CN209182844U - A kind of Situation Awareness System based on panoramic vision - Google Patents
A kind of Situation Awareness System based on panoramic vision Download PDFInfo
- Publication number
- CN209182844U CN209182844U CN201822247283.6U CN201822247283U CN209182844U CN 209182844 U CN209182844 U CN 209182844U CN 201822247283 U CN201822247283 U CN 201822247283U CN 209182844 U CN209182844 U CN 209182844U
- Authority
- CN
- China
- Prior art keywords
- video
- panoramic
- detector
- monitoring
- receiver
- 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.)
- Active
Links
Landscapes
- Studio Devices (AREA)
Abstract
The utility model discloses a kind of Situation Awareness Systems based on panoramic vision, including mobile deployment unit and comprehensive manipulation unit, mobile deployment unit includes mobile deployment platform, mobile deployment platform is equipped with multi-detector spliced panoramic monitoring module, panoramic video processing module, panoramic video monitoring control cabinet and video and sends optical transmitter and receiver, comprehensive manipulation unit includes comprehensive operation bench, and comprehensive operation bench is equipped with video reception optical transmitter and receiver, monitoring management module, the network switch, Web Video Service unit, video display and management display;The utility model can carry out comprehensive television monitoring and whole Situation Awareness to specified region, and image quality is high, stable and reliable for performance, and operating distance is remote, detectivity is strong, applied widely.
Description
Technical field
The utility model relates to situational awareness techniques field more particularly to a kind of Situation Awareness systems based on panoramic vision
System.
Background technique
People is referred to as Situation Awareness to the process of the perception of environmental information, understanding and prediction, during Situation Awareness, depending on
Feel is important perception means, has the characteristics that abundant information, visual in image, accuracy is high, timeliness is strong.Visual imaging technology
The cognitive ability of policymaker can be given full play to, strengthens perception and understanding to information, is widely used in Situation Awareness System.
Situation Awareness System based on panoramic vision is using sensor technology, panorama optic-mechanical design technology, panoramic picture
Environmental information is converted to image information by processing technique etc., is shown on the screen, and theory, method and the skill interacted
Art.
Current existing panoramic vision Situation Awareness System implementation has following four: first is that the mobile splicing of simple detector
Overall view visual system, such method detection imaging real-time is poor, is generally used for low speed occasion;Second is that being based on fish-eye light
Panoramic vision sensory perceptual system is learned, such method imaging resolution is lower, detection range is relatively close, generally within one kilometer;Three
The reflective overall view visual system being made of a curved reflector and a video camera, such method imaging effect is general,
Detection range is closer, generally within one kilometer;Fourth is that the refraction-reflection type panoramic vision being made of refringent/reflection lens group and video camera
System, such method imaging effect is general, and detection range is closer, generally within one kilometer.Comprehensively consider above-mentioned five kinds of systems
The factors such as technical difficulty, optical manufacturing level, detection range, resolution ratio, the real-time of realization select multi-detector panoramic mosaic
Situation Awareness System comprehensive performance advantage it is prominent.
Utility model content
The purpose of the utility model is to provide a kind of Situation Awareness System based on panoramic vision, can to specified region into
The comprehensive television monitoring of row and whole Situation Awareness, image quality is high, stable and reliable for performance, and operating distance is remote, detectivity
By force, applied widely.
