CN107549036A - Based on electricity, the aquatile behavior on-line monitoring system of vision signal and method - Google Patents
Based on electricity, the aquatile behavior on-line monitoring system of vision signal and method Download PDFInfo
- Publication number
- CN107549036A CN107549036A CN201610628832.7A CN201610628832A CN107549036A CN 107549036 A CN107549036 A CN 107549036A CN 201610628832 A CN201610628832 A CN 201610628832A CN 107549036 A CN107549036 A CN 107549036A
- Authority
- CN
- China
- Prior art keywords
- aquatile
- biology
- individual
- behavior
- room
- 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.)
- Granted
Links
Abstract
The invention discloses based on electricity, the aquatile behavior on-line monitoring system of vision signal and method, aquatile behavior sensor including electric field and video technique to be integrated into a device, the aquatile behavior sensor are handled by the aquatile behavior signal gathered using electric field and using video data transmission to the computer terminal of the aquatile of camera device collection;In computer terminal, pinpoint monitoring of the video data processing realization to aquatile to aquatile is realized using video trace location algorithm.The algorithm of the application passes through to the individually analysis of each individual, separate the respective pixel block for the multiple periods for representing each individual, skeleton is established to block of pixels and is cut into slices along skeleton direction, analyze the size of every section of section, extract each individual characteristic, even if occurring the situation of this cross-mixing again, as long as have two individuals be kept completely separate after data, each individual can be still corresponded to, keeps being accurately positioned.
Description
Technical field
The present invention relates to biological monitoring technical field, and in particular to the aquatile behavior based on electricity, vision signal is online
Monitoring system and method.
Background technology
Behavior catching mode based on Fish behavior, fish locomotion strength signal is gathered by electric field, its technology is logical
Four electrodes are crossed, relative two-by-two is one group, intercommunication positive and negative electrode, produces electric field between the electrodes, while at electrode connection signal
End is managed, is responsible for collection electric field signal change, when aquatile moves in the electric field, interference, signal transacting can be produced to electric field
End captures the electric signal of change, is achieved in the positioning to aquatile, synchronism output intensity of performance data;Another technology
Mainly using the video data of multiple cameras collection, realized using video frequency tracking technology and identification location algorithm in video
Aquatile three-dimensional localization, and export the data such as its position, speed.
At present, positive threshold alerts, positioning error, the incomplete problem of data in the simple use of prior art be present.When
Preceding technology relies primarily on intensity of performance index, is overly dependent upon the variable signal of electric field, and this can cause intensity of performance signal not only
Can collect fish locomotion, even water volume flow rate, feed the change of the external environments such as food and may also can make intensity of performance signal intensity,
In addition, it is difficult to be accurately positioned fish particular location to monitor motor message using electric field merely, and differentiates fish individual ability
It is low, easily make erroneous judgement, for example two fishes are intersected when converge, it is easy to identity is overturned when two fishes separate again.
The content of the invention
To solve the shortcomings of the prior art, the invention discloses the aquatile behavior based on electricity, vision signal to exist
Line monitoring system and method, on the basis of electric field measurement, add the auxiliary positioning of multiple cameras, and supporting biology
Recognizer, that is, the data acquisition error rate in simple electric field monitoring is reduced, also enrich the data acquisition side of intensity of performance
Formula, while better tightness, compared to current behavior intensity collection sensor, the accuracy for adopting data can be improved, reduces noise.
To achieve the above object, concrete scheme of the invention is as follows:
Aquatile behavior on-line monitoring system based on electricity, vision signal, including electric field and video technique are integrated into
The aquatile behavior sensor of one device, the aquatile row that the aquatile behavior sensor will be gathered using electric field
Handled for signal and using video data transmission to the computer terminal of the aquatile of camera device collection;
The pinpoint monitoring to aquatile is realized in video data processing of the computer terminal to aquatile.Counting
Calculation generator terminal carries out processing realization to the data of collection using video trace location algorithm and is accurately positioned.
