnel just can carry out comprehensive, round-the-clock real-time monitoring for common video monitoring.This kind of scheme is difficult to carry out especially.One is need a large amount of personnel could carry out Real Time Observation to numerous video; Two is that monitor staff can not concentrate by round-the-clock energy, and three are, in some time period, as evening, at the cloudy day etc., when luminance range time, cannot catch image with cleaning.
Given this, the present invention proposes a kind of detector with steady type radiator structure.
Summary of the invention
The object of the invention is to a kind of detector with steady type radiator structure, to solve the existing detector existed in prior art, the radiator structure of its process chip is fan structure, easily drop, thus lost efficacy, make the heat radiation of process chip bad, seriously the problem of scaling loss process chip.
For realizing object of the present invention, a kind of detector with steady type radiator structure of the technical solution used in the present invention, comprise shell, upper cover, sheet metal component, circuit board, camera lens, buttock line, wherein, one end of described upper cover and described housing hinge, described circuit board is fixedly mounted on sheet metal component, described sheet metal component is fixedly mounted in described shell, described shell comprises protecgulum, center section and bonnet, described camera lens is arranged on described sheet metal component, described buttock line is connected with described circuit board through described bonnet, described camera lens comprises the first camera lens and the second camera lens, described first camera lens is arranged on B/W camera front end, described first camera lens front end is provided with an optical filter by optical filter adapter ring, described second camera lens is arranged on colour TV camera front end, described B/W camera and colour TV camera are arranged on sheet metal component, described colour TV camera comprises high definition module, described circuit board is integrated with power module, described circuit board is provided with process chip, the upper surface of described process chip is connected with heat radiator, described heat radiator is fixedly connected with described circuit board.
Wherein, the inner side of described upper cover is pasted with sealing EVA foam, described shell and the described upper cover place of being tightly connected are provided with sealing rubber strip, described sealing EVA foam surface uniform pastes conductive fabric, and it is seamless between the two after pasting, described sealing rubber strip surface is pasted with conductive fabric completely, and after pasting, conductive fabric surface smoothing is seamless between the two.
Wherein, described colour TV camera is encapsulated in shell, the cylindrical, hollow encapsulating shell that shell is made up of Stainless steel 316 L, shell protecgulum is provided with clear glass, colour TV camera is arranged on the side near front end clear glass, and colour TV camera can carry out collection surrounding situation map picture through front glass simultaneously; Shell bonnet has two wiring holes, and a hole is used for connecting power line, powers to colour TV camera, and another one hole is used for connecting fiber cable, for the video signal of colour TV camera collection being transferred to hundred meters or the outer Control Room of km.
Wherein, comprise based on video smoke detection module, describedly to comprise based on video smoke detection module:
Part I, video image acquiring unit, is used for obtaining the vedio data of guarded region and data is passed to and ask for prospect unit;
Part II, asks for prospect unit, utilizes three frame difference methods to ask for scattered foreground point;
Part III, denoising unit, utilizes opening operation to operate and carries out denoising operation to the prospect that the prospect unit of asking for is asked for, eliminate trickle noise;
Part IV, prospect summing elements, the window of a regulation regular length adds up to the prospect after denoising;
Part V, joint area unit, the point cumulative prospect being reached threshold value carries out joint area and the correlation parameters such as reference area, gray scale, barycenter;
Part VI, gradient calculation unit, obtains the average gradient value of join domain in joint area unit, as one of condition judging to report to the police;
Part VII, pseudo-smog rejected unit, the correlation parameter obtained according to joint area unit and gradient calculation unit also utilizes the conditions such as the shape of smog, color, movement tendency and neighboring area to carry out the rejecting of pseudo-smog, is stored the suspicious region of not rejecting;
Part VIII, characteristic matching unit, characteristic matching is carried out in the smog suspicious region that pseudo-smog rejected unit is not rejected, current frame data is mated with historical frames data, whether adopt is that arest neighbors selects condition as matching area, coupling restrictive condition comprises gray scale and area change, for the suspicious region that the match is successful, its matching times is added 1;
Part IX, judges alarm unit, judges whether to report to the police according to the coupling frame number of each suspicious region of characteristic matching unit record and threshold value relation.
