CN213482090U - Artificial Intelligence (AI) recognition system for road surface cleanliness - Google Patents
Artificial Intelligence (AI) recognition system for road surface cleanliness Download PDFInfo
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- CN213482090U CN213482090U CN202020906194.2U CN202020906194U CN213482090U CN 213482090 U CN213482090 U CN 213482090U CN 202020906194 U CN202020906194 U CN 202020906194U CN 213482090 U CN213482090 U CN 213482090U
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- data transceiver
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Abstract
The utility model discloses an AI artificial intelligence identification system of road surface cleanliness, which comprises a comparison chip, an anti-shake camera, an external data transceiver and a power supply, wherein the anti-shake camera, the external data transceiver and the power supply are connected in sequence; the comparison chip is arranged in a computer of the data center and is also provided with a data transceiver connected with an external data transceiver; the anti-shake cameras are arranged in the camera monitoring boxes of all traffic intersections; the camera monitoring box is of a cube structure, and a cover is arranged at the bottom of the camera monitoring box. The system is a set of monitoring equipment, can acquire data of the cleanliness of the road surface in real time and at regular time, compares the road surface conditions through the transmission of high-speed mobile data, and finally realizes grading, and has the advantages of low cost, wide coverage area, high automation operation effect and low fault tolerance rate.
Description
Technical Field
The utility model belongs to sanitation cleanliness identification equipment field, concretely relates to road surface cleanliness AI artificial intelligence identification system.
Background
In the existing sanitation cleanliness testing equipment, the concrete conditions of the road surface are identified by manually referring to the corresponding cleanliness standards, the problems of high cost, low efficiency, too subjective accuracy and the like exist, along with the development of science and technology, the application of AI artificial intelligence is more extensive, and the equipment and the scheme are very urgent for more humanized monitoring equipment and monitoring schemes in the sanitation equipment.
SUMMERY OF THE UTILITY MODEL
In order to solve the problem, the utility model discloses a road surface cleanliness AI artificial intelligence identification system, this system are one set of supervisory equipment, can be in real time, regularly carry out data acquisition to the cleanliness on road surface, and the propagation of rethread high-speed mobile data is compared the road surface condition, realizes the rating at last, and is with low costs, wide, the automatic operation effect of coverage is high, the fault-tolerant rate is low.
The technical scheme of the utility model:
the AI artificial intelligence recognition system comprises a comparison chip, an anti-shake camera, an external data transceiver and a power supply, wherein the anti-shake camera, the external data transceiver and the power supply are sequentially connected; the comparison chip is arranged in a computer of the data center and is also provided with a data transceiver connected with an external data transceiver; the anti-shake cameras are arranged in the camera monitoring boxes of all traffic intersections; the camera monitoring box is of a cube structure, wherein a cover is arranged at the bottom of the camera monitoring box; two illuminating lamps are also arranged in the camera detection box and are respectively positioned on the left and the right of the anti-shake camera; the cover is connected with the camera monitoring box through an electric hinge; the electric hinge is connected with the external data transceiver and is powered by a power supply.
The utility model discloses a general concept reforms transform current camera, improves into the anti-shake camera that can carry out the sample in real time to the road surface, has designed a camera monitoring box simultaneously, cleanliness, security etc. that can effectual protection camera, for the precision that improves the sample, is equipped with the light on different angles irradiation road surface respectively in the both sides of anti-shake camera.
Furthermore, the power supply adopts a solar panel independent battery for supplying power.
Furthermore, the camera monitoring box is externally connected with an installation supporting rod, and a through hole fixed by a nut is formed in the installation supporting rod.
Furthermore, the comparison chip is integrated in the computer and connected with the hard disk, and the anti-shake camera transmits back picture information for picture analysis.
Furthermore, classification templates corresponding to the dust coverage rate, the humidity and the foreign matter number are preset in the comparison chip, and the cleanliness identification can be carried out by distinguishing codes through preset AI codes.
The utility model has the advantages that: one set of such supervisory equipment can carry out data acquisition to the cleanliness on road surface in real time, regularly, and the propagation of rethread high-speed removal data compares the road surface condition, realizes the level at last, and is with low costs, the area coverage is wide, automatic operation effect is high, the fault-tolerant rate is low. And professional sample camera is equipped with the camera monitoring box, and the cleanliness, the security of camera can effectual protection to the electronic hinge.
