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Intelligent crossing container inspection method

A crossing and container inspection technology, which is applied in the field of intelligent crossing container inspection, can solve problems such as inaccurate empirical judgment, low efficiency of container inspection, and limited container circulation efficiency

Active Publication Date: 2020-09-04
苏州凝眸物联科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The development of containers is of great significance, but the current inspection process still requires unpacking at a fixed yard, and manual identification and recording, resulting in inaccurate empirical judgments and low inspection efficiency, which severely limits the circulation of containers. Efficiency, now with the development of artificial intelligence technology, there is a technology for automatic container inspection when container transport vehicles pass through the yard crossing. The container inspection process can be completed automatically without landing, thus greatly liberating human resources. Improve operational efficiency

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] Such as figure 1 , Figure 4 and Figure 5 As shown, it is a schematic diagram of the general steps of a kind of intelligent crossing inspection method of the present invention, and this example includes the following steps:

[0031] Step 1: Obtain container anomaly detection data set and container quality evaluation data set;

[0032] In this example, the pictures and annotation information taken by the preset camera are used as the detection sample set, which is used to train the deep neural network object detector and quality evaluator.

[0033] Step 2: Train container anomaly detection deep neural network model and container quality evaluation deep neural network model;

[0034] In this example, the container anomaly learning sample set is used to train the deep neural network to obtain and store the container anomaly detection model. The steps may include, but are not limited to: converting the container anomaly learning sample set into the VOC standard data set...

Embodiment 2

[0049] Such as figure 2 , Figure 4 and Figure 5 As shown, it is a schematic diagram of the general steps of a kind of intelligent crossing inspection method of the present invention, and this example includes the following steps:

[0050] Step 1: Obtain container anomaly detection data set and container quality evaluation data set;

[0051] In this example, the pictures and annotation information taken by the preset camera are used as the detection sample set, which is used to train the deep neural network object detector and quality evaluator.

[0052] Step 2: Train container anomaly detection deep neural network model and container quality evaluation deep neural network model;

[0053] In this example, the container anomaly learning sample set is used to train the deep neural network to obtain and store the container anomaly detection model. The steps may include, but are not limited to: converting the container anomaly learning sample set into the VOC standard data se...

Embodiment 3

[0064] Such as image 3 , Figure 4 and Figure 5 As shown, it is a schematic diagram of the general steps of a kind of intelligent crossing inspection method of the present invention, and this example includes the following steps:

[0065] Step 1: Obtain container anomaly detection data set and container quality evaluation data set;

[0066] In this example, the pictures and annotation information taken by the preset camera are used as the detection sample set, which is used to train the deep neural network object detector and quality evaluator.

[0067] Step 2: Train container anomaly detection deep neural network model and container quality evaluation deep neural network model;

[0068] In this example, the container anomaly learning sample set is used to train the deep neural network to obtain and store the container anomaly detection model. The steps may include, but are not limited to: converting the container anomaly learning sample set into the VOC standard data set...

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Abstract

The invention discloses an intelligent crossing container inspection method. The method comprises the steps: 1, acquiring a container data set; 2, training a deep neural network model to detect and evaluate the container; 3, when the container transport vehicle drives into the crossing, enabling the license plate recognition system to automatically capture a license plate number and uploads the license plate number to the big data management system for management; and step 4, carrying out shooting and OCR identification on the container, carrying out abnormal point detection through the network model obtained in the step 2, carrying out container quality evaluation on the obtained image, and carrying out weighted average on all results to obtain a final quality score. According to the invention, through a two-stage triggering mode and in combination with the process that the container transport vehicle enters the crossing, container abnormal points in various different crossing scenescan be accurately identified, the abnormal condition of the container body can be detected in real time, and the overall condition of the container can be rapidly evaluated to complete container inspection.

Description

technical field [0001] The invention relates to the technical field of computer digital image processing and pattern recognition technology, in particular to an intelligent crossing inspection method. Background technique [0002] Container refers to a large-scale loading container with certain strength, rigidity and specifications specially used for turnover. Using containers to transship goods can be directly loaded in the consignor's warehouse and unloaded in the consignee's warehouse. When changing vehicles or ships midway, there is no need to take out the goods from the box for repacking. So the container is a great invention. The greatest success of the container lies in the standardization of its products and the entire transportation system established thereby. It is indeed worthy of the standardization of a behemoth with a load of tens of tons, and based on this, the gradual realization of a global logistics system for ships, ports, routes, highways, transfer stat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00G06K9/34G06N3/04G06N3/08
CPCG06T7/0002G06N3/08G06T2207/20084G06T2207/20081G06T2207/30168G06V20/00G06V30/153G06V20/625G06N3/045Y02T10/40
Inventor 曹生华钱学明王萱
Owner 苏州凝眸物联科技有限公司
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