CN204347612U - For the robot system that rectangular target detects - Google Patents
For the robot system that rectangular target detects Download PDFInfo
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- CN204347612U CN204347612U CN201520051746.5U CN201520051746U CN204347612U CN 204347612 U CN204347612 U CN 204347612U CN 201520051746 U CN201520051746 U CN 201520051746U CN 204347612 U CN204347612 U CN 204347612U
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Abstract
The utility model relates to a kind of robot system detected for rectangular target, comprise infrared distance measuring detector, high-definition camera, Samsung Exynos 7 processor of target recognition detection equipment and 64, infrared distance measuring detector is used for the forward direction distance of the rectangular target distance robot system in measuring robots system front, high-definition camera comprises the forward image of rectangular target image for taking, target recognition detection equipment is connected with high-definition camera, recognition detection process is performed to forward image, Exynos7 processor is connected respectively with infrared distance measuring detector and target recognition detection equipment, the physical size of rectangular target is determined based on recognition detection result and forward direction distance.By the utility model, the actual size of rectangular front target can be detected real-time and accurately, for the concrete operations of robot system provide important referential data.
Description
Technical field
The utility model relates to robot controlling field, particularly relates to a kind of robot system detected for rectangular target.
Background technology
Robot, English name Robot is the installations automatically performing work.He both can accept mankind commander, can run again the program of layout in advance, also can according to the principle guiding principle action of formulating with artificial intelligence technology.His task assists or replace the work of human work, such as production industry, building industry, or the work of danger.Nowadays, machine man-based development is come out of from Fixed Point Operation, to the future development of AUTONOMOUS TASK.Mobile robot battlefield detecting, take precautions against natural calamities recover, dangerous field detection all have a wide range of applications.
Mobile robot is in operation process, owing to being often in complicated operating environment, in order to ensure normally carrying out of various operation, need to avoid the interference that the various objects ahead in traveling process operate for self, and the Dimensions recognition of objects ahead to be robot make corresponding foundation of keeping away barrier operation, the target identifying schemes that some are applied to robot is there is in prior art, but these schemes otherwise too simple, easily be interfered, such as identify target size by detecting object edge information, otherwise it is too complicated, need a large amount of operand, real-time levels is not high, such as, adopt the target detection scheme of neural network algorithm.
Therefore, need the robot system that a kind of new objects ahead detects, while can accurately recognizing objects ahead size, reduce the complexity of recognizer, ensure efficiency and the promptness of identification, thus, improve the sensitivity level of robot reaction, maintain the normal operation of robot.
Utility model content
In order to solve the problem, the utility model provides a kind of robot system detected for rectangular target, for modal rectangular target, build the recognition mode of a kind of combining image recognition technology and infrared ray sensing technology, identification operand is moderate, maintains the promptness of identification, and the accuracy simultaneously identified is improved, meanwhile, wireless communication technology is also introduced to improve robot system reliability of operation.
According to one side of the present utility model, provide a kind of robot system detected for rectangular target, described robot system comprises infrared distance measuring detector, high-definition camera, Samsung Exynos 7 processor of target recognition detection equipment and 64, described infrared distance measuring detector is for detecting the forward direction distance of rectangular target apart from described robot system in described robot system front, described high-definition camera comprises the forward image of described rectangular target image for taking, described target recognition detection equipment is connected with described high-definition camera, recognition detection process is performed to described forward image, described Exynos 7 processor is connected respectively with described infrared distance measuring detector and described target recognition detection equipment, the physical size of described rectangular target is determined based on recognition detection result and forward direction distance.
