CN104575489A - Robot identification system - Google Patents
Robot identification system Download PDFInfo
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- CN104575489A CN104575489A CN201410727510.9A CN201410727510A CN104575489A CN 104575489 A CN104575489 A CN 104575489A CN 201410727510 A CN201410727510 A CN 201410727510A CN 104575489 A CN104575489 A CN 104575489A
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Abstract
The invention discloses a robot identification system which includes a robot, a data center and a manual processing center, wherein the robot at least includes a signal acquisition module, a signal analysis module and a first wireless communication module; the data center includes a second wireless communication module and a data analysis module; the manual processing center includes a third wireless communication module, a control processing module and a human-computer interface module. Through implementing the technical scheme provided by the invention, the accuracy and efficiency of object identification can be improved.
Description
Technical field
The present invention relates to target identification technology field, particularly relate to a kind of robot recognition system.
Background technology
Robot is the installations automatically performing work.At present, in many applications, as production industry, building industry or dangerous work field have all been applied to robot.
Robot is in the process of executing the task, the identification of various target can be related to, such as to the identification of image, to identification of sound etc., under different scenes, there is the requirement of different recognition accuracies in robot, and multiple interference and obstacle may be there is in identifying, this Signal sampling and processing ability just needing robot powerful, require just higher to the software and hardware of robot.Therefore, in the conventional technology, robot is due to the restriction of self, limited to the recognition capability of target, recognition accuracy and recognition efficiency lower.
Summary of the invention
Based on this, be necessary to provide a kind of robot recognition system, application technical solution of the present invention, can improve accuracy and the efficiency of target identification.
A kind of robot recognition system, comprising: robot, data center and manual processing station; Described robot at least comprises signal acquisition module, signal analyse block and the first wireless communication module; Described data center comprises the second wireless communication module and data analysis module; Described manual processing station comprises the 3rd wireless communication module, control treatment module and human-computer interface module;
Described signal acquisition module, for gathering the signal of at least one form corresponding to target; Described signal analyse block, analyzes for the signal collected described signal acquisition module, obtains recognition result; Described first wireless communication module, after cannot obtaining recognition result in described signal analyse block, is transmitted to described data center by the signal that described signal acquisition module gathers; Described data analysis module, for receiving described signal by described second wireless communication module, and carries out analysis and obtains recognition result, more described recognition result is returned to described robot; Described 3rd wireless communication module, after cannot obtaining recognition result at described data analysis module, receives described signal; Described control treatment module, for processing described signal, is presented on described human-computer interface module with the form of correspondence; Described human-computer interface module, for receiving the recognition result of outside input; Described control treatment module, also for recognition result is returned to described robot by the 3rd wireless communication module.
In one embodiment, described signal acquisition module comprises at least one in wireless signal acquiring unit, image acquisition units, sound collection unit, sensor collecting unit; Described wireless signal acquiring unit, for gathering the one in Bluetooth signal, GPS, WIFI, NFC signal, RFID signal or Zigbee signal; Described image acquisition units, for gathering the picture signal of target; Described sound collection signal, for gathering the voice signal of target; Described sensor collecting unit, for collecting temperature, electric current, voltage, magnetic signal or gas temperature or moisture signal.
In one embodiment, described signal analyse block adopts multiple processor structure, analyzes the signal that described signal acquisition module gathers.
In one embodiment, described signal analyse block, comprises bus, the primary processor be connected with bus and some from processor, storer and IO interface unit; Described IO interface unit, connects described signal acquisition module and described first wireless module; Described primary processor is coordinated respectively to carry out work from processor, storer, IO interface unit, signal acquisition module and the first wireless communication module; Each from processor, for carrying out analyzing and processing to multi-form signal, obtain recognition result.
In one embodiment, described robot also comprises function execution module; Described function execution module comprises at least one in display unit, sound playing unit, mechanical motion unit; Described function execution module performs corresponding task after described robot obtains recognition result.
Above-mentioned robot recognition system, comprises robot, data center and manual processing station; Robot comprises signal acquisition module and signal analyse block, can gather the signal of target and identify; If signal due to the reason such as obstacle or interference None-identified target, is then transmitted to data center, is identified by data center by robot; And when data center's None-identified target, then forward manual processing station, rely on and manually identify, which thereby enhance accuracy rate and the efficiency of robot target identification.