Wherein, ask for prospect unit described in comprise:
Image storage unit, is used for the vedio data obtained in store video images acquiring unit;
Frame difference computing unit, it is poor to be used for the frame of adjacent two frames in computed image storage unit;
Frame difference result storage unit, be used for preserving frame difference computing unit calculate after result;
Three frame difference computing units, carry out and operation neighbor frame difference result in frame difference result storage unit;
Three frames difference result storage unit, be used for preservation three frame difference computing unit calculate after result.
Wherein, described prospect summing elements comprises:
Window judging unit, whether be used for judging in stationary window is that first time is cumulative, carry out different operations according to judged result to data;
Frame difference prospect summing elements, if window judging unit judges that stationary window is cumulative as first time, then frame difference prospect summing elements directly carries out adding up to new prospect, if window judging unit judges that stationary window is not that first time is cumulative, then frame difference prospect summing elements is while cumulative new prospect, deducts the prospect just going out window;
Accumulation threshold judging unit, is used for judging whether each point accumulative frequency of cumulative foreground point in stationary window exceedes threshold value;
Smog template-setup unit, the cumulative foreground point being used for accumulative frequency to reach threshold value makes marks operation in the smog template position of correspondence.
Compared with prior art, the present invention, by instead of fan structure with heat radiating fin structure, both saved space, met again the demand of product to steadiness, and heat radiator can be fixed on circuit boards well; Meanwhile, the pedestrian that the present invention can enter in Intelligent Measurement tunnel, and alarm, the generation avoided traffic accident, for maintaining traffic order, ensures that traffic safety has important meaning.Meanwhile, save the cost of manpower monitoring, accuracy of detection is high, and reliability is strong.This installation cost is low, installs simple and convenient; Detection algorithm strong robustness, degree of intelligence is high.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, is used from explanation the present invention, is not construed as limiting the invention with example one of the present invention.
Fig. 1 structural representation of the present invention;
Fig. 2 is the schematic block diagram based on video smoke detection module of the present invention;
Fig. 3 is the schematic block diagram asking for prospect unit based on video smoke detection module of the present invention;
Fig. 4 is the schematic block diagram based on video smoke detection module prospect summing elements of the present invention;
Fig. 5 is the overall flow figure detected based on video smoke detection module of the present invention;
Fig. 6 be of the present invention based on video smoke detection module detect first step process flow diagram;
Fig. 7 be of the present invention based on video smoke detection module detect the 4th step process flow diagram.
Embodiment
Below in conjunction with instantiation, each detailed problem involved by technical solution of the present invention is described.Be to be noted that described example is only intended to be convenient to the understanding of the present invention, therefore do not limit protection scope of the present invention.
Embodiment 1
As shown in Figure 1, present embodiment discloses a kind of detector with steady type radiator structure, comprise shell, upper cover, sheet metal component, circuit board 28, camera lens, buttock line, wherein, one end of described upper cover and described housing hinge, described circuit board is fixedly mounted on sheet metal component, described sheet metal component is fixedly mounted in described shell, described shell comprises protecgulum, center section and bonnet, described camera lens is arranged on described sheet metal component, described buttock line is connected with described circuit board through described bonnet, described camera lens comprises the first camera lens and the second camera lens, described first camera lens is arranged on B/W camera front end, described first camera lens front end is provided with an optical filter by optical filter adapter ring, described second camera lens is arranged on colour TV camera front end, described B/W camera and colour TV camera are arranged on sheet metal component, described colour TV camera comprises high definition module, described circuit board is integrated with power module, described circuit board is provided with process chip, the upper surface of described process chip is connected with heat radiator 27, described heat radiator 27 is fixedly connected with described circuit board 28.
Wherein, the inner side of described upper cover is pasted with sealing EVA foam, described shell and the described upper cover place of being tightly connected are provided with sealing rubber strip, described sealing EVA foam surface uniform pastes conductive fabric, and it is seamless between the two after pasting, described sealing rubber strip surface is pasted with conductive fabric completely, and after pasting, conductive fabric surface smoothing is seamless between the two.
Wherein, described colour TV camera is encapsulated in shell, the cylindrical, hollow encapsulating shell that shell is made up of Stainless steel 316 L, shell protecgulum is provided with clear glass, colour TV camera is arranged on the side near front end clear glass, and colour TV camera can carry out collection surrounding situation map picture through front glass simultaneously; Shell bonnet has two wiring holes, and a hole is used for connecting power line, powers to colour TV camera, and another one hole is used for connecting fiber cable, for the video signal of colour TV camera collection being transferred to hundred meters or the outer Control Room of km.