More specifically, in the described robot system detected for rectangular target, also comprise: robot power drive device, comprise direct current motor, two driving wheels and two universal wheels, two driving wheels described in described DC motor drive, for providing power for advancing of described robot system, memory device, for prestoring target upper limit gray threshold and target lower limit gray threshold, described target upper limit gray threshold and described target lower limit gray threshold are used for the target and background in image to be separated, wireless transmitting-receiving equipments, be connected by two-way wireless communication link with the robot controlling platform of far-end, for receiving the steering order that described robot controlling platform sends, the travel path of described robot system is comprised in described steering order, also for the physical size of rectangular target described in wireless transmission, the physical size of described rectangular target comprises the true altitude of described rectangular target and the developed width of described rectangular target, shooting light fixture, be arranged on described high-definition camera, for the shooting of described high-definition camera provides illumination, the intensity of the illumination light of described shooting light fixture and the brightness of described high-definition camera surrounding environment are inversely proportional to, described infrared distance measuring detector comprises infrared emitting device and infrared receiver device, and described infrared distance measuring detector is used for launching the ultrared time according to described infrared emitting device, described infrared receiver device receives ultrared time of reflecting from described rectangular target and infrared ray propagation rate calculates described forward direction distance, described high-definition camera is CMOS camera, the resolution of the forward image of its shooting is 1280 × 960, namely the picture altitude of described forward image is 960 pixels, and picture traverse is 1280 pixels, and vertical field of view angle and the horizontal field of view angle of described high-definition camera shooting are predetermined fixed value, described target recognition detection equipment is connected respectively with described memory device and described high-definition camera, described target recognition detection equipment comprises contrast strengthen device, Gaussian filter part, gray processing processing apparatus, target marker part and target detection device, described contrast strengthen device is connected with described high-definition camera, for performing contrast enhancement processing to described forward image, export and strengthen forward image, described Gaussian filter part is connected with described contrast strengthen device, for performing Gaussian smoothing filter process to described enhancing forward image, output filtering forward image, described gray processing processing apparatus is connected with described Gaussian filter part, for performing gray processing process to described filtering forward image, output gray level forward image, described target marker part is connected respectively with described memory device and described gray processing processing apparatus, the pixel identification of gray-scale value in described gray processing forward image between described target upper limit gray threshold and described target lower limit gray threshold is formed target sub pattern, described target detection device is connected with described target marker part, the size of described target image is determined based on described target subimage, the size of described target image comprises target image height and target image width, described target image height is the vertical pixel quantity of described target image, described target image width is the pixels across quantity of described target image, described Exynos 7 processor and described robot power drive device, described wireless transmitting-receiving equipments is connected respectively with described target detection device, resolve the steering order of described wireless transmitting-receiving equipments transmission to obtain described travel path, corresponding power drive signal is sent to described robot power drive device based on described travel path, described Exynos 7 processor is also based on described target image height, described vertical field of view angle, described in described forward direction Distance geometry, the picture altitude of forward image determines the true altitude of described rectangular target, based on described target image width, described horizontal field of view angle, described in described forward direction Distance geometry, the picture traverse of forward image determines the developed width of described rectangular target, display, is connected with described Exynos 7 processor, for the true altitude of the developed width and described rectangular target that show described rectangular target, wherein, described contrast strengthen device, described Gaussian filter part, described gray processing processing apparatus, described target marker part and described target detection device adopt different fpga chips to realize respectively.
More specifically, in the described robot system detected for rectangular target, also comprise: power-supply unit, for described robot system provides electric power supply.
More specifically, in the described robot system detected for rectangular target, described wireless transmitting-receiving equipments is GPRS wireless communication interface, 3G wireless communication interface or 4G wireless communication interface.
More specifically, in the described robot system detected for rectangular target, described memory device is static memory, and described display is LCDs.
More specifically, in the described robot system detected for rectangular target, described two driving wheels are two trailing wheels, and described two universal wheels are two front-wheels.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present utility model is described, wherein:
Fig. 1 is the block diagram of the robot system for rectangular target detection according to the utility model embodiment.
Fig. 2 is the block diagram of target recognition detection equipment of the robot system detected for rectangular target according to the utility model embodiment.
Embodiment
Below with reference to accompanying drawings the embodiment of the robot system for rectangular target detection of the present utility model is described in detail.