The technical solution adopted in the utility model are as follows:
A kind of Situation Awareness System based on panoramic vision, including mobile deployment unit and comprehensive manipulation unit;
Mobile deployment unit includes mobile deployment platform, and mobile deployment platform is equipped with multi-detector spliced panoramic and monitors mould
Block, panoramic video processing module, panoramic video monitoring control cabinet and video send optical transmitter and receiver, panoramic video monitoring control cabinet
It is interior to be equipped with panoramic optical and communication control unit;Video sends optical transmitter and receiver and monitors control cabinet and panoramic video by panoramic video
Processing unit is electrically connected multi-detector spliced panoramic monitoring module;
Comprehensive manipulation unit includes comprehensive operation bench, and comprehensive operation bench is equipped with video reception optical transmitter and receiver, monitoring management mould
Block, the network switch, Web Video Service unit, video display and management display;Video reception optical transmitter and receiver passes through four cores
Optical fiber sends optical transmitter and receiver with video and connect, and video reception optical transmitter and receiver is electrically connected monitoring management module, Web Video Service
Unit and video display, monitoring management module be electrically connected the network switch and with management display;
The multi-detector spliced panoramic monitoring module includes mounting rack, obliquity sensor and multiple detector modules, is inclined
Angle transducer is arranged on mounting rack, and multiple detector modules are along the circumferential direction uniformly arranged on mounting rack;Detector module
Including optical lens and camera;
The panoramic video processing module includes integrated treatment plate and multiple subprocessing plates, subprocessing plate respectively with detector
Module connects one to one, and integrated treatment plate is separately connected with multiple subprocessing plates.
Further, the panoramic optical and communication control unit include single-chip microcontroller and are arranged on single-chip microcontroller parallel bus
Four-way serial ports expansion unit, video sends optical transmitter and receiver, obliquity sensor and multiple detector modules pass through four-way respectively
Serial ports expansion unit connects single-chip microcontroller.
Further, the four-way serial ports expansion unit model uses TL16C754 extended chip.
Further, the quantity of the detector module is six.
Further, the camera uses 5,000,000 pixel Visible Light CCD Cameras.
The utility model has the following beneficial effects:
(1) by the Situation Awareness System being made of mobile deployment unit and comprehensive manipulation unit, using by multiple along circle
The Image Acquisition for the detector module that circumferential direction is uniformly arranged realizes the monitoring imaging and state in 360 space of overlying regions to be measured
Gesture perception, provides the state of object or target itself all directions and the relative azimuth angle information of periphery what comes into a driver's, and omnidirectional's what comes into a driver's
Related personnel can be further assisted to carry out close navigation, not only image quality is high, and performance is stablized, and integrated level is high, Function Extension
It is convenient, it is easy to maintain;Meanwhile the utility model can carry out panorama Situation Awareness within the scope of laterally 360 °, so that acquisition of information
More perfect, sensing capability is highly improved, and ensures effective operation work of target;
(2) by the way that panoramic video processing module to be designed as including integrated treatment plate and multiple subprocessing plates, subprocessing plate
It connecting one to one respectively with detector module, structure flexible design is versatile, it can satisfy the requirement of modularized design,
It is improved the efficiency of algorithm, and whole system is short to the molding time by developing, hardware maintenance is convenient, can easily carry out
Function Extension can satisfy the requirement of igh-speed wire-rod production line;
(3) by the way that panoramic optical and communication control unit to be designed as including single-chip microcontroller and setting in single-chip microcontroller parallel bus
On four-way serial ports expansion unit, video sends optical transmitter and receiver, obliquity sensor and multiple detector modules pass through four-way respectively
Road serial ports expansion unit connects single-chip microcontroller, system front and back ends optics and communication control function is realized, convenient for the inspection of succeeding target
It surveys, tracking and the splicing of panoramic video fusion, completion system video acquisition synchronization, mitigate at back-end image optimal imaging effect
Pressure is managed, realizes the communication link of system front and back end;
(4) by the Situation Awareness of progress disclosed in the utility model, monitoring distance can be up to five kilometers, so that this reality
Possess operating distance index advanced in the world with novel, meanwhile, integrated use Multitarget Tracking, image enhancement and fusion skill
The advanced technologies such as art, Panorama Mosaic technology can be suitably used for dynamic and static mounting platform and each so that system detectivity is extremely strong
Kind adverse circumstances and weather conditions.
Detailed description of the invention
Fig. 1 is the functional block diagram of Situation Awareness System in the utility model;
Fig. 2 is the structural schematic diagram of multi-detector spliced panoramic monitoring module in Fig. 1;
Fig. 3 is the structural principle block diagram of panoramic optical and communication control unit in specific embodiment;
Fig. 4 is the flow chart of movement pipeline filter tracking algorithm during utility model works.
