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Intelligent transportation management system and method based on image recognition

A transportation management system and image recognition technology, applied in character and pattern recognition, data processing applications, instruments, etc., can solve problems such as time-consuming, supervision, and inability to achieve transportation, and achieve easy image recognition and reduce processes. Effect

Pending Publication Date: 2020-05-12
贵州梵添科技有限公司
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  • Description
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AI Technical Summary

Problems solved by technology

However, this method still has the following disadvantages: when the same transport vehicle transports one building material, another building material is hidden in it, and the single transport volume measured by the scale is greater than the actual transport volume; The type of material requires staff to check on the car, which takes a lot of time and is prone to safety risks
However, the use of image recognition will have the following disadvantages: First, it is necessary to obtain images from multiple angles, so it is necessary to set up cameras at multiple angles, or to use a camera, but it is necessary to take images from different angles, so that the manpower and expense of maintaining the camera Increase
The second is that the single transportation volume may not fill the entire carriage, but the image recognition uses the volume of the carriage as the volume of a single transportation, and there are errors between the data
The third is that it still cannot solve the situation of hiding another building material under the building material, and cannot realize effective supervision of the transportation situation

Method used

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Experimental program
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Effect test

Embodiment 1

[0046] Intelligent transportation management system based on image recognition, as attached figure 1 As shown, it includes the loading analysis subsystem, auxiliary analysis subsystem, and database. The database is preset with reference length, spatial relationship, standard auxiliary distance, several auxiliary displacements and loading capacity association tables, loading material and weight association table, and standard The auxiliary distance is the distance from the bottom of the carriage to the ground when the vehicle is unloaded; the auxiliary displacement and load capacity association table records the corresponding relationship between the auxiliary displacement and the theoretical load weight interval, and the auxiliary displacement and theoretical load weight intervals exist under different models. The difference; the material and weight association table records the corresponding relationship between the material of the load and the unit weight, and the unit weight o...

Embodiment 2

[0058] The difference between the present embodiment and the first embodiment is that the theoretical cargo information is not directly identified by AI technology, but obtained by identifying its vehicle model. In this embodiment, in order to match different transportation tasks, multiple types of vehicles are used, that is, the standard assistance distances of different vehicles are related to vehicle types.

[0059] An information comparison table is also preset in the database, and the information comparison table records the comparison relationship of the vehicle's license plate, vehicle model, theoretical cargo information, and standard auxiliary distance.

[0060] The comparative analysis module is also used to obtain the standard auxiliary distance, the license plate of the vehicle is identified according to the vehicle analysis module, the information comparison table is obtained from the database, and the standard auxiliary distance is screened out from the informatio...

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Abstract

The invention relates to the technical field of transportation management, in particular to an intelligent transportation management system and method based on image recognition. The system comprises:a cargo analysis subsystem which is used for obtaining an image A of a vehicle contour with a reference mark, obtaining a preset reference length of the reference mark, and obtaining the mark lengthof the reference mark according to the image A and the reference length, and is also used for acquiring theoretical cargo carrying information and calculating the actual cargo carrying volume according to the marked length and the theoretical cargo carrying information; and an auxiliary analysis subsystem which is used for acquiring the standard auxiliary distance, the actual auxiliary distance and the loading material, and generating an auxiliary analysis conclusion according to the standard auxiliary distance, the actual auxiliary distance, the loading material and the actual loading volume.By the adoption of the scheme, effective statistics can be conducted on the actual loading volume of the vehicle at a time according to the reference marks, the actual loading volume is checked through downward movement of the carriage, and therefore the situation that another building material is hidden under the building material is avoided, and the transportation situation is effectively supervised.

Description

technical field [0001] The invention relates to the technical field of transportation management, in particular to an image recognition-based intelligent transportation management system and method. Background technique [0002] No matter in all walks of life, the management of goods is extremely important, especially for the traditional construction industry, so a separate transportation management department will be set up to manage the transportation of construction materials. For the transportation management of building materials, it is necessary to count the data such as the type of building materials, the number of transportation, the single transportation volume, and the total transportation volume. The manual management method requires a lot of manpower and a large workload. Semi-intelligent transportation management system. [0003] By setting up a scale at the loading site, the weight displayed on the scale is regarded as a single transport amount, and the type o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06Q50/30
CPCG06V20/584G06Q50/40
Inventor 杨玉丹
Owner 贵州梵添科技有限公司
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