Embodiment 2
As Fig. 2, as shown in Figure 3, Figure 4, Figure 5, Figure 6, Figure 7, the embodiment of the present invention comprises Smoke Detection module, can realize separately through microprocessor, but a processor with high-performance CPU also can be utilized to realize for cost-saving.As shown, comprise according to the Smoke Detection module based on video of the present invention:
Part I, video image acquiring unit 101, is used for obtaining the vedio data of guarded region and data is passed to and ask for prospect unit 102.
Part II, asks for prospect unit 102, utilizes three frame difference methods to ask for scattered foreground point.Concrete composition as shown in Figure 4, comprising:
Image storage unit 201, is used for the vedio data obtained in store video images acquiring unit 101;
Frame difference computing unit 202, it is poor to be used for the frame of adjacent two frames in computed image storage unit 201;
Frame difference result storage unit 203, be used for preserving frame difference computing unit 202 calculate after result;
Three frame difference computing units 204, carry out and operation neighbor frame difference result in frame difference result storage unit 203;
Three frames difference result storage unit 205, be used for preservation three frame difference computing unit 204 calculate after result.
Part III, denoising unit 103, utilizes opening operation to operate and carries out denoising operation to asking for the prospect that prospect unit 102 asks for, eliminate trickle noise.
Part IV, prospect summing elements 104, the window of a regulation regular length adds up to the prospect after denoising, specifically forms, comprising:
Window judging unit 301, whether be used for judging in stationary window is that first time is cumulative, carry out different operations according to judged result to data;
Frame difference prospect summing elements 302, if window judging unit 301 judges that stationary window is cumulative as first time, then frame difference prospect summing elements 302 directly carries out adding up to new prospect, if window judging unit 301 judges that stationary window is not that first time is cumulative, then frame difference prospect summing elements 302 is while cumulative new prospect, deducts the prospect just going out window;
Accumulation threshold judging unit 303, is used for judging whether each point accumulative frequency of cumulative foreground point in stationary window exceedes threshold value;
Smog template-setup unit 304, the cumulative foreground point being used for accumulative frequency to reach threshold value makes marks operation in the smog template position of correspondence.
Part V, joint area unit 105, the point labeled to the smog template-setup unit 304 in prospect summing elements 104 carries out joint area and the correlation parameters such as reference area, gray scale, barycenter.
Part VI, gradient calculation unit 106, obtains the average gradient value of join domain in joint area unit 105, as one of condition judging to report to the police.
Part VII, pseudo-smog rejected unit 107, the correlation parameter obtained according to joint area unit 105 and gradient calculation unit 106 also utilizes the conditions such as the shape of smog, color, movement tendency and neighboring area to carry out the rejecting of pseudo-smog.The suspicious region of not rejecting is stored.
Part VIII, characteristic matching unit 108, carries out characteristic matching by the smog suspicious region that pseudo-smog rejected unit 107 is not rejected.Whether mated with historical frames data by current frame data, adopting is that arest neighbors selects condition as matching area.Coupling restrictive condition comprises gray scale and area change.By its matching times, 1 is added for the suspicious region that the match is successful.
Part IX, judges alarm unit 109, and the coupling frame number of each suspicious region recorded according to characteristic matching unit 108 and threshold value relation judge whether to report to the police.
With the above-mentioned Smoke Detection module based on video accordingly, the Smoke Detection module whole workflow that the present invention is based on video is divided into nine steps:
Step 401, obtains color video, utilizes camera to obtain the real time video image data of guarded region.
Step 402, three frame differences ask for scattered foreground area.As shown in Figure 7, two frames adjacent in video, by the appropriate threshold value T1 of setting, are done frame difference and saving result by step 501; Neighbor frame difference result is carried out and operation by step 502 again, and when two parts frame difference result all meets threshold value T1, three frame difference results of this some correspondence are true; Three frame difference result assignment are given in three corresponding frame differential mode plates by step 503.
Step 403, carries out opening operation to frame difference result, carries out opening operation remove noise to the three frame difference results obtained in step 402.Some trickle noises may be comprised in the foreground area that in step 402, frame difference goes out, by opening operation, these noises be got rid of.And the edge of suspicious region is done smoothing processing by opening operation.