Accompanying drawing explanation
Fig. 1 is the structural representation of the robot recognition system in an embodiment;
Fig. 2 is the structural representation of the signal acquisition module in an embodiment;
Fig. 3 is the structural representation of the robot in an embodiment.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
See Fig. 1, provide a kind of robot recognition system in one embodiment.This system comprises: robot 101, data center 102 and manual processing station 103.Robot 101 at least comprises signal acquisition module, signal analyse block and the first wireless communication module.Data center 102 comprises the second wireless communication module and data analysis module.Manual processing station comprises the 3rd wireless communication module, control treatment module and human-computer interface module.Concrete, signal acquisition module, for gathering the signal of at least one form corresponding to target.Signal analyse block, analyzes for the signal collected signal acquisition module, obtains recognition result.First wireless communication module, after cannot obtaining recognition result in signal analyse block, is transmitted to data center by the signal of signal acquisition module collection.Data analysis module, for receiving described signal by the second wireless communication module, and carries out analysis and obtains recognition result, then recognition result is returned to robot.3rd wireless communication module, after cannot obtaining recognition result at data analysis module, Received signal strength.Control treatment module, for processing signal, is presented on human-computer interface module with the form of correspondence.Human-computer interface module, for receiving the recognition result of outside input.Control treatment module, also for recognition result is returned to robot by the 3rd wireless communication module.
See Fig. 2, in one embodiment, signal acquisition module 101 comprises at least one in wireless signal acquiring unit, image acquisition units, sound collection unit, sensor collecting unit.Wireless signal acquiring unit, for gathering the one in Bluetooth signal, GPS, WIFI, NFC signal, RFID signal or Zigbee signal.Image acquisition units, for gathering the picture signal of target.Sound collection signal, for gathering the voice signal of target.Sensor collecting unit, for collecting temperature, electric current, voltage, magnetic signal or gas temperature or moisture signal.
See Fig. 3, in one embodiment, signal analyse block adopts multiple processor structure, analyzes the signal of signal acquisition module collection.Concrete, signal analyse block comprises bus, the primary processor be connected with bus and some from processor, storer and IO interface unit.IO interface unit, connection signal acquisition module and the first wireless module.Primary processor is coordinated respectively to carry out work from processor, storer, IO interface unit, signal acquisition module and the first wireless communication module.Each from processor, for carrying out analyzing and processing to multi-form signal, obtain recognition result.
In one embodiment, robot system is first identified target by robot, specific as follows:
Wireless signal is processed from processor 1.Wherein wireless signal comprises the signals such as gps signal, wifi signal, RFID, Bluetooth signal.When robot goes out, need its positional information of Real-time Obtaining and navigation information, from processor 1 owing to having powerful computing function, can the positional information that obtains of handling machine people and navigation information fast, and then make robot can find direction fast in outdoor; Robot needs to arrive the place of specifying in addition, (GPS) room of such as specifying, from processor 1 can fast handling machine people obtain gps signal come near room, then the room information that obtains from room RF label of fast processing engine people, the target room information of the room information of acquisition and setting is mated, if the match is successful, illustrates that robot finds target room.
Picture signal is processed from processor 2.When robot walks on road, information of road surface is obtained by camera, comprise the traffic light of crossroad, the information such as the pedestrian on road and vehicle, these information will be carried out Treatment Analysis rapidly from processor 2, fast the things road is carried out classifying and identifying from processor 2, make robot efficiently and accurately perform the tasks such as patrol.Robot is when performing security task in addition, obtains the facial information of people, then process facial information rapidly from processor 2 and carry out recognition of face, can tell whether there is wanted convict soon by camera.
From processor 3 processed voice information.The mankind are issued an order to robot by voice, from the voice messaging that Treatment Analysis robot obtains by processor 3, identify the content comprised in voice command, and then robot executes the task by these identified contents.Also can be exchanged by voice messaging between two other robot, will identify voice signal from processor 3 in the signal processing analysis module of robot.Such as two robots are greeted by voice and say hello, and carry out the talk of daily life; Voice messaging in addition between robot also can, as the medium of the synchronous correction of two robot system time shafts, make two robots synchronously to execute the task.
Dangerous obstacles signal is processed from processor 4.From the dangerous signal of the tool analyzing and processing rapidly that processor 4 will obtain robot, such as when robot performs safety check task, robot energy scanned passenger with luggage, utilize a series of sensor can respond to dangerous goods, such as to alcohol, the article that gunpowder etc. are inflammable and explosive or gun, the dangerous goods such as cutter, to pass to after robot obtains these information from processor 4, the information of article will be identified fast from processor 4, dangerous article judge whether dangerous article, if will react fast carry out the measures such as warning to robot.Also can pass through camera, the obstacle information that ultrasonic wave module collection is returned by Treatment Analysis robot rapidly from processor 4, after analyzing barrier, help robot be carried out keeping away barrier or cleaning barrier.