Robot, from applied environment, is divided into two large class, i.e. industrial robot and specialized robots by roboticist.So-called industrial robot is exactly multi-joint manipulator towards industrial circle or multi-freedom robot.Specialized robot be then except industrial robot, serve the various sophisticated machine people of the mankind for nonmanufacturing industry, comprising: service robot, underwater robot, amusement robot, military robot, agricultural robot, robotize machine etc.
In specialized robot, the development of some branch is very fast, has the trend of independent architectonical, as service robot, underwater robot, military robot, micro-manipulating robot etc.International robot scholar, is also divided into two classes from applied environment by robot: the service under the industrial robot under manufacturing environment and non-fabrication environment and human emulated robot, this is consistent with above-mentioned classification.Air-robot is again unmanned machine, and in military robot family, unmanned plane is that scientific research activity is the most active, technical progress is maximum, study and procurement funding drops into maximum, that smell of powder is the abundantest field.Over more than 80 year, the development of World UAV is substantially served as theme with the U.S. and is pushed ahead, no matter from technical merit or the kind of unmanned plane and quantity, and the first place in the Jun Ju world of the U.S..
For ensureing that robot maintains its normal running under complex operations environment, needing the size of each target detected in real time in its advance route, keeping away barrier scheme targetedly to formulate in time.Wherein, rectangular target is one of modal target type.The existing detection scheme detected for rectangular target cannot obtain between promptness balanced in accuracy of detection and detecting, the object detection system too paid attention to accuracy of detection or too pay attention to detecting promptness all can affect the normal operation of robot.
The utility model has built a kind of robot system detected for rectangular target, by the forward direction distance of infrared distance measuring instrument determination objects ahead, by the ratio that image acquisition and recognition means determination objects ahead image are targetedly occupied in the whole image of collection, and according to described forward direction Distance geometry the physical size of ratio-dependent rectangular front target, whole system achieves in accuracy of detection and the equilibrium that detects between promptness.
Fig. 1 is the block diagram of the robot system for rectangular target detection according to the utility model embodiment, described robot system comprises: Samsung Exynos 7 processor 2 of infrared distance measuring detector 1, high-definition camera 3, target recognition detection equipment 4 and 64, described Exynos7 processor 2 is connected respectively with described infrared distance measuring detector 1, described high-definition camera 3 and described target recognition detection equipment 4, and described high-definition camera 3 is connected with described target recognition detection equipment 4.
Wherein, described infrared distance measuring detector 1 is for detecting the forward direction distance of rectangular target apart from described robot system in described robot system front, described high-definition camera 3 is for taking the forward image comprising described rectangular target image, described target recognition detection equipment 4 performs recognition detection process to described forward image, and the physical size of described rectangular target determined by described Exynos 7 processor 2 based on recognition detection result and forward direction distance.
Then, continue to be further detailed the concrete structure of the robot system for rectangular target detection of the present utility model.
Described robot system also comprises: robot power drive device, comprises direct current motor, two driving wheels and two universal wheels, two driving wheels described in described DC motor drive, for providing power for advancing of described robot system.
Described robot system also comprises: memory device, and for prestoring target upper limit gray threshold and target lower limit gray threshold, described target upper limit gray threshold and described target lower limit gray threshold are used for the target and background in image to be separated.
Described robot system also comprises: wireless transmitting-receiving equipments, be connected by two-way wireless communication link with the robot controlling platform of far-end, for receiving the steering order that described robot controlling platform sends, the travel path of described robot system is comprised in described steering order, also for the physical size of rectangular target described in wireless transmission, the physical size of described rectangular target comprises the true altitude of described rectangular target and the developed width of described rectangular target.
Described robot system also comprises: shooting light fixture, be arranged on described high-definition camera, for the shooting of described high-definition camera provides illumination, the intensity of the illumination light of described shooting light fixture and the brightness of described high-definition camera surrounding environment are inversely proportional to.
Described infrared distance measuring detector comprises infrared emitting device and infrared receiver device, described infrared distance measuring detector 1 for launching the ultrared time according to described infrared emitting device, described infrared receiver device receives ultrared time of reflecting from described rectangular target and infrared ray propagation rate calculates described forward direction distance.