Further, the aquatile behavior sensor includes biology raising room, outer sleeve and taken with outer sleeve
The upper lid matched somebody with somebody, outer sleeve have at one raised close to the bottom of side wall, bring up room lower opening with biology and coincide, upper lid and biology
The correspondence position for bringing up room upper end is provided with bayonet socket and is used to leave installation camera, another relative with biology raising room of outer sleeve
Camera is installed, biology brings up chamber interior walls and is provided with electrode in one side wall.
Further, the electrode is four iron plate electrodes, is respectively disposed on to be spacedly distributed and brings up chamber interior walls in biology
On four grooves in, conductive screw is installed in the position perforating of iron plate electrode centers, conductive screw end thereof contacts iron plate electrode,
The other end is brought up on the outside of the locular wall of room in biology, is responsible for being fixed for the data wire for gathering signal.
Further, the biology brings up room, outer sleeve is dismountable.
Further, the biology brings up room, outer sleeve is to be integrally formed by 3D printing.
Preferably, it is cylinder that the biology, which brings up room,.
Further, the biology, which is brought up below room and had at the raised brim of outer sleeve bottom, leads to outside
Water pipe, the water inlet of room is brought up as biology, biology, which brings up room side, equally has a water pipe for leading to outside, as the biography
The delivery port of sensor.
Further, can be left to dispose the space of LED at one, at that time inside the bottom protrusion of the outer sleeve
The daylighting of whole device can be ensured from bottom polishing;The bottom of somewhere outer sleeve among room and side camera is brought up in biology
Portion is provided with multiple seepage points.
Further, the electrode is divided into two groups, wherein first group of electrode continuously launches low pressure sine high-frequency signal, second
Group electrode receives first group of electrode signal after Biology seed coating interference in monitored area, by Different electrodes contact, by
Data line transfer is realized and Biology seed coating is parsed to computer terminal.
Aquatile behavior on-line monitoring method based on electricity, vision signal, including:
Utilize the aquatile behavior signal of aquatile behavior sensor collection and the video data and biography of aquatile
Transport to computer terminal;
The identification wholly or largely scattered situation of individual, and the two field picture is converted into gray scale of the frame frame of computer terminal one
Pattern, wiping out background value, each individual block of pixels is represented preferably to find out, if just have in the two field picture two or
The situation of multiple individual intersections occurs, then abandons the block of pixels of this more individuals, single volumetric pixel block is handled, by right
Single body extracts profile diagram, constructs center line, and is cut into slices along center line, completely identifies the data of single body.
Further, when starting video surveillance positioning, once the situation of individual intersection occurs again, in computer terminal meeting
Catch and intersect front and rear frame data, two individuals are kept completely separate, and are compared using database, so as to by the individual after intersection
Correspond to prechiasmal situation.
Based on what is utilized in electric, vision signal aquatile behavior on-line monitoring method calculation is positioned for video trace
Method, it is specially:
Segmentation, camera transmits each frame data collected a series of to computer terminal, computer terminal Automatic-searching
Be markedly different from the block of pixels of the continuous motion of background value, judge the block of pixels whether be an individual standard;
Image all suitable for splitting is converted into intensity map:Image suitable for segmentation is that each individual does not intersect mutually
Or intersect very little, once there is the situation that multiple individuals are got together, the two field picture is unsuitable for splitting;
Individual choice:Need that block of pixels and noise pixel block point of the block of pixels with multiple individual intersections of individual will be represented
Leave and, by being compared previously in the data collected in time, random selection number frame independent image is as reference
Build individual images;
Handle reference picture:The a series of images of corresponding each individual is extracted from video, including the individual
Various action forms, the individual a certain state newly monitored, by being contrasted with each reference picture, so that it is determined that being not
It is the individual for belonging to the reference picture;
Determine ID:Once it is determined that certain some independent pixel block monitored in certain frame in video is to belong to a series of reference charts
As the block of pixels is the individual, assigns its ID that this serial reference image has;
Build track:The central point of each individual is calculated, and finally using the mobile route of central point as source track drafting.