Specific embodiment
The utility model discloses a kind of Situation Awareness Systems based on panoramic vision, including mobile deployment unit and synthesis
Manipulate unit;
Mobile deployment unit includes mobile deployment platform, and mobile deployment platform is equipped with multi-detector spliced panoramic and monitors mould
Block, panoramic video processing module, panoramic video monitoring control cabinet and video send optical transmitter and receiver, panoramic video monitoring control cabinet
It is interior to be equipped with panoramic optical and communication control unit;Video sends optical transmitter and receiver and monitors control cabinet and panoramic video by panoramic video
Processing unit is electrically connected multi-detector spliced panoramic monitoring module;
Comprehensive manipulation unit includes comprehensive operation bench, and comprehensive operation bench is equipped with video reception optical transmitter and receiver, monitoring management mould
Block, the network switch, Web Video Service unit, video display and management display;Video reception optical transmitter and receiver passes through four cores
Optical fiber sends optical transmitter and receiver with video and connect, and video reception optical transmitter and receiver is electrically connected monitoring management module, Web Video Service
Unit and video display, monitoring management module be electrically connected the network switch and with management display;
Multi-detector spliced panoramic monitoring module includes mounting rack, obliquity sensor and multiple detector modules, and inclination angle passes
Sensor is arranged on mounting rack, and multiple detector modules are along the circumferential direction uniformly arranged on mounting rack;Detector module includes
Optical lens and camera;
Panoramic video processing module includes integrated treatment plate and multiple subprocessing plates, subprocessing plate respectively with detector module
It connects one to one, integrated treatment plate is separately connected with multiple subprocessing plates.
The utility model in order to better understand with reference to the accompanying drawing does furtherly the technical solution of the utility model
It is bright.
As shown in Figure 1, the utility model discloses a kind of Situation Awareness System based on panoramic vision, including mobile deployment
Unit and comprehensive manipulation unit;
Mobile deployment unit includes mobile deployment platform, and mobile deployment platform is equipped with multi-detector spliced panoramic and monitors mould
Block, panoramic video processing module, panoramic video monitoring control cabinet and video send optical transmitter and receiver;Panoramic video processing module includes
Six blocks of subprocessing plates, one block of integrated treatment plate and one piece of video processing base plate, main realization panoramic picture handles in real time and panorama
Video-splicing function;It is equipped with panoramic optical and communication control panel in panoramic video monitoring control cabinet, to realize the panorama of system
Optics and communication control function;Video sends optical transmitter and receiver and monitors control cabinet and panoramic video processing unit electricity by panoramic video
Connect multi-detector spliced panoramic monitoring module.
As shown in Fig. 2, multi-detector spliced panoramic monitoring module includes mounting rack, obliquity sensor and six detector moulds
Block, obliquity sensor are arranged on mounting rack, and six detector modules are along the circumferential direction uniformly arranged on mounting rack;Detector
Module mainly completes 360 ° of monitoring imaging, and each detector module includes the phase of one group of camera lens, Camera Link interface
Machine (i.e. detector) and corresponding light-operated circuit and synchronous circuit composition.
The utility model uses six detectors, realizes 360 ° of coverings of monitoring visual field, and each detector actually has
Imitate visual field be 60 °, consider adjacent detector visual field be overlapped demand, calculate it can be concluded that horizontal field of view angle demand be 75 °, camera lens
Optical parameter it is as follows:
Target surface size: 1 inch
Focal length: f=8.3 millimeters,
It is as follows that detector is converted into field angle angle:
Horizontal field of view angle: 75 °
Vertical field of view angle: 60 °
The calculation shows that, system monitoring horizontal field of view angle meet 360 ° of visual field coverings and require, and vertical field of view angle meets 5 kilometers
Detect the field angle requirement of 300 meters of height targets.