Described high-definition camera 3 is CMOS camera, the resolution of the forward image of its shooting is 1280 × 960, namely the picture altitude of described forward image is 960 pixels, picture traverse is 1280 pixels, and the vertical field of view angle that described high-definition camera 3 is taken and horizontal field of view angle are predetermined fixed value.
As shown in Figure 2, described target recognition detection equipment 4 is connected respectively with described memory device and described high-definition camera 3, described target recognition detection equipment 4 comprises contrast strengthen device 41, Gaussian filter part 42, gray processing processing apparatus 43, target marker part 44 and target detection device 45, described contrast strengthen device 41 is connected with described high-definition camera 3, for performing contrast enhancement processing to described forward image, export and strengthen forward image, described Gaussian filter part 42 is connected with described contrast strengthen device 41, for performing Gaussian smoothing filter process to described enhancing forward image, output filtering forward image, described gray processing processing apparatus 43 is connected with described Gaussian filter part 42, for performing gray processing process to described filtering forward image, output gray level forward image.
Described target marker part 44 is connected respectively with described memory device and described gray processing processing apparatus 43, the pixel identification of gray-scale value in described gray processing forward image between described target upper limit gray threshold and described target lower limit gray threshold is formed target sub pattern, described target detection device 45 is connected with described target marker part 44, the size of described target image is determined based on described target subimage, the size of described target image comprises target image height and target image width, described target image height is the vertical pixel quantity of described target image, described target image width is the pixels across quantity of described target image.
Described Exynos 7 processor 2 and described robot power drive device, described wireless transmitting-receiving equipments is connected respectively with described target detection device 45, resolve the steering order of described wireless transmitting-receiving equipments transmission to obtain described travel path, corresponding power drive signal is sent to described robot power drive device based on described travel path, described Exynos 7 processor 2 is also based on described target image height, described vertical field of view angle, described in described forward direction Distance geometry, the picture altitude of forward image determines the true altitude of described rectangular target, based on described target image width, described horizontal field of view angle, described in described forward direction Distance geometry, the picture traverse of forward image determines the developed width of described rectangular target.
Described Exynos 7 processor 2 also determines being implemented as follows of the true altitude of described rectangular target based on the picture altitude of forward image described in described target image height, described vertical field of view angle, described forward direction Distance geometry: setting described target image height is h, described vertical field of view angle is α, described forward direction distance is D, the picture altitude of described forward image is Y, then the computing formula of the true altitude H of described rectangular target is: H=(2 × D × tan (α/2) × h)/Y.
Described Exynos 7 processor 2 determines being implemented as follows of the developed width of described rectangular target based on the picture traverse of forward image described in described target image width, described horizontal field of view angle, described forward direction Distance geometry: setting described target image width is w, described horizontal field of view angle is β, described forward direction distance is D, the picture traverse of described forward image is X, then the computing formula of the developed width W of described rectangular target is: W=(2 × D × tan (β/2) × w)/X.
Described robot system also comprises: display, is connected with described Exynos 7 processor 2, for the true altitude of the developed width and described rectangular target that show described rectangular target.
Wherein, described contrast strengthen device 41, described Gaussian filter part 42, described gray processing processing apparatus 43, described target marker part 44 and described target detection device 45 adopt different fpga chips to realize respectively, described robot system can also comprise power-supply unit, for described robot system provides electric power supply, described wireless transmitting-receiving equipments is chosen as GPRS wireless communication interface, 3G wireless communication interface or 4G wireless communication interface, the type of described memory device is static memory, the type of described display is LCDs, described two driving wheels are chosen as two trailing wheels, described two universal wheels are chosen as two front-wheels.
In addition, robot is the most complicated opertaing device, is also that the mankind thirst for most can produced machine friend early.But an intelligent robot will be produced and be not easy, be only allow the walking motion of the machine simulation mankind, scientists will have been paid and tens ofly even go up century-old effort.