Step 404, stationary window frame interior difference result adds up, and adds up in the window that frame number is fixing continuously in time of the every frame foreground point after denoising.Step 601 judges whether setting window carries out first time and add up, and carries out different steps according to judged result difference; If step 601 judges that setting window is not that first time is cumulative, then the prospect newly entering window is added by step 602; Then the prospect just having gone out window the time cuts by step 603; If step 601 judges to set window as cumulative for the first time, then step 604 directly adds up to the prospect newly entered; Step 605 judges that in setting window, whether each foreground point accumulative frequency exceedes setting threshold value T2, if exceed threshold value T2, is then set as 1 by this correspondence position, otherwise is set as 0 in smog template.Window size is set as 30, i.e. continuous print 30 frame three frame difference result on accumulation interval.
Step 405, prospect connects, and step 404 is set as in smog template the point of 1 carries out joint area.Centered by a certain gauge point, carry out four neighborhood connection handlings, all adjacent gauge points are carried out joint area.Calculate the area of join domain, average gray, barycenter, girth simultaneously.
Step 406, intra-zone gradient calculation.The distribution of smog interior intensity should present more level and smooth feature, can be used as judge that whether doubtful foreground area is a standard of smog according to this feature.According to certain any 4 Grad calculating these points up and down.Gradient calculation formula is:
nAvgGrad=(∑nGrad)/Num
nGrad=|f1-f2|+|f3-f4|
Wherein nAvgGrad is the average gradient value of foreground area; NGrad is the Grad of foreground area every bit; Num is the gauge point number of foreground area; F1, f2, f3, f4 are four neighborhood point gray-scale values of required point.
Step 407, according to the pseudo-smoke region of pre-conditioned exclusive segment.The rejecting of pseudo-smog is carried out according to the shape of smog, color, movement tendency and neighboring area.Mainly comprise following a few part:
1, the eliminating of essential characteristic, restrictive condition is respectively:
(1) whether suspicious region size meets setting threshold value.Some too small or excessive pseudo-smoke region are got rid of by the minimax region area of smog in setting detected image.
(2) suspicious region average gray restriction.Black smoke, white cigarette, its gray-scale value of blue or green cigarette, all in certain scope, is undertaken getting rid of pseudo-smoke region by the intensity value ranges setting suspicious region.
(3) suspicious region filling rate restriction.Filling rate is the ratio of suspicious region area and suspicious region minimum enclosed rectangle.Smog has stronger diversity, utilizing this character of smog by setting suitable filling rate, effectively can get rid of most of pseudo-smoke region.
(4) suspicious region the ratio of width to height restriction.Smog is in the process of waving, and its ratio of width to height changes within the specific limits.The false smoke region of exclusive segment is come by the ratio of width to height setting suspicious region.
(5) whether inside, suspicious region is level and smooth.The inner smooth features in the average gradient information response suspicious region calculated in step 406.No matter be which kind of smog, its inside all shows smoothness properties.Can effective exclusive segment puppet smoke region by setting average gradient threshold value.Gradient operator in step 406 can take any one, and its threshold value is different according to the difference of operator.
2, get rid of according to color-values feature.The no matter inclined grey black in smoke region or white, the difference of R, G, B component is all less, gets rid of by setting R, G, B threshold value the suspicious region that color information does not meet smoke characteristics.The color image format that the present invention adopts is YUV, and YUV image directly can not embody the color information of object, therefore determinating area is carried out color space conversion.Wherein YUV changes RGB and can adopt any one mode.
3, suspicious region peripheral information judges.This judgement is mainly for the suspicious region compared with small size.The black smoke that igniting generates, a key character is that in smoke region, below has one piece of highlight regions.Judge whether suspicious region is smog by the position relationship detecting suspicious region and highlight regions.Above detecting that if continue highlight regions is in smog suspicious region, then think and do not meet established standards, this smog suspicious region is rejected.
Step 408, template resets, and the smog template of the pseudo-smoke region of rejecting in step 407 is reset.The doubtful smoke region of not rejecting and related data are carried out preserving as historical data.
Step 409, characteristic matching.Matching operation is carried out to the suspicious region do not excluded in step 7.Suspicious region in the previous frame historical data of the suspicious region occurred in present frame and step 408 being preserved is mated.Matching condition comprises gray scale and area change.If the suspicious region in the suspicious region in present frame and historical data all changes not quite in average gray, area change, meet setting threshold value, then think coupling, matching times adds 1.
Step 410, judges whether to report to the police according to coupling frame number and threshold value relation.Think that this suspicious region is smog generation area when matching times arrives setting threshold value T3, provide warning.