Camera uses 5,000,000 pixel Visible Light CCD Cameras, has used global shutter technology, has high-quantum efficiency, width dynamic
State range and extremely low noise level, even if so that detector in the case where light condition is bad, is also able to achieve very high
Image quality.
The hardware composition of panoramic video processing module preferably FPGA's and goes here and there framework and a video using more DSP+ are more
Integrated treatment plate+multiple videos subprocessing plate parallel-processing hardware framework, major advantage is that structure design comparison is flexible, is led to
It is strong with property, it can satisfy the requirement of modularized design, be improved the efficiency of algorithm;And whole system is by exploitation to molding
Time it is short, hardware maintenance is convenient, can easily carry out Function Extension, can satisfy the requirement of igh-speed wire-rod production line.
Subprocessing plate uses the design scheme of the more DSP of FPGA+, be mainly responsible for relatively complicated algorithm of target detection and
The functions such as multi-target detection and tracking are completed in video samples compression.Subprocessing plate receives the differential video of CCD camera transmission first
Data then carry out corresponding signal processing by FPGA and DSP collaboration, carry out in image procossing and detection image by system requirements
Target, and by video image compression in case subsequent tiled display.
Integrated treatment plate, which is mainly responsible for, carries out panoramic video splicing, video image to daughter board treated six road video datas
The functions such as data investigation conversion, standard video coder synthesis, serial data transmitting-receiving.The hardware design of video synthesis processing board is with list
Fpga chip is core, while further including external storage, video input, output module and related peripheral device.
Comprehensive manipulation unit includes comprehensive operation bench, and comprehensive operation bench is equipped with video reception optical transmitter and receiver, monitoring management meter
Calculation machine, the network switch, Web Video Service unit, video display and management display;Video reception optical transmitter and receiver passes through four
Core fibre sends optical transmitter and receiver with video and connect, and video reception optical transmitter and receiver is electrically connected monitoring management computer, network video
Service unit and video display, monitoring management computer be electrically connected the network switch and with management display, network video
Frequency service unit uses network video compressor, carries out the processing such as compressing to video file, management display is furnished with human-computer interaction
Accessory, such as mouse and keyboard, or man-machine interactive operation is realized using the management display with touch function;For convenient for
External system is integrated or communicates with other equipment, and system reservation networks exchange interface carries out data exchange.
As shown in figure 3, for panoramic vision Situation Awareness System need simultaneously with six detector modules, an optical transmitter and receiver
With an obliquity sensor demand that totally eight equipment is communicated, the utility model is set on panoramic optical and communication control panel
Count a kind of simple and reliable asynchronous serial port extended method, panoramic optical and communication control panel include single-chip microcontroller and parallel in single-chip microcontroller
The four-way extended chip TL16C754 being arranged in bus, to realize the extension in four serial ports channels.Panoramic optical and communication control
Plate includes first serial control unit, second serial control unit, third serial ports control unit, the 4th serial ports control unit and
Five serial ports control units include four serial interfaces in first serial control unit to the 5th serial ports control unit;4th string
Mouth control unit, second serial control unit, first serial control unit, third serial ports control unit and the control of the 5th serial ports are single
Member is sequentially connected, and the two-way serial ports of first serial control unit is separately connected host computer (i.e. monitoring management computer), two-way string
It is used for transmission control signal all the way in mouthful, another way is used for transmission synchronization signal;Second serial control unit, the control of third serial ports
Unit, the 4th serial ports control unit and the 5th serial ports control unit respectively with six detector modules, an optical transmitter and receiver and one
Obliquity sensor connection.Serial port unit hardware in panoramic optical and communication control panel can match 4 to 10 strings by cascade
The flexible configuration mode of mouth, system versatility is extremely strong, practical in the present embodiment only to have used 8 serial ports channels therein, remaining
Two spare interfaces can be achieved with multi-path asynchronous serial communication to extend, with the connection of simplest hardware and software programming,
It is able to satisfy system actual functional capability requirement.