1910, Czechoslovakia's writer Ka Leier Karel apek in his science fiction, according to Robota (Czech literary composition, original meaning is " forced labour, hard work ") and Robotnik (Polish, original meaning is " workman "), create " robot " this word.1911, USA New York World Expo has been put on display the domestic robot Elektro that Westinghouse Electrical Corp. manufactures, he was controlled by cable, can walk, and can say 77 words, even can smoke, but it is also not by a long chalk to live from really doing chores.But he allows the hope of people to domestic robot become more concrete.1912, U.S. science fiction great master Asimov proposed " robot three law ".Although this is the creation in science fiction, became the research and development principle of academia's acquiescence afterwards.1913, promise Bert Wei Na publishes " kybernetics---the science about control and communication in animal and machine ", set forth the communication in machine and the nerve of Control function and people, the common law of sensor capability, the proposition that takes the lead in take computing machine as the automatic factory of core.1914, American George de Waele produces the programmable robot of First in the world (robot that namely First is real in the world), and have registered patent, this mechanical arm can be engaged in different work according to different programs, therefore has versatility and dirigibility.
1915, in Dartmouth meeting, Marvin's Ming Siji proposed his view to intelligent machine: intelligent machine " can create the abstract model of surrounding environment, if encountered problems, can find one's way out from abstract model ".The research direction of 30 years intelligent robots after this definition has influence on.Nineteen fifty-nine, de Waele and S. Utility man Joseph English lattice Burger jointly produce First industrial robot.Subsequently, first hand robot building factory has in the world been set up.Because English lattice Burger is to the research and development of industrial robot and publicity, he is also referred to as " father of industrial robot ".1962, AMF Inc. of the U.S. produced " VERSTRAN " (being meant to omnipotent carrying), becomes real business-like industrial robot, and exports to countries in the world, had started the upsurge of the whole world to robot and robot research.
1962 to 1963, the application of sensor improve the operability of robot.People try in robot, install various sensor, comprise the touch sensor of Ernest & Whitney employing in 1961, holder Abramovich and Bo Ni 1962 " Dextrous Hand " have the earliest used pressure transducer in the world, Mai Kaxi then starts to add visual sensing system in robot for 1963, and in 1964, help MIT be proposed in the world first with vision sensor, can identify and locate the robot system of building blocks.Nineteen sixty-five, Johns Hopkins University develops Beast robot in Experiment of Applied Physics room.Beast, by the device such as Sonar system, photoelectric tube, environmentally corrects the position of oneself.
Middle 1960s, Massachusetts Institute Technology, Stanford University, Univ Edinburgh UK etc. have set up robot laboratory successively.The robot of research second generation belt sensor, " feeling " is risen in the U.S., and sets out to artificial intelligence.Stanford Research Institute of the U.S. announced them and researched and developed successful robot Shakey nineteen sixty-eight, he is with vision sensor, can find according to the instruction of people and capture building blocks, the computing machine but controlling him has a room so large, Shakey can be the first in the world platform intelligent robot, has pulled open the prelude of third generation robot research and development.
1969, Japanese Waseda University added rattan one youth laboratory and develops the robot that First walks with both feet.Add rattan one youth to be devoted for years in research anthropomorphic robot, be described as " father of anthropomorphic robot ".Japan expert one is good to the technology researching and developing anthropomorphic robot and amusement robot, afterwards further, expedites the emergence of out the ASIMO of Honda Company and the QRIO of Sony.1973, robot and small-size computer were cooperated for the first time in the world, the robot T3 of u s company of being just born.1978, u s company released popular industrial machine people PUMA, and this indicates Industrial Robot Technology full maturity.1984, English lattice Burger Zai Tui robot Helpmate, this robot can for patient brings meal, drug delivery, send mail in hospital.In the same year, he also foretells: " I will allow robot wash the floor, and cooks, and goes out and helps my carwash, checks safety ".