Drive singal is processed from processor 5.To motor be controlled from processor 5, the drived control of steering wheel or other servo, such as control the rotating speed of motor, torque, the parameter such as turn to.Such as when robot is when carrying out security task, after finding criminal, foot's electric motor starting instruction will be sent rapidly from processor 5, and with maximum acceleration, foot's motor being accelerated, and making robot can catch up with criminal fast; After catching up with criminal, send the instruction of hand electric motor starting rapidly from processor 5, order about robot hand and arrest criminal with suitable dynamics and speed.
For the identification of target sound signal, existing a large amount of speech model and acoustic model in signal processing analysis module in robot, it is first analyzed voice signal, obtain the characteristic parameter of sound, then these parameters are processed, form a concrete template, the template then stored with itself is mated, thus identifies target sound signal.
For the identification of target image signal, the signal processing analysis module in robot carries out extraction and the selection of characteristics of image to target image signal, and then carries out Classification and Identification according to decision rule to image.
For the identification of wireless signal, comprise bluetooth, NFC, GPS, WIFI, RFID, the wireless signals such as Zigbee, the wireless signal of reception is passed to signal processing analysis module by the wireless signal acquiring module in robot, and signal processing analysis module reads the data message analyzed in wireless signal, thus the identification of realize target.
When echo signal because of fuzzy or disturbed by barrier or cover or robot itself does not have corresponding object library and can not be identified by robot itself time, the signal of robot acquisition will be sent to data center and carry out Treatment Analysis.
The principle of data center to target identification is as follows:
Robot wirelessly sends the signal of collection to data center, and wireless transmission comprises WIFI, bluetooth, the modes such as Zigbee, 2.4G; Data center comprises server, Cloud Server, apparatus such as computer.
Data center will analyze signal after receiving the echo signal of the None-identified that machine human hair is sent.
For the identification of target sound signal, data center has a large amount of speech models and acoustic model, it is first analyzed voice signal, obtain the characteristic parameter of sound, then these parameters are processed, form a concrete template, the template then stored with itself is mated, thus identifies target sound signal.The result of the related ends information identified is returned to robot and makes it to carry out next step operation by data center.
For the identification of target image signal, data center carries out extraction and the selection of characteristics of image to target image signal, and then carries out Classification and Identification according to decision rule to image.The result of the related ends information identified is returned to robot and makes it to carry out next step operation by data center.
For the identification of wireless signal, comprise bluetooth, the wireless signals such as NFC, WIFI, RFID, Zigbee, the data message in the Target Wireless signal of the None-identified that read machine people sends by data center, thus the identification of realize target.The result of the related ends information identified is returned to robot and makes it to carry out next step operation by data center.
The principle of work of manual processing station is as follows:
The echo signal of None-identified is sent to manual service center by wireless transmission mode by data center, and wherein wireless transmission comprises WIFI, bluetooth, the modes such as Zigbee, 2.4G.Staff carries out artificial cognition by the target information obtained, and the staff of specialty can pass through vision, and the aspects such as the sense of hearing identify target.Staff also can go assist people to operate to scene in addition, and when robot itself can not identify target, staff assist people can make a response to target and perform an action.The result identifying related ends signal is turned back to robot and makes it to carry out next step operation by manual service center, and the echo signal model identified is sent to data center to improve the echo signal model bank in data by manual service center simultaneously.
In one embodiment, robot also comprises function execution module.Function execution module comprises at least one in display unit, sound playing unit, mechanical motion unit.Function execution module performs corresponding task after robot obtains recognition result.Such as display Name, voice broadcast title etc.
Robot recognition system in above-described embodiment, comprises robot, data center and manual processing station; Robot comprises signal acquisition module and signal analyse block, can gather the signal of target and identify; If signal due to the reason such as obstacle or interference None-identified target, is then transmitted to data center, is identified by data center by robot; And when data center's None-identified target, then forward manual processing station, rely on and manually identify, which thereby enhance accuracy rate and the efficiency of robot target identification.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (5)
1. a robot recognition system, is characterized in that, comprising: robot, data center and manual processing station; Described robot at least comprises signal acquisition module, signal analyse block and the first wireless communication module; Described data center comprises the second wireless communication module and data analysis module; Described manual processing station comprises the 3rd wireless communication module, control treatment module and human-computer interface module;
Described signal acquisition module, for gathering the signal of at least one form corresponding to target; Described signal analyse block, analyzes for the signal collected described signal acquisition module, obtains recognition result; Described first wireless communication module, after cannot obtaining recognition result in described signal analyse block, is transmitted to described data center by the signal that described signal acquisition module gathers; Described data analysis module, for receiving described signal by described second wireless communication module, and carries out analysis and obtains recognition result, more described recognition result is returned to described robot; Described 3rd wireless communication module, after cannot obtaining recognition result at described data analysis module, receives described signal; Described control treatment module, for processing described signal, is presented on described human-computer interface module with the form of correspondence; Described human-computer interface module, for receiving the recognition result of outside input; Described control treatment module, also for recognition result is returned to described robot by the 3rd wireless communication module.