Single-chip microcontroller in communication control system selects the high-performance risc microcontroller of Microchip company
PIC16F877A, built-in POR and two kinds of reset functions and delayed timer, a WatchDog Timer, 3 timers and
2 CCP modules, program storage can at most arrive the word (14 bit wide) of 8K, and data storage (RAM) is up to 368 byte (8
Position) and 256 bytes data storage.Serial port extended chip is the four-way extended chip TL16C754 of TI company, the core
Piece pin is compatible with microprocessor PIC16F877A, the built-in 4 sets UART systems that can work independently, highest baud rate 3Mbit/s,
The FIFO that chip interior has 64 bytes triggering grade controllable.Bus Interface Chip is MAX485, it is the RS485 of a standard
Half-duplex transceiver includes an output driver and a signal receiver.
Microprocessor PIC16F877A is that RE0-RE2 connect A2- with the configuration principle of four-way extended chip TL16C754
The address A0 end, in conjunction with built in the BI1_7 of reading and writing and LCR to four-way extended chip TL16C754 is used to select TL16C754
Each register, it is configured as needed.RA0-RA2 connection CSA-CSD, CPU according to the agreement of agreement or in
Break signal source selects corresponding channel, sends or receive the data of respective channel, and handles these data.RB4-
RB7 connection INTA-INTD, TL16C754 generation FIFO receives data and effectively interrupts, in overtime interrupt, receiver line status
When the interruption such as disconnected in the air of disconnected, transmitter holding register, interrupt signal is issued into CPU, after CPU receives interrupt signal, into phase
The interrupt handling routine answered.RC0-RC2 is separately connected IOW, IOR and RESET, writes behaviour by the selected channel TL16C754 of CP control
Make, read operation and internal register reset operation.
The working principle of panoramic vision Situation Awareness System described in the utility model are as follows:
After target enters panoramic vision Situation Awareness System sphere of action, panoramic surveillance device is completed to specified region
Image Acquisition on 360 ° of directions generates comprehensive scenery picture by panoramic video processing module.Panoramic video processing module
Target, and automatically track target are searched in video image, monitor its overall process enter, move, leaving.Based on panoramic vision
Situation Awareness System have the ability of Objective extraction, tracking and azimuthal measurement, Situation Awareness, rely on the fixed burnt of multi-detector
Away from installing with visual field, according to coordinate information of the target on detector target surface, the resolving of its relative space position and body posture are completed
Gesture perception, and comprehensive operation bench will be output in total data information.
After Situation Awareness System each unit power-up initializing based on panoramic vision, computer is managed by comprehensive operation bench
Other unit modules are managed, controlled and configured;The video image of multi-detector spliced panoramic monitoring module acquisition is through height
Fast video interface is transmitted to panoramic video processing module and carries out Objective extraction, tracking and azimuthal measurement, Panorama Mosaic, and leads to
Optical transmitter and receiver output target bearing data and full-view video image to comprehensive operation bench is crossed to be managed and show;Comprehensive operation bench is also
Data exchange can be carried out by the network switch and external system.
The operator of comprehensive operation bench sets the control parameter of video camera by man-machine interface and panoramic picture shows mould
Formula, and front-end camera and panoramic video processing module are sent to by optical transmitter and receiver, complete the full-automatic light regulator control to video camera
System and panorama combination mode are shown.In addition, the azimuth information of management man-computer interface also displaying target, display show mesh
The multidate information of movement is marked, and is superimposed other data, helps related personnel to grasp the global information in monitor area, assists its complete
At panorama monitoring and Situation Awareness.
The Situation Awareness method of Situation Awareness System based on above-mentioned Situation Awareness System the following steps are included:
A, each detector module acquires single area video image T of corresponding region respectivelyi, i=1,2 ..., N, N expression
Detector module quantity.
