CN112699980A - General-purpose object recognition system - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0025—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement consisting of a wireless interrogation device in combination with a device for optically marking the record carrier
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0032—Apparatus for automatic testing and analysing marked record carriers, used for examinations of the multiple choice answer type
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
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Abstract
The invention discloses a general-purpose object recognition system, which has the technical scheme that: the method comprises the following steps: the system comprises a wireless equipment sensing module, a wireless information receiving module, a wireless information analysis module, a network communication module, a visual data storage module, a visual information receiving module, a visual information processing module and a control module, wherein the wireless equipment sensing module is used for sensing the signal intensity of wireless equipment; the invention has the advantages of low cost, high information processing speed, high safety performance, strong user privacy protection, convenient use and concise and intuitive data.
Description
Technical Field
The invention belongs to the field of general-purpose object recognition, and particularly relates to a general-purpose object recognition system.
Background
The primary technique of understanding the sense of the body is to communicate the senses of different senses and to induce a sense of transfer by association. In the technical and technical level, objects such as identity cards, dnas and the like are mostly identified through 'unique identification', and the objects are 'single-sense'. However, the real world is extremely complex, and many times, the sense of simplicity is not enough to distinguish the real object, so that the sense of versatility appears, for example, money and property related software enables a user to input an identity card and then perform face recognition. However, in this way, the program processing and the user operation are doubled, and the purpose is different, the identity card is to determine the validity of the login account, and the face recognition is to determine whether the user is the identity card. Although the 'general-sense' technology also aims at the same purpose or object to be processed through different types of sensing equipment, the respective single senses cannot uniquely determine the target, but determine the final target in a data intersection mode, so that the data volume of each sense processing can be reduced to a great extent, and the operation speed is improved.
At present, the VR image technology is too hot, the AR image recognition technology is not easy at all, and basically has no need of making an issue, and for various wireless signal positioning technologies, WIFI positioning, bluetooth positioning, RFID positioning and the like, a plurality of devices need to be arranged to determine one point, which is not accurate. In fact, both image recognition technology and wireless signal localization technology are aimed at solving a thing, "where is she? "if they can be effectively combined, they will complement each other.
The appearance of mobile device, let people's trip more and more convenient, very big promotion the exchange efficiency between people or people and the thing, in the middle of various applications, object identification is the means of using to obtain input data, moreover, object identification mode, for letting the user input information by oneself, it is more convenient, thereby increasingly popularized, nevertheless existing various object identification modes, from the hardware cost, the processing speed, system security, user privacy, convenience, data redundancy, on some column problems such as intuition, all there is the problem of a certain degree, consequently, need to establish one set urgently, the hardware is cheap, the processing speed is fast, the security is higher, more protect user privacy, it is more convenient to use, data are more succinct, more audio-visual object identification system.
Disclosure of Invention
The present invention is directed to a system for recognizing a sensible object, which solves the above-mentioned problems of the related art.
In order to achieve the purpose, the invention provides the following technical scheme:
a sensorial object recognition system comprising:
the wireless equipment sensing module is used for sensing the signal intensity of the wireless equipment;
a wireless information receiving module for receiving information inherent in the wireless device;
the wireless information analysis module is used for analyzing the signal intensity and the internal information of the wireless equipment;
the network communication module is used for uploading wireless information and downloading visual data;
the visual data storage module is used for storing visual data;
the visual information receiving module is used for receiving the field visual information;
the visual information processing module is used for comparing and analyzing the on-site visual information and the stored visual data;
a control module controlled by the system;
the visual data storage module comprises an information acquisition unit, an information storage unit and an information analysis processing unit, wherein the information acquisition unit is used for acquiring visual information, the information storage unit is used for storing the visual information acquired by the information acquisition unit, and the information analysis processing unit is used for classifying the visual information stored by the information storage unit;
the wireless device sensing module comprises a visual sensing unit, a wireless signal strength sensing unit and a wireless device sensing unit, and the intention of a user is finally determined through sensing signals of the visual sensing unit, the wireless signal sensing unit and the wireless device sensing unit.
Preferably, the acquiring of the visual information includes identifying at least one appearance feature of the real object, and comparing the visual information according to the stored information to acquire the visual information with the highest similarity as the visual information of the real object.
Preferably, the wireless signal strength sensing unit filters and lists the effective wireless device lists in the area according to the strength of the wireless signals in the area and the information content of the devices in the area, and sends the effective wireless device lists to the visual data storage module for storage and analysis.
Preferably, after receiving the wireless device list, the wireless information analysis module uploads the valid wireless device information to the network through comparative analysis, retrieves the visual data associated with the wireless device, and determines and identifies according to the returned visual data.
Preferably, the visual data includes a two-dimensional picture of the real object, a 3D model file, and a code number of the visual data already stored in the visual data storage module.
Preferably, when the information acquiring unit acquires the real object information, if there are a plurality of identified real objects meeting the acquiring condition, the information acquiring unit determines an identified object existing in the plurality of identified real objects closest to the receiving module as an identified real object, and then performs detail shooting on the determined identified real object and transmits the captured identified real object to the information storage unit for storage.