Beneficial effects of the present invention:
The present apparatus is innovative to enter two technological incorporation in one system, builds the aquatic life based on electricity, vision signal
Thing behavior on-line monitoring system and method, realize to single individual behavior analysis in the case of more individuals while monitoring, ensure behavior
The property of spy one and continuity of signal and result, that is, the positive errors that independent electric field monitoring easily occurs are avoided, enriches and regards again
The data degree of frequency acquisition technique.The device meets the individual identification of biological subject, tracer and behavior under water environment conditions and adopted
Collection and the technology of on-line analysis need, and complete the hardware condition of aquatile individual identification and behavior analysis system;It is different dirty
The research of biological subject behavior response and model analysis under environment-stress caused by contaminating thing, different biologies are inquired into different pollutants
Threshold limit value is reacted, realizes the software condition of aquatile individual identification and behavior analysis system.
Electric field is monitored and is united with video surveillance by the present invention, that is, reduces the generation of the positive alarm of electric field monitoring,
The data acquisition of video surveillance, while better tightness are also enriched, compared to former intensity of performance on-line monitoring system, can be carried
Height adopts the accuracy of data, reduces noise.
The application is by the individually analysis of each individual, separating the respective pixel for representing each multiple periods of individual
Block, skeleton is established to block of pixels and is cut into slices along skeleton direction, the size of every section of section is analyzed, extracts each individual characteristic
According to, even if occurring the situation of this cross-mixing again, as long as have two individuals be kept completely separate after data, can still correspond to
Each individual, keeps being accurately positioned.
Brief description of the drawings
The overall structure diagram of Fig. 1 present invention;
The biology of Fig. 2 present invention brings up cell structure schematic diagram;
The biology of Fig. 3 present invention brings up room side data link linkage schematic diagram;
The underwater sound biology of Fig. 4 present invention intersects video surveillance image;
The possible two kinds of route schematic diagrames of intersection of Fig. 5 (a)-Fig. 5 (b) present invention;
In figure, 1, biology bring up room;2nd, water inlet;3rd, raised water plug;4th, seepage point;5th, outer sleeve;6th, side images
Head;7th, upper lid;8th, top camera;9th, delivery port;10th, fixator;11st, biology brings up room main body;12nd, electrode.
Embodiment:
The present invention is described in detail below in conjunction with the accompanying drawings:
Electric field and video fusion are entered in a device, are somebody's turn to do by brand-new design aquatile behavior sensor by the present invention
Device is always divided into three parts, and biology brings up room 1, outer sleeve 5, upper lid 7.Whole device is powered for 5V, can connect external electrical
Road plate or USB directly power.
As shown in figure 1, biology brings up room 1, generally cylinder of different sizes corresponding to different types of fish is high about
6-30cm, diameter about 3-25cm, top hollow out, in addition the also long wide 5-30cm of 10-50cm cuboid outer sleeve 5 and
The upper lid 7 arranged in pairs or groups therewith, by by biology bring up the upper end of room 1 and lower end install lid 7 respectively and outer sleeve 5 form one it is close
The entirety of envelope;Projection water plug 3 at one is arranged at the bottom of outer sleeve 5, brings up the lower opening of room 1 with biology and coincide, for biology to be supported
Brood chamber 1 is fixed on the bottom of outer sleeve 5, and there are the water pipe for leading to outside, entering as the sensor in the raised edge of water plug 3
The mouth of a river 2;Biology, which brings up the side of room 1, equally has a water pipe for leading to outside, the delivery port 9 as the sensor, and biology is supported
The side wall of brood chamber 1 is fixed on by fixator 10 in the side wall of outer sleeve 5.