Nineteen ninety, Chinese Famous scholar Zhou Haizhong teaches and foretells in " opinion robot " literary composition: to middle period 21st century, nanometer robot will thoroughly change work and the life style of the mankind.1998, Lego Company of Denmark released robot (Mind-storms) external member, allowed robot building become the same with playing with building blocks, relatively simply again can be assembled arbitrarily, made robot start to enter into private world.1999, Sony corporation of Japan was released dog humanoid robot and is liked precious (AIBO), and be sold out at once, from then on amusement robot becomes one of robot approach striding forward average family.2002, iRobot company of the U.S. was proposed dust collector robot Roomba, and he can avoid obstacle, Automated Design course, when electricity is not enough, automatically can also drive towards cradle.Roomba is current maximum, the most business-like domestic robot of sales volume in the world.In June, 2006, Microsoft releases Microsoft Robotics Studio, and the trend robot modularized, platform is unitized is more and more obvious, and Bill Gates foretells, domestic robot will have swept the globe very soon.
Adopt the robot system detected for rectangular target of the present utility model, object detection apparatus for existing robot is difficult to the technical matters solving accuracy of detection and detect the equilibrium between promptness, for rectangular target, introducing infrared ray sensing technology and image detecting technique are to obtain the various data of carrying out computing in real time, and obtain rectangular target physical size by simple and effective algorithm, thus while guarantee object detection apparatus precision, do not sacrifice the real-time of object detection apparatus.
Be understandable that, although the utility model with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the utility model.For any those of ordinary skill in the art, do not departing under technical solutions of the utility model ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solutions of the utility model, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solutions of the utility model, according to technical spirit of the present utility model to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solutions of the utility model protection.
Claims (6)
1. the robot system detected for rectangular target, it is characterized in that, described robot system comprises infrared distance measuring detector, high-definition camera, Samsung Exynos 7 processor of target recognition detection equipment and 64, described infrared distance measuring detector is for detecting the forward direction distance of rectangular target apart from described robot system in described robot system front, described high-definition camera comprises the forward image of described rectangular target image for taking, described target recognition detection equipment is connected with described high-definition camera, recognition detection process is performed to described forward image, described Exynos 7 processor is connected respectively with described infrared distance measuring detector and described target recognition detection equipment, the physical size of described rectangular target is determined based on recognition detection result and forward direction distance.
2., as claimed in claim 1 for the robot system that rectangular target detects, it is characterized in that, described robot system also comprises:
Robot power drive device, comprises direct current motor, two driving wheels and two universal wheels, two driving wheels described in described DC motor drive, for providing power for advancing of described robot system;
Memory device, for prestoring target upper limit gray threshold and target lower limit gray threshold, described target upper limit gray threshold and described target lower limit gray threshold are used for the target and background in image to be separated;
Wireless transmitting-receiving equipments, be connected by two-way wireless communication link with the robot controlling platform of far-end, for receiving the steering order that described robot controlling platform sends, the travel path of described robot system is comprised in described steering order, also for the physical size of rectangular target described in wireless transmission, the physical size of described rectangular target comprises the true altitude of described rectangular target and the developed width of described rectangular target;
Shooting light fixture, be arranged on described high-definition camera, for the shooting of described high-definition camera provides illumination, the intensity of the illumination light of described shooting light fixture and the brightness of described high-definition camera surrounding environment are inversely proportional to;
Described infrared distance measuring detector comprises infrared emitting device and infrared receiver device, and described infrared distance measuring detector is used for launching the ultrared time according to described infrared emitting device, described infrared receiver device receives ultrared time of reflecting from described rectangular target and infrared ray propagation rate calculates described forward direction distance;
Described high-definition camera is CMOS camera, the resolution of the forward image of its shooting is 1280 × 960, namely the picture altitude of described forward image is 960 pixels, and picture traverse is 1280 pixels, and vertical field of view angle and the horizontal field of view angle of described high-definition camera shooting are predetermined fixed value;