Any those skilled in the art may utilize the technology contents of above-mentioned announcement to be changed or be modified as the Equivalent embodiments of equivalent variations.But everyly do not depart from technical solution of the present invention content, any simple modification, equivalent variations and the remodeling done above embodiment according to technical spirit of the present invention, still belong to the protection domain of technical solution of the present invention.

Claims (6)

1. the detector with steady type radiator structure, it is characterized in that: comprise shell, upper cover, sheet metal component, circuit board, camera lens, buttock line, wherein, one end of described upper cover and described housing hinge, described circuit board is fixedly mounted on sheet metal component, described sheet metal component is fixedly mounted in described shell, described shell comprises protecgulum, center section and bonnet, described camera lens is arranged on described sheet metal component, described buttock line is connected with described circuit board through described bonnet, described camera lens comprises the first camera lens and the second camera lens, described first camera lens is arranged on B/W camera front end, described first camera lens front end is provided with an optical filter by optical filter adapter ring, described second camera lens is arranged on colour TV camera front end, described B/W camera and colour TV camera are arranged on sheet metal component, described colour TV camera comprises high definition module, described circuit board is integrated with power module, described circuit board is provided with process chip, the upper surface of described process chip is connected with heat radiator, described heat radiator is fixedly connected with described circuit board.
2. a kind of detector with steady type radiator structure according to claim 1, it is characterized in that, the inner side of described upper cover is pasted with sealing EVA foam, described shell and the described upper cover place of being tightly connected are provided with sealing rubber strip, described sealing EVA foam surface uniform pastes conductive fabric, and seamless between the two after pasting, described sealing rubber strip surface is pasted with conductive fabric completely, and after pasting, conductive fabric surface smoothing is seamless between the two.
3. a kind of detector with steady type radiator structure according to claim 1, it is characterized in that, described colour TV camera is encapsulated in shell, the cylindrical, hollow encapsulating shell that shell is made up of Stainless steel 316 L, shell protecgulum is provided with clear glass, colour TV camera is arranged on the side near front end clear glass, and colour TV camera can carry out collection surrounding situation map picture through front glass simultaneously; Shell bonnet has two wiring holes, and a hole is used for connecting power line, powers to colour TV camera, and another one hole is used for connecting fiber cable, for the video signal of colour TV camera collection being transferred to hundred meters or the outer Control Room of km.
4. a kind of detector with steady type radiator structure according to claim 1, is characterized in that, comprises based on video smoke detection module, describedly comprises based on video smoke detection module:
Part I, video image acquiring unit, is used for obtaining the vedio data of guarded region and data is passed to and ask for prospect unit;
Part II, asks for prospect unit, utilizes three frame difference methods to ask for scattered foreground point;
Part III, denoising unit, utilizes opening operation to operate and carries out denoising operation to the prospect that the prospect unit of asking for is asked for, eliminate trickle noise;
Part IV, prospect summing elements, the window of a regulation regular length adds up to the prospect after denoising;
Part V, joint area unit, the point cumulative prospect being reached threshold value carries out joint area and the correlation parameters such as reference area, gray scale, barycenter;
Part VI, gradient calculation unit, obtains the average gradient value of join domain in joint area unit, as one of condition judging to report to the police;
Part VII, pseudo-smog rejected unit, the correlation parameter obtained according to joint area unit and gradient calculation unit also utilizes the conditions such as the shape of smog, color, movement tendency and neighboring area to carry out the rejecting of pseudo-smog, is stored the suspicious region of not rejecting;
Part VIII, characteristic matching unit, characteristic matching is carried out in the smog suspicious region that pseudo-smog rejected unit is not rejected, current frame data is mated with historical frames data, whether adopt is that arest neighbors selects condition as matching area, coupling restrictive condition comprises gray scale and area change, for the suspicious region that the match is successful, its matching times is added 1;
Part IX, judges alarm unit, judges whether to report to the police according to the coupling frame number of each suspicious region of characteristic matching unit record and threshold value relation.
5. a kind of detector with steady type radiator structure according to claim 4, is characterized in that, described in ask for prospect unit and comprise:
Image storage unit, is used for the vedio data obtained in store video images acquiring unit;
Frame difference computing unit, it is poor to be used for the frame of adjacent two frames in computed image storage unit;
Frame difference result storage unit, be used for preserving frame difference computing unit calculate after result;
Three frame difference computing units, carry out and operation neighbor frame difference result in frame difference result storage unit;
Three frames difference result storage unit, be used for preservation three frame difference computing unit calculate after result.