Biology brings up the structure of room 1 as shown in Fig. 2 bringing up room main body 11 including biology, and biology is brought up the inwall of room 1 and divided at equal intervals
Four grooves are furnished with, dispose four iron plate electrodes 12, electrode 12 is stainless steel electrode, the position perforating at corresponding iron plate center, peace
Conductive screw, end thereof contacts iron plate electrode 12 are filled, the other end is brought up on the outside of the locular wall of room 1 in biology, is responsible for being fixed for collection letter
Number data wire, concrete structure is as shown in Figure 3;Every group of electrode is made up of the two pairs of electrodes being oppositely arranged, the structure of every group of electrode
Unanimously, one of which electrode continuously launches low pressure sine high-frequency signal, and second group of electrode is received by biological row in monitored area
To disturb first group of later electrode signal, by Different electrodes contact, by data line transfer to computer terminal, by special letter
Number identification software, is parsed to Biology seed coating, and realizes the collection of Biology seed coating signal, and the virtual signal of collection is converted
For data signal, Biology seed coating data processing centre is transported to.
Biology brings up the upper opening of room 1, while the correspondence position of upper lid leaves the bayonet socket of installation camera, is the sensor
The position of top camera 8,6 external member mounted externally of the side camera other end relative with biology raising room;Camera master
It is used for video trace location algorithm, is responsible for cooperatively forming computer binocular vision with side camera.
It is segmentation first on the flow of the video trace location algorithm, starts in system to formal and start to identify work
Between have one piece of data time, during this period of time, camera transmits each frame data collected to computer terminal,
A series of block of pixels of system meeting continuous motions for being markedly different from background value of Automatic-searching, general this block of pixels just represent
An individual, judge whether the block of pixels is that we term it threshold value, the standard to be set by the user for the standard of an individual, generally
It is set at according to tested species difference between 50-250.
Image all suitable for splitting is converted into intensity map by second step, and the image for being suitable to segmentation herein is that each individual is mutual
Mutually without intersecting or intersecting very little, once there is situations such as multiple individuals are got together, the two field picture is unsuitable for splitting.
3rd step is individual choice.We need to represent individual block of pixels with the block of pixels of multiple individual intersections and
Noise pixel block is separated, and this will be contrasted with the data collected in time before, and random selection 3-8 frames are independent
Image is used as with reference to structure individual images.
4th step handles reference picture.We have extracted a series of images of corresponding each individual from video now,
Including the various action forms of the individual, the individual a certain state newly monitored, by being done pair with each reference picture
Than so that it is determined that whether belonging to the individual of the reference picture.
5th step, determines ID.Once it is determined that certain some independent pixel block monitored in certain frame in video is to belong to a system
Row reference picture, the block of pixels is the individual, assigns its ID that this serial reference image has.
6th step builds track.System can accomplish to follow the trail of at present each individual, and next we can calculate
The central point of each individual, and finally using the mobile route of central point as source track drafting.
Lower water inlet is mainly responsible for water inlet and illumination, and projection is that can completely is caught in the bottom that biology brings up room, is also provided
The space of LED operation, LED is arranged on raised bottom during system operation, through intermediate interlayer is package unit polishing, convex
Play side wall and twice elastic tape is installed, first, increasing friction force, preferably fixed biology brings up room, second, playing sealing water proof
Effect, makes current to be flowed out from side delivery port.
It is upper to cover mainly responsible shading sealing and top shooting tracer, there is breach corresponding with biology raising ceiling portion, and
And inside is provided with a top camera, the camera coordinates with side camera, is collectively forming computer binocular vision, the mouth
It is connected with sealing chamber in the form of bayonet socket, convenient connection and dismounting.
Can be left to dispose the space of LED at one inside the bottom protrusion of outer sleeve, at that time can from bottom polishing,
Ensure the daylighting of whole device;There are multiple seepage points in the bottom that biology brings up somewhere outer sleeve among room and side camera
4, prevent biology from bringing up room and causing water during leak to overflow whole device with contacting not tight or other reasonses elsewhere.