Preferably, when the storage threshold of the visual data in the information storage unit is reached, the existing visual data is deleted in order based on the time of the existing visual data that has not been used until now, the number of times of the existing visual data that has been used, and the two items, and then new visual data is added.
Preferably, the control module is configured to extract feature information of the real object included in the visual image acquired by the information acquisition unit, and send wireless information for identification determination including the extracted feature information and the position information of the real object to the visual data storage module.
Compared with the prior art, the invention has the beneficial effects that:
when the communication object recognition system is used, the sensed information and signal strength of the wireless equipment are analyzed and uploaded to the network, relevant visual data are obtained from the network and then are compared and analyzed with the visual information obtained on site, and the final target of a user is determined by taking the intersection of the visual information, the signal strength of the wireless equipment and the data of the wireless equipment.
Drawings
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
A sensorial object recognition system comprising:
the wireless equipment sensing module is used for sensing the signal intensity of the wireless equipment;
a wireless information receiving module for receiving information inherent in the wireless device;
the wireless information analysis module is used for analyzing the signal intensity and the internal information of the wireless equipment;
the network communication module is used for uploading wireless information and downloading visual data;
the visual data storage module is used for storing visual data;
the visual information receiving module is used for receiving the field visual information;
the visual information processing module is used for comparing and analyzing the on-site visual information and the stored visual data;
a control module controlled by the system;
the visual data storage module comprises an information acquisition unit, an information storage unit and an information analysis processing unit, wherein the information acquisition unit is used for acquiring visual information, the information storage unit is used for storing the visual information acquired by the information acquisition unit, and the information analysis processing unit is used for classifying the visual information stored by the information storage unit;
the wireless device sensing module comprises a visual sensing unit, a wireless signal strength sensing unit and a wireless device sensing unit, and the intention of the user is finally determined through sensing signals of the visual sensing unit, the wireless signal sensing unit and the wireless device sensing unit.
In this embodiment, preferably, the acquiring of the visual information includes identifying at least one appearance feature of the real object, and comparing the visual information according to the stored information to acquire the visual information with the highest similarity as the visual information of the real object.
In this embodiment, preferably, the wireless signal strength sensing unit filters and lists the valid wireless device lists in the area according to the strength of the wireless signals in the area and the information content of the devices in the area, and sends the valid wireless device lists to the visual data storage module for storage and analysis.
In this embodiment, preferably, after the wireless information analysis module receives the wireless device list, the wireless device list is compared and analyzed, the wireless device information is uploaded to the network, the visual data associated with the wireless device is retrieved, and the user performs judgment and identification according to the returned visual data.
In this embodiment, preferably, the visual data includes a two-dimensional picture of the real object, a 3D model file, and a code number of the visual data already stored in the visual data storage module.
In this embodiment, preferably, when the information acquiring unit acquires the real object information, if there are a plurality of identified real objects satisfying the acquisition condition, the information acquiring unit determines, as an identified real object, an object that exists in the plurality of identified real objects and is closest to the receiving module, and then performs detail shooting on the determined identified real object and transmits the captured object to the information storing unit for storage.
In this embodiment, preferably, when the visual data storage area in the information storage unit reaches the storage threshold, the existing visual data is deleted in order based on the time until the existing visual data is not used, the number of times the existing visual data was used, and the two items, and then new visual data is added.
In this embodiment, preferably, the control module is configured to extract feature information of the real object included in the visual image acquired by the information acquisition unit, and send wireless information for identification determination including the extracted feature information and the position information of the real object to the visual data storage module.
When the communication object recognition system is used, the sensed information and signal strength of the wireless equipment are analyzed and uploaded to the network, relevant visual data are obtained from the network and then are compared and analyzed with the visual information obtained on site, and the final target of a user is determined by taking the intersection of the visual information, the signal strength of the wireless equipment and the data of the wireless equipment.
1. Relatively scan two-dimensional code, when the object is as the propaganda, do not have pleasing to the eye problem, enlarge how much all can, it is more convenient, need not close scanning, avoid the appearance of phenomenon of lining up more easily.
2. The subsequent citation of the operation of the scanned real object can improve the propaganda times of the object (merchant brand and the like), so that the popularity is improved.
3. The general knowledge of the user can distinguish whether the scanned object is safe or not, and the safety is improved (compared with a two-dimensional code, the trademark can be distinguished conveniently.
4. The information coding mode change of the wireless equipment can be remotely and invisibly controlled by a background, and the cost is saved.
5. Compared with a single sensing indoor positioning device, a plurality of positioning devices are not needed, each object (a merchant or an individual) is provided with one wireless device, and cost and data redundancy are reduced.
6. Compared with the technology of directly uploading the user camera shooting content to the network for cloud identification, the method only uploads the internal information of the wireless equipment to the network, and the privacy of the user is further protected.