B, in single area video image TiMiddle progress multi-target detection tracking obtains j-th of target XijInformation data
Aij,;
Multitarget Tracking based on panoramic vision, using inter-frame difference with independent intellectual property rights and partial differential side
The background restrainable algorithms and auto-thresholding algorithm that journey group combines are aided with gaussian filtering, multiframe association pipeline filter, real
Now the tenacious tracking of multiple targets is extracted.The technology solves background complexity, interference in 360 ° of field ranges and mostly exists with aircraft
There is low, small, the slow target real-time stabilization tracking technique problem for having high, big, fast imaging characteristic again in whole process.
Multi-target detection tracking the following steps are included:
B1: background inhibition is carried out to input picture using background restrainable algorithms;Detailed process is as follows for background restrainable algorithms:
B1.1: image is summarized as eight kinds of basic models by echo signal spatial position and gray value relationship, for describing figure
Background, angle point, edge, boundary, texture, noise, target point as in and doubtful point between them;
B1.2: Regularization is carried out to background process of inhibition using Perona-Malik Partial Differential Equation Model, for from image
Target is identified in eight kinds of basic models, and is enhanced, while being inhibited and remaining smooth type;Regularization process is equivalent to original
The convolution of beginning image and local auto-adaptive operator, specific formula is as follows:
In formula (1) and (2), I and u are respectively image after original image and background inhibition, and H is local auto-adaptive operator,
Weighting coefficient λE、λW、λNAnd λSDiffusing capacity respectively in first order neighbors on four direction.
Partial differential equation method has comprehensively considered in first order neighbors gray scale on four direction it can be seen from formula (1) and (2)
Distribution situation, and target, inhibition background are highlighted using non-linear processing methods, therefore this method can relatively accurately identify mesh
Mark, and it is effectively enhanced.
B2: adaptive threshold fuzziness is carried out to input picture using auto-thresholding algorithm, two after obtaining segmentation
Value image;
Containing target, noise and a small amount of background leakage in residual image after background inhibition, in order to from residual image
Determine the number and location of target, it is necessary to which Threshold segmentation is carried out to it.
Detailed process is as follows for auto-thresholding algorithm:
Image e (x, y) is inhibited for the background of input, defining Threshold segmentation output bianry image is
In formula (3), T indicates threshold value.
The adaptive threshold fuzziness method based on mean variance is used in the utility model.Mean variance method can press down according to background
Imaged statistical property, using the mean value and variance of the image come threshold value.This method segmented image is simple and effective, is easy to
Realize, and can adaptively obtain threshold value that there is stronger flexibility.
B3: clustering processing is carried out to the binary image after segmentation using target clustering algorithm, obtains candidate target
Location information;
After adaptive threshold fuzziness, Weak target is possible to be divided into multiple points, is easy to be mistaken for so multiple
Target.It is thus typically necessary to carry out Cluster merging processing according to the spatial position of target.
Detailed process is as follows for target clustering algorithm:
A): selecting the point in the same target;Decision condition are as follows: if Diff E and Diff N between two points
The two are then put the point being considered as in the same target by respectively less than 10 pixels;
B): the cumulative simultaneously averaging of abscissa of all the points of the same target, institute will be belonged on single area video image
Obtain the abscissa that average is target;
C): the cumulative simultaneously averaging of ordinate of all the points of the same target, institute will be belonged on single area video image
Obtain the ordinate that average is target;
D): step a) to step c) is the coordinate information method of determination of a target, repeats step a) to step c) and obtains
Take the coordinate information of all targets on the list area video image.