Drawings
Fig. 1 is a schematic structural view of the AI artificial intelligence recognition system for road surface cleanliness of the utility model;
FIG. 2 is a schematic connection diagram of the AI artificial intelligence recognition system for road surface cleanliness of the utility model;
names and sequence numbers in the figure:
Detailed Description
The present invention will be further explained with reference to the accompanying drawings.
Example 1:
as shown in the figure, the AI artificial intelligence recognition system for the road surface cleanliness comprises a comparison chip, an anti-shake camera 2, an external data transceiver and a power supply, wherein the anti-shake camera 2, the external data transceiver and the power supply are sequentially connected; the comparison chip is arranged in a computer of the data center and is also provided with a data transceiver connected with an external data transceiver; the anti-shake cameras 2 are arranged in the camera monitoring boxes 1 of all traffic intersections; the camera monitoring box 1 is of a cube structure, wherein a cover 5 is arranged at the bottom of the camera monitoring box; two illuminating lamps 4 are also arranged in the camera detection box and are respectively positioned on the left and the right of the anti-shake camera 2; the cover 5 is connected with the camera monitoring box 1 through an electric hinge; the electric hinge is connected with the external data transceiver and is powered by a power supply.
The power supply adopts a solar cell panel independent battery for power supply.
The camera monitoring box 1 is externally connected with an installation supporting rod 6, and a through hole 3 fixed by a nut is arranged on the installation supporting rod 6.
The comparison chip is integrated in the computer and connected with the hard disk, and transmits back picture information to the anti-shake camera 2 for picture analysis.
And comparing the grading templates corresponding to the dust coverage rate, the humidity and the foreign matter number in the chip, and distinguishing the codes by presetting AI codes to identify the cleanliness.
It should be noted that the above-mentioned embodiments are only for illustrating the technical concept and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and to implement the present invention, so as not to limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered by the protection scope of the present invention.
Claims (5)
1. The AI artificial intelligence recognition system for the road surface cleanliness comprises a comparison chip, an anti-shake camera, an external data transceiver and a power supply, wherein the anti-shake camera, the external data transceiver and the power supply are sequentially connected; the comparison chip is arranged in a computer of the data center and is also provided with a data transceiver connected with an external data transceiver;
it is characterized in that the preparation method is characterized in that,
the anti-shake cameras are arranged in the camera monitoring boxes of all traffic intersections;
the camera monitoring box is of a cube structure, and a cover is arranged at the bottom of the camera monitoring box;
two illuminating lamps are also arranged in the camera detection box and are respectively positioned on the left and the right of the anti-shake camera;
the cover is connected with the camera monitoring box through an electric hinge;
the electric hinge is connected with the external data transceiver and is powered by a power supply.
2. The AI artificial intelligence recognition system of road cleanliness according to claim 1, wherein the power supply is powered by a solar panel independent battery.
3. The AI artificial intelligence recognition system of road surface cleanliness according to claim 1, wherein the camera monitoring box is externally connected with a mounting support rod, and the mounting support rod is provided with a through hole for nut fixation.
4. The AI artificial intelligence recognition system of road cleanliness according to claim 1, wherein the comparison chip is integrated in a computer and connected to a hard disk, and transmits back picture information from an anti-shake camera for picture analysis.
5. The AI artificial intelligence recognition system for road surface cleanliness according to claim 1, wherein a grading template corresponding to each dust coverage, humidity and foreign matter number is preset in the comparison chip, and cleanliness recognition can be performed by presetting an AI code identification code.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020906194.2U CN213482090U (en) | 2020-05-26 | 2020-05-26 | Artificial Intelligence (AI) recognition system for road surface cleanliness |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020906194.2U CN213482090U (en) | 2020-05-26 | 2020-05-26 | Artificial Intelligence (AI) recognition system for road surface cleanliness |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN213482090U true CN213482090U (en) | 2021-06-18 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202020906194.2U Active CN213482090U (en) | 2020-05-26 | 2020-05-26 | Artificial Intelligence (AI) recognition system for road surface cleanliness |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN213482090U (en) |
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2020
- 2020-05-26 CN CN202020906194.2U patent/CN213482090U/en active Active
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