Described target recognition detection equipment is connected respectively with described memory device and described high-definition camera, described target recognition detection equipment comprises contrast strengthen device, Gaussian filter part, gray processing processing apparatus, target marker part and target detection device, described contrast strengthen device is connected with described high-definition camera, for performing contrast enhancement processing to described forward image, export and strengthen forward image, described Gaussian filter part is connected with described contrast strengthen device, for performing Gaussian smoothing filter process to described enhancing forward image, output filtering forward image, described gray processing processing apparatus is connected with described Gaussian filter part, for performing gray processing process to described filtering forward image, output gray level forward image, described target marker part is connected respectively with described memory device and described gray processing processing apparatus, the pixel identification of gray-scale value in described gray processing forward image between described target upper limit gray threshold and described target lower limit gray threshold is formed target sub pattern, described target detection device is connected with described target marker part, the size of described target image is determined based on described target subimage, the size of described target image comprises target image height and target image width, described target image height is the vertical pixel quantity of described target image, described target image width is the pixels across quantity of described target image,
Described Exynos 7 processor and described robot power drive device, described wireless transmitting-receiving equipments is connected respectively with described target detection device, resolve the steering order of described wireless transmitting-receiving equipments transmission to obtain described travel path, corresponding power drive signal is sent to described robot power drive device based on described travel path, described Exynos 7 processor is also based on described target image height, described vertical field of view angle, described in described forward direction Distance geometry, the picture altitude of forward image determines the true altitude of described rectangular target, based on described target image width, described horizontal field of view angle, described in described forward direction Distance geometry, the picture traverse of forward image determines the developed width of described rectangular target,
Display, is connected with described Exynos 7 processor, for the true altitude of the developed width and described rectangular target that show described rectangular target;
Wherein, described contrast strengthen device, described Gaussian filter part, described gray processing processing apparatus, described target marker part and described target detection device adopt different fpga chips to realize respectively.
3., as claimed in claim 2 for the robot system that rectangular target detects, it is characterized in that, described robot system also comprises:
Power-supply unit, for described robot system provides electric power supply.
4., as claimed in claim 2 for the robot system that rectangular target detects, it is characterized in that:
Described wireless transmitting-receiving equipments is GPRS wireless communication interface, 3G wireless communication interface or 4G wireless communication interface.
5., as claimed in claim 2 for the robot system that rectangular target detects, it is characterized in that:
Described memory device is static memory, and described display is LCDs.
6., as claimed in claim 2 for the robot system that rectangular target detects, it is characterized in that:
Described two driving wheels are two trailing wheels, and described two universal wheels are two front-wheels.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104516352A (en) * | 2015-01-25 | 2015-04-15 | 无锡桑尼安科技有限公司 | Robot system for detecting rectangular target |
| CN108573489A (en) * | 2018-04-22 | 2018-09-25 | 杨娟 | It hurdles integrity degree detection platform |
| CN110275532A (en) * | 2019-06-21 | 2019-09-24 | 珠海格力智能装备有限公司 | Control method and device, the control method and device of visual apparatus of robot |
-
2015
- 2015-01-25 CN CN201520051746.5U patent/CN204347612U/en not_active Withdrawn - After Issue
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104516352A (en) * | 2015-01-25 | 2015-04-15 | 无锡桑尼安科技有限公司 | Robot system for detecting rectangular target |
| CN105182977A (en) * | 2015-01-25 | 2015-12-23 | 白薇 | Robot system for detecting rectangular target |
| CN104516352B (en) * | 2015-01-25 | 2016-05-18 | 哈尔滨工大服务机器人有限公司 | The robot system detecting for rectangular target |
| CN105182977B (en) * | 2015-01-25 | 2016-07-06 | 哈尔滨工大服务机器人有限公司 | Robot system for rectangular target detection |
| CN108573489A (en) * | 2018-04-22 | 2018-09-25 | 杨娟 | It hurdles integrity degree detection platform |
| CN110275532A (en) * | 2019-06-21 | 2019-09-24 | 珠海格力智能装备有限公司 | Control method and device, the control method and device of visual apparatus of robot |
| CN110275532B (en) * | 2019-06-21 | 2020-12-15 | 珠海格力智能装备有限公司 | Robot control method and device and visual equipment control method and device |
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