B4: utilizing target kinetic characteristic, carries out pipeline filter to target, obtains real goal;Pipeline filter is used and is based on
The track algorithm of movement pipeline filtering;
Target point in image detected by algorithm of target detection based on single-frame images, wherein comprising real goal and making an uproar
False target caused by the factors such as sound, thus also usually can be known as suspected target point.In order to further decrease false alarm rate, improve
Detection probability, this just needs that the obtained result of single frame detection is further processed;
For moving target, the motion information of target provides an important clue, it is possible thereby to utilize target
Track association method passes through multiframe according to target in the imaging characteristics such as the consistency of spatial movement and the consistency of characteristic parameter
Data correlation can further reject false-alarm point, and then further decrease the false-alarm probability of algorithm of target detection, improve algorithm
Detection probability.Multiframe associated objects detection algorithm is an indispensable technological means in actual engineer application,
The insufficient disadvantage of single-frame images information is compensated for a certain extent;
As shown in figure 4, detailed process is as follows for movement pipeline filter tracking algorithm:
B4.1: list entries image;
B4.2: interpreting blueprints and detects single-frame images;
B4.3: input candidate target;
B4.4: determining whether target belongs to existing pipeline, is to update existing pipeline discovery targeted number, otherwise establishes new
Pipeline;
B4.5: each line treatment is carried out;
B4.6: judging whether target frequency of occurrence reaches requirement, is, detects target and exports, otherwise return step
b4.2。
B5: tracking real goal simultaneously obtains object information data;Object information data includes coordinate.
C, information data A is extractedijIn coordinates of targets Bij;
D, splice single area video image T1To single area video image TN, obtain panorama scenery picture;
E: by coordinates of targets B obtained by step CijIt is merged with panorama visor image, obtains XijIn panorama scenery picture
Situation information.
The utility model uses the image processing techniques of multisensor splicing, realizes and supervises to the comprehensive TV in specified region
Depending on and whole Situation Awareness, have many advantages, such as big visual field, comprehensive, Integral imaging, entirety Situation Awareness.The utility model can
Comprehensive prison in region can be realized in occasions such as civil fields, including robot navigation, prison, nuclear power station, civil airport by applying
Control is related personnel from the personnel of global and whole height monitoring and perception above-mentioned zone, the state and variation tendency of object
It quickly controls real-time unexpected accident and real-time, intuitive panoramic video information is provided.The utility model is also applicable in military field,
It is more complete including being provided for tank armor vehicle operation person, aircraft carrier landing commander, the pilot for driving opportunity of combat air battle etc.
Intuitive, the visual image information in face, thus realize Situation Awareness, fight defence, commanding and decision-making, the functions such as military situation disposition.
Finally, it should be noted that above embodiments are only to illustrate the technical solution of the utility model, rather than its limitations;
Although the utility model is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that,
It can still modify to technical solution documented by previous embodiment, or to some or all of the technical features
It is equivalently replaced, and these are modified or replaceed, the utility model embodiment that it does not separate the essence of the corresponding technical solution
The range of technical solution.
Claims (5)
1. a kind of Situation Awareness System based on panoramic vision, it is characterised in that: single including mobile deployment unit and comprehensive manipulation
Member;
Mobile deployment unit includes mobile deployment platform, mobile deployment platform be equipped with multi-detector spliced panoramic monitoring module,
Panoramic video processing module, panoramic video monitoring control cabinet and video send optical transmitter and receiver, and panoramic video monitoring controls in cabinet
Equipped with panoramic optical and communication control unit;Video sends optical transmitter and receiver and is monitored at control cabinet and panoramic video by panoramic video
It manages unit and is electrically connected multi-detector spliced panoramic monitoring module;
Comprehensive manipulation unit includes comprehensive operation bench, and comprehensive operation bench is equipped with video reception optical transmitter and receiver, monitoring management module, net
Network interchanger, Web Video Service unit, video display and management display;Video reception optical transmitter and receiver by four-core fiber with
Video send optical transmitter and receiver connection, and video reception optical transmitter and receiver be electrically connected monitoring management module, Web Video Service unit and
Video display, monitoring management module be electrically connected the network switch and with management display;
The multi-detector spliced panoramic monitoring module includes mounting rack, obliquity sensor and multiple detector modules, and inclination angle passes
Sensor is arranged on mounting rack, and multiple detector modules are along the circumferential direction uniformly arranged on mounting rack;Detector module includes
Optical lens and camera;
The panoramic video processing module includes integrated treatment plate and multiple subprocessing plates, subprocessing plate respectively with detector module
It connects one to one, integrated treatment plate is separately connected with multiple subprocessing plates.