2. robot according to claim 1 recognition system, is characterized in that, described signal acquisition module comprises at least one in wireless signal acquiring unit, image acquisition units, sound collection unit, sensor collecting unit; Described wireless signal acquiring unit, for gathering the one in Bluetooth signal, GPS, WIFI, NFC signal, RFID signal or Zigbee signal; Described image acquisition units, for gathering the picture signal of target; Described sound collection signal, for gathering the voice signal of target; Described sensor collecting unit, for collecting temperature, electric current, voltage, magnetic signal or gas temperature or moisture signal.
3. robot according to claim 1 recognition system, is characterized in that, described signal analyse block adopts multiple processor structure, analyzes the signal that described signal acquisition module gathers.
4. robot according to claim 3 recognition system, is characterized in that, described signal analyse block, comprises bus, the primary processor be connected with bus and some from processor, storer and IO interface unit; Described IO interface unit, connects described signal acquisition module and described first wireless module; Described primary processor is coordinated respectively to carry out work from processor, storer, IO interface unit, signal acquisition module and the first wireless communication module; Each from processor, for carrying out analyzing and processing to multi-form signal, obtain recognition result.
5. robot according to claim 1 recognition system, is characterized in that, described robot also comprises function execution module; Described function execution module comprises at least one in display unit, sound playing unit, mechanical motion unit; Described function execution module performs corresponding task after described robot obtains recognition result.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109190360A (en) * | 2018-07-12 | 2019-01-11 | 上海常仁信息科技有限公司 | It is associated with the robot identity card system of robot classification |
| WO2019201346A1 (en) * | 2018-04-19 | 2019-10-24 | 苏州宝时得电动工具有限公司 | Self-moving device, server, and automatic working system therefor |
| CN110587608A (en) * | 2019-09-19 | 2019-12-20 | 唐山智无忧机器人科技有限公司 | Robot vision system and processing method thereof |
| CN111251322A (en) * | 2020-03-19 | 2020-06-09 | 温州雪尚电子科技有限公司 | Face recognition patrol robot capable of climbing steps |
| CN113112777A (en) * | 2021-04-07 | 2021-07-13 | 浙江磐至科技有限公司 | Wireless transmission security system based on system technology service under monitoring |
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2014
- 2014-12-03 CN CN201410727510.9A patent/CN104575489A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019201346A1 (en) * | 2018-04-19 | 2019-10-24 | 苏州宝时得电动工具有限公司 | Self-moving device, server, and automatic working system therefor |
| CN111868743A (en) * | 2018-04-19 | 2020-10-30 | 苏州宝时得电动工具有限公司 | Self-moving equipment, server and automatic working system thereof |
| EP3783534A1 (en) * | 2018-04-19 | 2021-02-24 | Positec Power Tools (Suzhou) Co., Ltd | Self-moving device, server, and automatic working system therefor |
| US20210157331A1 (en) * | 2018-04-19 | 2021-05-27 | Positec Power Tools (Suzhou) Co., Ltd | Self-moving device, server, and automatic working system thereof |
| EP3783534A4 (en) * | 2018-04-19 | 2022-01-05 | Positec Power Tools (Suzhou) Co., Ltd | Self-moving device, server, and automatic working system therefor |
| CN109190360A (en) * | 2018-07-12 | 2019-01-11 | 上海常仁信息科技有限公司 | It is associated with the robot identity card system of robot classification |
| CN110587608A (en) * | 2019-09-19 | 2019-12-20 | 唐山智无忧机器人科技有限公司 | Robot vision system and processing method thereof |
| CN111251322A (en) * | 2020-03-19 | 2020-06-09 | 温州雪尚电子科技有限公司 | Face recognition patrol robot capable of climbing steps |
| CN113112777A (en) * | 2021-04-07 | 2021-07-13 | 浙江磐至科技有限公司 | Wireless transmission security system based on system technology service under monitoring |
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