7. For moving objects (mobile merchants, ice cream cars, stalls and the like), the coordinate transformation does not need to be applied when transforming the coordinates (relative to the GPS), and the coordinate information of the scanning party and the scanned party is absolutely safe.
8. The method strengthens the awareness of the ownership of the object (LOGO trademark), helps the market value of the object after being promoted (the stall can not go to the dealer and manager to register the trademark, but if the user scans the self-made trademark of the stall for payment, the possibility of going to the official store is greatly improved due to the brand awareness degree formed).
9. The information complexity of server processing is reduced (the server only searches for patterns according to a clue without image recognition processing), the utilization rate of terminal hardware is improved (the image recognition mobile phone with large data volume cannot run up and the image recognition mobile phone with small data volume can not run up), and the load of the server and the terminal is balanced.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A sensorial object recognition system comprising:
the wireless equipment sensing module is used for sensing the signal intensity of the wireless equipment;
a wireless information receiving module for receiving information inherent in the wireless device;
the wireless information analysis module is used for analyzing the signal intensity and the internal information of the wireless equipment;
the network communication module is used for uploading wireless information and downloading visual data;
the visual data storage module is used for storing visual data;
the visual information receiving module is used for receiving the field visual information;
the visual information processing module is used for comparing and analyzing the on-site visual information and the stored visual data;
a control module controlled by the system;
the visual data storage module comprises an information acquisition unit, an information storage unit and an information analysis processing unit, wherein the information acquisition unit is used for acquiring visual information, the information storage unit is used for storing the visual information acquired by the information acquisition unit, and the information analysis processing unit is used for classifying the visual information stored by the information storage unit;
the wireless device sensing module comprises a visual sensing unit, a wireless signal strength sensing unit and a wireless device sensing unit, and the intention of a user is finally determined through sensing signals of the visual sensing unit, the wireless signal sensing unit and the wireless device sensing unit.
2. A generic object recognition system as claimed in claim 1, wherein: and the step of acquiring the visual information comprises identifying at least one appearance characteristic of the real object, comparing the appearance characteristics according to the stored information, and acquiring the visual information with the highest similarity as the visual information of the real object.
3. A generic object recognition system as claimed in claim 1, wherein: the wireless signal intensity sensing unit filters and lists effective wireless equipment in the area according to the intensity of wireless signals in the area and the information content of the equipment in the area, and meanwhile, the effective wireless equipment list is sent to the visual data storage module to be stored and analyzed.
4. A generic object recognition system as claimed in claim 3, wherein: and after receiving the wireless equipment list, the wireless information analysis module uploads the effective wireless equipment information to a network through comparison and analysis, retrieves visual data associated with the wireless equipment, and judges and identifies according to the returned visual data by a user.
5. A generic object recognition system as claimed in claim 4, wherein: the visual data comprises a two-dimensional picture of a real object, a 3D model file and a coding code of the visual data which is already stored in the visual data storage module.
6. A generic object recognition system as claimed in claim 1, wherein: when the information acquisition unit acquires the real object information, if a plurality of identified real objects meeting the acquisition condition exist, the information acquisition unit determines the identified object which exists in the plurality of identified real objects and is closest to the receiving module as an identified real object, and then performs detail shooting on the determined identified real object and transmits the shot to the information storage unit for storage.
7. A generic object recognition system as claimed in claim 1, wherein: when the visual data storage area in the information storage unit reaches the storage threshold, the existing visual data is deleted in sequence according to the time of the existing visual data which is not used until now, the used times and two items, and then new visual data is added.
8. A generic object recognition system as claimed in claim 1, wherein: the control module is used for extracting the characteristic information of the real object in the visual image acquired by the information acquisition unit and sending the wireless information for identification and judgment including the extracted characteristic information and the position information of the real object to the visual data storage module.
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| CN202110006407.5A CN112699980A (en) | 2021-01-05 | 2021-01-05 | General-purpose object recognition system |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050104956A1 (en) * | 2003-09-29 | 2005-05-19 | Fuji Photo Film Co., Ltd. | Imaging device, information storage server, article identification apparatus and imaging system |
| CN104537401A (en) * | 2014-12-19 | 2015-04-22 | 南京大学 | Reality augmentation system and working method based on technologies of radio frequency identification and depth of field sensor |
| CN104838230A (en) * | 2012-08-31 | 2015-08-12 | 爱帝塔格科技集团公司 | Device, system and method for identification of object in an image, and a transponder |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050104956A1 (en) * | 2003-09-29 | 2005-05-19 | Fuji Photo Film Co., Ltd. | Imaging device, information storage server, article identification apparatus and imaging system |
| CN104838230A (en) * | 2012-08-31 | 2015-08-12 | 爱帝塔格科技集团公司 | Device, system and method for identification of object in an image, and a transponder |
| CN104537401A (en) * | 2014-12-19 | 2015-04-22 | 南京大学 | Reality augmentation system and working method based on technologies of radio frequency identification and depth of field sensor |
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