2. the Situation Awareness System according to claim 1 based on panoramic vision, it is characterised in that: the panoramic optical with
Communication control unit includes single-chip microcontroller and the four-way serial ports expansion unit that is arranged on single-chip microcontroller parallel bus, and video sends light
Terminal, obliquity sensor and multiple detector modules pass through four-way serial ports expansion unit respectively and connect single-chip microcontroller.
3. the Situation Awareness System according to claim 2 based on panoramic vision, it is characterised in that: the four-way serial ports
Expanding element model uses TL16C754 extended chip.
4. the Situation Awareness System according to claim 1 based on panoramic vision, it is characterised in that: the detector module
Quantity be six.
5. the Situation Awareness System according to claim 1 or 4 based on panoramic vision, it is characterised in that: the camera is adopted
With 5,000,000 pixel Visible Light CCD Cameras.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201822247283.6U CN209182844U (en) | 2018-12-29 | 2018-12-29 | A kind of Situation Awareness System based on panoramic vision |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201822247283.6U CN209182844U (en) | 2018-12-29 | 2018-12-29 | A kind of Situation Awareness System based on panoramic vision |
Publications (1)
Publication Number | Publication Date |
---|---|
CN209182844U true CN209182844U (en) | 2019-07-30 |
Family
ID=67378251
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201822247283.6U Active CN209182844U (en) | 2018-12-29 | 2018-12-29 | A kind of Situation Awareness System based on panoramic vision |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN209182844U (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109657639A (en) * | 2018-12-29 | 2019-04-19 | 中国电子科技集团公司第二十七研究所 | A kind of Situation Awareness System and method based on panoramic vision |
-
2018
- 2018-12-29 CN CN201822247283.6U patent/CN209182844U/en active Active
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109657639A (en) * | 2018-12-29 | 2019-04-19 | 中国电子科技集团公司第二十七研究所 | A kind of Situation Awareness System and method based on panoramic vision |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111899227A (en) | Automatic railway fastener defect acquisition and identification method based on unmanned aerial vehicle operation | |
CN102507592A (en) | Fly-simulation visual online detection device and method for surface defects | |
CN104316782B (en) | pantograph monitoring method and system | |
CN101393603A (en) | Method for recognizing and detecting tunnel fire disaster flame | |
KR101125233B1 (en) | Fusion technology-based security method and security system thereof | |
CN105160649A (en) | Multi-target tracking method and system based on kernel function unsupervised clustering | |
CN107976685B (en) | Indoor human target tracking system of infrared sensor based on thing networking | |
CN111369539B (en) | Building facade window detecting system based on multi-feature image fusion | |
CN102879404B (en) | System for automatically detecting medical capsule defects in industrial structure scene | |
CN102306274A (en) | Device for identifying parking space state and method | |
CN109657639A (en) | A kind of Situation Awareness System and method based on panoramic vision | |
CN109948474A (en) | AI thermal imaging all-weather intelligent monitoring method | |
CN209182844U (en) | A kind of Situation Awareness System based on panoramic vision | |
CN114399734A (en) | Forest fire early warning method based on visual information | |
CN117197789A (en) | Curtain wall frame identification method and system based on multi-scale boundary feature fusion | |
CN202404111U (en) | DSP-based video velocity-measuring system | |
CN103268586B (en) | A kind of window fusion method based on diffusion theory | |
Meng et al. | Highway visibility detection method based on surveillance video | |
CN114708544A (en) | Intelligent violation monitoring helmet based on edge calculation and monitoring method thereof | |
US11315265B2 (en) | Fingertip detection method, fingertip detection device, and medium | |
CN102231207A (en) | Moving target tracking method based on Mean Shift and block matching | |
CN112969057A (en) | 5G MEC shunted electric power system personnel action automatic identification system | |
Yuanting et al. | Research on image mosaic of low altitude UAV based on harris corner detection | |
Yu et al. | LiDAR target fusion and algorithm detection based on improved YOLO | |
Su et al. | Convolutional neural-based algorithm for port occupancy status detection of optical distribution frames |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |