CN216697033U - Cloud platform tracking system based on image recognition - Google Patents
Cloud platform tracking system based on image recognition Download PDFInfo
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- CN216697033U CN216697033U CN202220043724.4U CN202220043724U CN216697033U CN 216697033 U CN216697033 U CN 216697033U CN 202220043724 U CN202220043724 U CN 202220043724U CN 216697033 U CN216697033 U CN 216697033U
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- image recognition
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The utility model discloses a cloud deck tracking system based on image recognition, which comprises a microprocessor, wherein the input end of the microprocessor is respectively and electrically connected with a power supply module and a timing rechecking module, and the input end of the microprocessor is respectively and electrically connected with an infrared positioning module, a steering engine cloud deck module and a satellite positioning module. The utility model solves the problems that the tracking and positioning module of the existing tripod head tracking system based on image recognition is single in use, so that the positioning information precision is low, the functions of secondary verification and positioning information rechecking are not provided, and certain inconvenience is possibly caused to the use of a user.
Description
Technical Field
The utility model relates to the technical field of image recognition, in particular to a holder tracking system based on image recognition.
Background
Image recognition, which refers to a technique for processing, analyzing and understanding images by a computer to recognize various different patterns of objects and objects, is a practical application of applying a deep learning algorithm.
In the process of cloud deck tracking, a cloud deck tracking system based on image recognition is often needed, and the tracking and positioning module of the existing cloud deck tracking system based on image recognition is generally single in the use process, so that the positioning information precision is low, the function of secondary verification and location information rechecking is not provided, and certain inconvenience may be caused to the use of a user.
SUMMERY OF THE UTILITY MODEL
The utility model aims to provide an image recognition-based holder tracking system, which has the advantages of high positioning accuracy and repeated verification, and solves the problems that the conventional image recognition-based holder tracking system usually has a single tracking and positioning module in the use process, so that the positioning information accuracy is low, and the conventional image recognition-based holder tracking system does not have the functions of secondary verification and repeated detection of the positioning information and possibly causes certain inconvenience to the use of a user.
In order to achieve the purpose, the utility model provides the following technical scheme: the utility model provides a cloud platform tracking system based on image recognition, includes microprocessor, microprocessor's input electric connection has power module and regularly rechecks the module respectively, microprocessor's input electric connection has infrared positioning module, steering wheel cloud platform module and satellite positioning module respectively, microprocessor two-way electric connection has interactive module and wireless signal transceiver module respectively, microprocessor's output electric connection has location information check module, location information check module's output electric connection has drive module, drive module's output electric connection has image recognition module and image recording module respectively.
Preferably, the wireless signal transceiver module is electrically connected with a log backup module in a bidirectional manner, and the log backup module comprises a local backup module and a cloud backup module.
Preferably, the local backup module is a detachable SD card, and the cloud backup module is a storage unit in a cloud server.
Preferably, the interaction module includes an input module, a secondary confirmation module and an information feedback module, and the input module is specifically a touch panel.
Preferably, the secondary confirmation module is specifically a start-stop key, and the information feedback module is specifically a display.
Compared with the prior art, the utility model has the following beneficial effects:
1. the utility model solves the problems that the tracking and positioning module of the existing cradle head tracking system based on image recognition is single in use, so that the positioning information precision is low, the cradle head tracking system does not have the functions of secondary verification and rechecking of the positioning information, and certain inconvenience can be caused to the use of a user.
2. The power supply module is arranged, so that power can be supplied to the equipment;
the wireless signal receiving and transmitting module is arranged, so that the wireless signal can be received and transmitted;
by arranging the log backup module, the information of each position calibration can be recorded, so that the staff can conveniently look up the information after the fault occurs;
by arranging the interaction module, a user can conveniently carry out human-computer interaction;
through setting up regularly reinspected module, can regularly transmit reinspected signal to microprocessor, impel microprocessor to carry out the reinspection to locating information.
Drawings
FIG. 1 is a first schematic diagram of the system of the present invention;
FIG. 2 is a second schematic diagram of the system of the present invention;
fig. 3 is a third schematic diagram of the system 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.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted", "provided", "connected", and the like are to be construed broadly, such as "connected", which may be fixedly connected, detachably connected, or integrally connected; the connection can be mechanical connection or electrical connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
Referring to fig. 1-3, an image recognition-based pan-tilt tracking system comprises a microprocessor, wherein the input end of the microprocessor is electrically connected with a power supply module and a timing rechecking module respectively, the input end of the microprocessor is electrically connected with an infrared positioning module, a steering engine pan-tilt module and a satellite positioning module respectively, the microprocessor is electrically connected with an interaction module and a wireless signal transceiving module respectively in a bidirectional mode, the output end of the microprocessor is electrically connected with a positioning information checking module, the output end of the positioning information checking module is electrically connected with a driving module, and the output end of the driving module is electrically connected with an image recognition module and an image recording module respectively.