The aquatile behavior sensor is arranged to removably, and main cause is conveniently to clean, but is also resulted in
There is sealing problem in device, is solved although we can customize rubber ring in interface, over time easily abrasion,
As another implementation of the present invention, above-mentioned aquatile behavior sensor of the invention can also be one
The one-piece type sealing device of kind, whole device are integrally formed by 3D printing, i.e., it is one that biology, which brings up room with outer sleeve junction,
Body, while thickening reinforcement measure is arranged at bottom, ensures the stability of device, the device can be rushed periodically using the larger current of pressure
Wash, its width also stretches into a fritter cleaning appliance and is used to clean enough.
When in use, package unit assembling finishes, from the water pipe water inlet below outer sleeve, the water pipe water outlet from side,
Biological bring up is put into appropriate experimental monitoring with fish in room, fortune when whole biology raising room starts for system as aquatile
Dynamic place, so sealing water isolating must be fine, upper to cover sealing, after whole system starts, on the one hand biology brings up room
Interior four plate electrode is started working, and electric field is formed in biology brings up room, and starts to gather the movable information of fish in the electric field, separately
On the one hand, top works with side camera, forms binocular vision, and by video information transmission into work station, pass through us
Three-dimensional localization fingerprint trace algorithm auxiliary positioning and data processing.The algorithm is assigned each individual unique by computer
Fingerprint, ensure the accuracy of bio-identification positioning, because before after running into two fishes and intersecting separation, traditional video identification is calculated
Method is easy to be disturbed, and the underwater sound biology of Fig. 4 present invention intersects video surveillance image, A fishes and B fishes and intersects phase from both direction
Meet, when two fishes separate again, it may appear that two kinds of situations, as shown in Fig. 5 (a)-Fig. 5 (b), one kind is that C fishes and D fishes are right respectively
A fishes and B fishes are answered, it is B fishes and A fishes that another C fishes are corresponding respectively with D fishes, and traditional video recognition algorithms can not be differentiated on earth
There occurs any situation, therefore the situation for having very big probability that individual identification dislocation occurs, tested in a behavior monitoring
During such case many times occurs, so the data that result in positioning are extremely inaccurate, in addition, often occur
Fish swim out of the situation that monitoring range returns again to, and the fish is often identified as new individual by computer, is positioned from newly, this
A little inexactnesies for having resulted in traditional location algorithm.The algorithm of the application is by the individually analysis of each individual, separating generation
The respective pixel block of multiple periods of each individual of table, skeleton is established to block of pixels and is cut into slices along skeleton direction, analyzes every section
The size of section, each individual characteristic is extracted, even if occurring the situation of this cross-mixing again, as long as there are two
Body be kept completely separate after data, can still correspond to each individual, keep being accurately positioned.
More detailed examples of implementation:
The device seal is detected first, each several part assembling is finished, and is filled water and is stood a period of time, has checked whether
Water is spilt.
Detection finishes, and the Biology seed coating sensor that the present embodiment can be utilized to make, by taking zebra fish as an example, is monitored spot
Behavior cyclically-varying of the horse fish in normal water body, specific monitoring test are as follows:
The temperature control carried out is tested at 20 ± 2 DEG C, periodicity of illumination 16H:8D.Flowing water exposure test maintains 4 days.Trying
During testing, at 1 l/h, food is fed flowing water speed control by water system.Utilize Biology seed coating Sensor monitoring spot
Behavior cyclically-varying of the horse fish in normal water body.
After electric signal and vision signal are identified, Biology seed coating signal is acquired, and by the simulation of collection
Signal is converted into data signal, is transported to Biology seed coating data processing centre.Related data can be substituted into water by data processing centre
Raw Biology seed coating threshold model, the concrete behavior stage of Biology seed coating is analyzed, and thus infer water quality condition change.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, model not is protected to the present invention
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deformation that creative work can make still within protection scope of the present invention.