6. a kind of detector with steady type radiator structure according to claim 4, is characterized in that, described prospect summing elements comprises:
Window judging unit, whether be used for judging in stationary window is that first time is cumulative, carry out different operations according to judged result to data;
Frame difference prospect summing elements, if window judging unit judges that stationary window is cumulative as first time, then frame difference prospect summing elements directly carries out adding up to new prospect, if window judging unit judges that stationary window is not that first time is cumulative, then frame difference prospect summing elements is while cumulative new prospect, deducts the prospect just going out window;
Accumulation threshold judging unit, is used for judging whether each point accumulative frequency of cumulative foreground point in stationary window exceedes threshold value;
Smog template-setup unit, the cumulative foreground point being used for accumulative frequency to reach threshold value makes marks operation in the smog template position of correspondence.
CN201510595413.3A 2014-12-01 2015-09-18 Detector with stable heat radiation structure Pending CN105185023A (en)

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CN201410710015.7A CN104410830A (en) 2014-12-01 2014-12-01 Device based on video smoke detection, and method based on video smoke detection
CN2014107100157 2014-12-01
CN201510595413.3A CN105185023A (en) 2014-12-01 2015-09-18 Detector with stable heat radiation structure

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Cited By (1)

* Cited by examiner, † Cited by third party
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CN108780267A (en) * 2016-03-23 2018-11-09 日立汽车系统株式会社 Installed video processing unit

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN106872973B (en) * 2017-04-26 2021-05-18 福建省龙岩市气象局 Method for monitoring and tracking forest fire echo by using CINRAD/SA weather radar
CN108760590B (en) * 2018-03-08 2021-05-18 佛山市云米电器科技有限公司 Kitchen oil smoke concentration detection and interference elimination method based on image processing
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CN108898782B (en) * 2018-07-20 2020-12-11 湖北烽火平安智能消防科技有限公司 Smoke detection method and system for infrared image temperature information identification for tunnel fire prevention
CN109272469A (en) * 2018-09-29 2019-01-25 佛山市云米电器科技有限公司 A kind of acquisition method and its device of kitchen range oil smoke image
CN109028233B (en) * 2018-09-29 2020-11-10 佛山市云米电器科技有限公司 Kitchen oil smoke concentration dividing method, oil smoke image recognition system and range hood
CN111122188A (en) * 2018-10-30 2020-05-08 宁波方太厨具有限公司 Device for collecting flue gas flowing condition on boiler side of stove and display method
CN110021137A (en) * 2019-03-28 2019-07-16 赛特威尔电子股份有限公司 A kind of smog alarm method, apparatus, smoke alarm device and storage medium
CN111462451B (en) * 2019-11-01 2022-04-26 武汉纺织大学 Straw burning detection alarm system based on video information
CN113409536B (en) * 2021-07-29 2022-11-29 重庆予胜远升网络科技有限公司 Power equipment potential fire alarm recognition system and method based on machine vision

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0916869A (en) * 1995-06-27 1997-01-17 Matsushita Electric Works Ltd Smoke and heat composite sensor
CN201813490U (en) * 2010-10-19 2011-04-27 王兆群 Vehicle-mounted security monitoring camera device
CN103685895A (en) * 2013-12-30 2014-03-26 博康智能网络科技股份有限公司 Surveillance camera housing
CN104410830A (en) * 2014-12-01 2015-03-11 天津艾思科尔科技有限公司 Device based on video smoke detection, and method based on video smoke detection
CN204496642U (en) * 2015-04-08 2015-07-22 天津艾思科尔科技有限公司 A kind of dual-band image type fire detecting arrangement

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0916869A (en) * 1995-06-27 1997-01-17 Matsushita Electric Works Ltd Smoke and heat composite sensor
CN201813490U (en) * 2010-10-19 2011-04-27 王兆群 Vehicle-mounted security monitoring camera device
CN103685895A (en) * 2013-12-30 2014-03-26 博康智能网络科技股份有限公司 Surveillance camera housing
CN104410830A (en) * 2014-12-01 2015-03-11 天津艾思科尔科技有限公司 Device based on video smoke detection, and method based on video smoke detection
CN204496642U (en) * 2015-04-08 2015-07-22 天津艾思科尔科技有限公司 A kind of dual-band image type fire detecting arrangement

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108780267A (en) * 2016-03-23 2018-11-09 日立汽车系统株式会社 Installed video processing unit

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