The wireless signal transceiver module is electrically connected with a log backup module in a bidirectional mode, and the log backup module comprises a local backup module and a cloud backup module.
The local backup module is a detachable SD card, and the cloud backup module is a storage unit in a cloud server.
The interaction module comprises an input module, a secondary confirmation module and an information feedback module, wherein the input module is a touch panel.
The secondary confirmation module is specifically a start-stop key, and the information feedback module is specifically a display.
The power supply module is arranged to supply power to the equipment;
the wireless signal receiving and transmitting module is arranged, so that the wireless signal can be received and transmitted;
by arranging the log backup module, the information of each position calibration can be recorded, so that the staff can conveniently look up the information after the fault occurs;
by arranging the interaction module, a user can conveniently carry out human-computer interaction;
through setting up regularly reinspected module, can regularly transmit the reinspected signal to microprocessor, impel microprocessor to carry out the reinspection to locating information.
During the use, infrared orientation module and miniature orientation module carry out preliminary record to its locating information, then transmit to microprocessor, steering wheel cloud platform module simultaneously records its locating information through laser secondary positioning, and then pass to microprocessor, microprocessor interacts with the user through interactive module, confirm it through input module and secondary confirmation module after the user confirms, interactive module transmission signal to microprocessor, microprocessor transmission signal carries out check-up many times to it to locating information check-up module, confirm accurate back transmission information to drive module of result, drive module is respectively with signal transmission to image identification module and image recording module, carry out cloud platform tracking.
In summary, the following steps: this cloud platform tracking system based on image recognition, through setting up infrared orientation module, steering wheel cloud platform module, satellite positioning module, microprocessor, positioning information check module, power module, regularly reinspects the module, drive module, image recognition module, image recording module and interactive module's cooperation is used, it is comparatively single that it trails the orientation module to have solved current cloud platform tracking system based on image recognition usually in the use, make its positioning information precision lower, and do not have secondary check-up and reinspection positioning information's function, may cause certain inconvenient problem for user's use.
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 utility model, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. The utility model provides a cloud platform tracking system based on image recognition, includes microprocessor, its characterized in that: the input end of the microprocessor is respectively and electrically connected with a power supply module and a timing rechecking module, the input end of the microprocessor is respectively and electrically connected with an infrared positioning module, a steering engine holder module and a satellite positioning module, the microprocessor is respectively and electrically connected with an interaction module and a wireless signal receiving and transmitting module in a bidirectional mode, the output end of the microprocessor is electrically connected with a positioning information checking module, the output end of the positioning information checking module is electrically connected with a driving module, and the output end of the driving module is respectively and electrically connected with an image recognition module and an image recording module.
2. An image recognition-based pan-tilt tracking system according to claim 1, wherein: the wireless signal transceiver module is electrically connected with a log backup module in a bidirectional mode, and the log backup module comprises a local backup module and a cloud backup module.
3. An image recognition-based pan-tilt tracking system according to claim 2, wherein: the local backup module is a detachable SD card, and the cloud backup module is a storage unit in a cloud server.
4. An image recognition-based pan-tilt tracking system according to claim 1, wherein: the interaction module comprises an input module, a secondary confirmation module and an information feedback module, wherein the input module is a touch panel.
5. An image recognition-based pan-tilt tracking system according to claim 4, wherein: the secondary confirmation module is specifically a start-stop key, and the information feedback module is specifically a display.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202220043724.4U CN216697033U (en) | 2022-01-10 | 2022-01-10 | Cloud platform tracking system based on image recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202220043724.4U CN216697033U (en) | 2022-01-10 | 2022-01-10 | Cloud platform tracking system based on image recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN216697033U true CN216697033U (en) | 2022-06-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202220043724.4U Active CN216697033U (en) | 2022-01-10 | 2022-01-10 | Cloud platform tracking system based on image recognition |
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| CN (1) | CN216697033U (en) |
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- 2022-01-10 CN CN202220043724.4U patent/CN216697033U/en active Active
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| GR01 | Patent grant | ||
| CP02 | Change in the address of a patent holder |
Address after: 9th Floor, Building 3, Zone 6, No. 188 South Fourth Ring West Road, Fengtai District, Beijing, 100070 Patentee after: Beijing Guolian video information technology Co.,Ltd. Address before: Room 703, building 1, No. 1, Shangdi Information Road, Haidian District, Beijing 100089 Patentee before: Beijing Guolian video information technology Co.,Ltd. |
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| CP02 | Change in the address of a patent holder |