Claims (10)
1. the aquatile behavior on-line monitoring system based on electricity, vision signal, it is characterized in that, including by electric field and video technique
The aquatile behavior sensor of a device is integrated into, the aquatile behavior sensor will gather aquatic using electric field
Biology seed coating signal and video data transmission to the computer terminal of the aquatile gathered using camera device are handled;Counting
Calculate pinpoint monitoring of video data processing realization of the generator terminal to aquatile to aquatile.
2. the aquatile behavior on-line monitoring system based on electricity, vision signal as claimed in claim 1, it is characterized in that, institute
Aquatile behavior sensor is stated to lean on including biology raising room, outer sleeve and the upper lid arranged in pairs or groups with outer sleeve, outer sleeve
Projection at one is arranged at the bottom of proximal wall, brings up room lower opening with biology and coincide, the corresponding position of upper lid and biology raising room upper end
Install and be equipped with bayonet socket for leaving installation camera, shooting is installed in outer sleeve another side wall relative with biology raising room
Head, biology bring up chamber interior walls and are provided with electrode.
3. the aquatile behavior on-line monitoring system based on electricity, vision signal as claimed in claim 2, it is characterized in that, institute
It is four iron plate electrodes to state electrode, is respectively disposed in four grooves for being spacedly distributed and bringing up in chamber interior walls in biology, iron plate
The position perforating of electrode centers, installs conductive screw, conductive screw end thereof contacts iron plate electrode, and the other end brings up room room in biology
On the outside of wall, it is responsible for being fixed for the data wire for gathering signal.
4. the aquatile behavior on-line monitoring system based on electricity, vision signal as claimed in claim 1, it is characterized in that, institute
State biology raising room, outer sleeve is dismountable.
5. the aquatile behavior on-line monitoring system based on electricity, vision signal as claimed in claim 1, it is characterized in that, institute
State biology raising room, outer sleeve is to be integrally formed by 3D printing.
6. the aquatile behavior on-line monitoring system based on electricity, vision signal as claimed in claim 1, it is characterized in that, institute
It is cylinder to state biology and bring up room.
7. the aquatile behavior on-line monitoring system based on electricity, vision signal as claimed in claim 1, it is characterized in that, institute
State biology to bring up below room and have the water pipe for leading to outside at the raised brim of outer sleeve bottom, room is brought up as biology
Water inlet, biology bring up room side equally have one leads to outside water pipe, the delivery port as the sensor.
8. the aquatile behavior on-line monitoring system based on electricity, vision signal as claimed in claim 1, it is characterized in that, institute
Stating can leave to dispose the space of LED at one inside the bottom protrusion of outer sleeve, can ensure whole from bottom polishing at that time
The daylighting of individual device;The bottom that somewhere outer sleeve among room and side camera is brought up in biology is provided with multiple seepage points.
9. the aquatile behavior on-line monitoring system based on electricity, vision signal as claimed in claim 2, it is characterized in that, institute
State electrode and be divided into two groups, wherein first group of electrode continuously launches low pressure sine high-frequency signal, second group of electrode is received by monitoring
Biology seed coating disturbs first group of later electrode signal in region, by Different electrodes contact, by data line transfer to computer
End, realizes and Biology seed coating is parsed.
10. any monitoring based on electricity, the aquatile behavior on-line monitoring system of vision signal as described in claim 1-9
Method, it is characterized in that, including:
Using aquatile behavior sensor collection aquatile behavior signal and aquatile video data and transmit to
Computer terminal;
The identification wholly or largely scattered situation of individual, and the two field picture is converted into gray scale mould of the frame frame of computer terminal one
Formula, wiping out background value, each individual block of pixels is represented preferably to find out, if just there are two or more in the two field picture
The situation of individual individual intersection occurs, then abandons the block of pixels of this more individuals, single volumetric pixel block is handled, by list
Individual extraction profile diagram, constructs center line, and is cut into slices along center line, completely identifies the data of single body;
When starting video surveillance positioning, once the situation of individual intersection occurs again, before and after computer terminal can catch intersection
Frame data, two individuals are kept completely separate, and are compared using database, so as to before the individual after intersection is corresponded into intersection
Situation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610628832.7A CN107549036B (en) | 2016-08-02 | 2016-08-02 | Aquatic organism behavior on-line monitoring system and method based on electric and video signals |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610628832.7A CN107549036B (en) | 2016-08-02 | 2016-08-02 | Aquatic organism behavior on-line monitoring system and method based on electric and video signals |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107549036A true CN107549036A (en) | 2018-01-09 |
CN107549036B CN107549036B (en) | 2020-03-27 |
Family
ID=60973415
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610628832.7A Active CN107549036B (en) | 2016-08-02 | 2016-08-02 | Aquatic organism behavior on-line monitoring system and method based on electric and video signals |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107549036B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109633113A (en) * | 2018-12-05 | 2019-04-16 | 环境保护部华南环境科学研究所 | Water quality monitoring method for early warning and system based on medaka behavior model step by step |
CN111280115A (en) * | 2020-04-09 | 2020-06-16 | 浙江省海洋水产养殖研究所 | Fish state identification device based on sound induction feedback and application method |
CN113260253A (en) * | 2018-10-05 | 2021-08-13 | X开发有限责任公司 | Sensor positioning system |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101059493A (en) * | 2006-04-21 | 2007-10-24 | 中国科学院生态环境研究中心 | On-line biosafety pre-alarming method for water quality |
CN101191792A (en) * | 2006-11-24 | 2008-06-04 | 中国科学院生态环境研究中心 | Water quality on-line safe prealarm system and method based on aquatic organism avoidance behavior |
CN102749100A (en) * | 2012-06-27 | 2012-10-24 | 烟台凯思环境技术有限公司 | Biological behavior sensor and monitoring method based on quadrupole impedance and three-dimensional tracing |
CN102866237A (en) * | 2012-09-06 | 2013-01-09 | 华南理工大学 | Water quality safety online biological early warning and monitoring system based on video identification |
CN102944771A (en) * | 2012-10-24 | 2013-02-27 | 中国电力科学研究院 | Simulation experiment device and method of alternating current, direct current and impact performance of large earth screen |
CN103761565A (en) * | 2014-01-07 | 2014-04-30 | 宁波大学 | Underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device and method based on computer vision |
CN104766346A (en) * | 2015-04-15 | 2015-07-08 | 楚雄师范学院 | Zebra fish tracking method based on video images |
KR101622171B1 (en) * | 2015-10-26 | 2016-05-18 | 에이케이티공간정보 주식회사 | Device monitoring water pollution level by analyzing water surfacecolor |
CN105704434A (en) * | 2014-11-28 | 2016-06-22 | 上海新联纬讯科技发展有限公司 | Stadium population monitoring method and system based on intelligent video identification |
-
2016
- 2016-08-02 CN CN201610628832.7A patent/CN107549036B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101059493A (en) * | 2006-04-21 | 2007-10-24 | 中国科学院生态环境研究中心 | On-line biosafety pre-alarming method for water quality |
CN101191792A (en) * | 2006-11-24 | 2008-06-04 | 中国科学院生态环境研究中心 | Water quality on-line safe prealarm system and method based on aquatic organism avoidance behavior |
CN102749100A (en) * | 2012-06-27 | 2012-10-24 | 烟台凯思环境技术有限公司 | Biological behavior sensor and monitoring method based on quadrupole impedance and three-dimensional tracing |
CN102866237A (en) * | 2012-09-06 | 2013-01-09 | 华南理工大学 | Water quality safety online biological early warning and monitoring system based on video identification |
CN102944771A (en) * | 2012-10-24 | 2013-02-27 | 中国电力科学研究院 | Simulation experiment device and method of alternating current, direct current and impact performance of large earth screen |
CN103761565A (en) * | 2014-01-07 | 2014-04-30 | 宁波大学 | Underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device and method based on computer vision |
CN105704434A (en) * | 2014-11-28 | 2016-06-22 | 上海新联纬讯科技发展有限公司 | Stadium population monitoring method and system based on intelligent video identification |
CN104766346A (en) * | 2015-04-15 | 2015-07-08 | 楚雄师范学院 | Zebra fish tracking method based on video images |
KR101622171B1 (en) * | 2015-10-26 | 2016-05-18 | 에이케이티공간정보 주식회사 | Device monitoring water pollution level by analyzing water surfacecolor |
Non-Patent Citations (1)
Title |
---|
胡江龙: "生物式水质监测中目标跟踪和预警分析的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113260253A (en) * | 2018-10-05 | 2021-08-13 | X开发有限责任公司 | Sensor positioning system |
US11659819B2 (en) | 2018-10-05 | 2023-05-30 | X Development Llc | Sensor positioning system |
CN113260253B (en) * | 2018-10-05 | 2023-08-15 | X开发有限责任公司 | Sensor positioning system |
CN109633113A (en) * | 2018-12-05 | 2019-04-16 | 环境保护部华南环境科学研究所 | Water quality monitoring method for early warning and system based on medaka behavior model step by step |
CN109633113B (en) * | 2018-12-05 | 2021-06-29 | 环境保护部华南环境科学研究所 | Water quality monitoring and early warning method and system based on medaka step-by-step behavior model |
CN111280115A (en) * | 2020-04-09 | 2020-06-16 | 浙江省海洋水产养殖研究所 | Fish state identification device based on sound induction feedback and application method |
CN111280115B (en) * | 2020-04-09 | 2021-10-22 | 浙江省海洋水产养殖研究所 | Recognition method of fish state recognition device based on sound induction feedback |
Also Published As
Publication number | Publication date |
---|---|
CN107549036B (en) | 2020-03-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104287946B (en) | Blind person's avoidance suggestion device and method | |
CN102879393B (en) | PH value detection method and device based on image processing | |
CN107549036A (en) | Based on electricity, the aquatile behavior on-line monitoring system of vision signal and method | |
CN104765952A (en) | Tooth-brushing posture detection and assessment system | |
CN105118223B (en) | A kind of wireless optical electric-type smoke alarm | |
CN109253888A (en) | Detection method and system for vehicle vehicle condition | |
CN110930357A (en) | In-service steel wire rope surface defect detection method and system based on deep learning | |
CN109726668B (en) | Hand washing and disinfecting flow normative automatic detection method based on computer vision | |
CN107016697B (en) | A kind of height measurement method and device | |
CN106960210A (en) | The method and apparatus of target detection | |
CN106599890B (en) | digital instrument recognition algorithm for substation inspection robot | |
CN109084749B (en) | Method and device for semantic positioning through objects in environment | |
CN110992415B (en) | Water surface floater pollution evaluation system and method based on big data | |
CN114120094A (en) | Water pollution identification method and system based on artificial intelligence | |
Bei et al. | Sitting posture detection using adaptively fused 3D features | |
CN108593005A (en) | A kind of marine environmental monitoring system based on underwater robot | |
CN104392201B (en) | A kind of human body tumble recognition methods based on omnidirectional vision | |
CN104992428A (en) | Image falling rook volume determination method based on K mean value cluster analysis | |
CN209013299U (en) | Has the kitchen ventilator of gesture control vision-based detection function | |
CN206331450U (en) | A kind of robot face identification system | |
CN209101365U (en) | A kind of cigarette stove all-in-one machine having unmanned identification function | |
CN207215809U (en) | A kind of supporting flow cell of new water quality on-line monitoring instrument | |
CN208805156U (en) | A kind of battery on-line measuring device based on machine vision technique | |
CN111767826A (en) | Timing fixed-point scene abnormity detection method | |
CN109493683A (en) | A kind of auxiliary piano practice person's fingering detection method based on computer vision technique |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |