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An in-vehicle sanitation automatic identification method and system based on deep learning

A deep learning and automatic identification technology, applied in the field of deep learning, can solve problems such as heavy tasks, high cleaning costs, and difficult implementation, and achieve the effect of improving cleaning efficiency and saving cleaning costs

Pending Publication Date: 2019-04-02
北京首汽智行科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, with the improvement of car use efficiency, the sanitation inside the car is getting worse and worse, and the poor sanitation is also one of the most complained problems when users use the car
For service providers of shared cars, the vehicles are scattered all over the city. It is basically difficult to confirm the sanitary conditions in the cars and decide whether to clean them, which is costly and heavy.

Method used

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  • An in-vehicle sanitation automatic identification method and system based on deep learning
  • An in-vehicle sanitation automatic identification method and system based on deep learning
  • An in-vehicle sanitation automatic identification method and system based on deep learning

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Embodiment Construction

[0024] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0025] refer to figure 1 According to the embodiment of the present invention, the deep learning-based automatic identification method for in-vehicle hygiene includes the following steps:

[0026] S101, monitor the order status of the user, and determine whether the user has settled the order according to the order status;

[0027] S102, if yes, collect photos of the interior of the vehicle and upload the photos to the file server, wherein the photos include photos of the center console, floor mats and front seats of the vehicle;

[0028] S103, receiving the URL of the photo returned by the file server and inputting the URL and the order number into the trained neural network model;

[0029] S104. Receive the recognition result and the order number returned by the neural network model, and decide whether to notify the operation and main...

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Abstract

The invention discloses an in-vehicle sanitation automatic identification method and system based on deep learning and relates to the technical field of deep learning. The method includes monitoring order state of a user; depending on order status, judging whether the user has paid an order or not; if yes, collecting a picture in the vehicle and uploading the picture to the file server; receivingthe URL of the photo returned by the file server and inputting the URL and the order number into the trained neural network model; receiving an identification result and an order number returned by the neural network model, Depending on recognition results, determining whether to inform operation and maintenance personnel to clean the vehicle corresponding to the order number; the sanitation condition in the vehicle can be automatically identified according to an identification result; according to the cleaning method, whether the vehicle is cleaned or not is determined, the sanitation condition in the vehicle does not need to be confirmed one by one, the cleaning efficiency is improved, the cleaning cost is saved, and the defects that in the prior art, the cleaning efficiency is low and the cleaning cost is high due to the fact that the sanitation condition in the vehicle needs to be confirmed one by one are overcome.

Description

technical field [0001] The invention relates to the technical field of deep learning, in particular to a deep learning-based automatic identification method and system for in-vehicle sanitation. Background technique [0002] With the rise of Internet of Vehicles technology, more and more shared cars are distributed in the streets and alleys of cities. Shared cars improve the efficiency of car use, facilitate the travel of users, and reduce the cost of travel for users. However, with the improvement of the efficiency of car use, the sanitation inside the car is getting worse and worse, and the poor sanitation is also one of the most complained by users when using the car. For car-sharing service providers, the vehicles are scattered all over the city. It is basically difficult to confirm the sanitary conditions in the vehicles and decide whether to clean them, which is costly and heavy. Contents of the invention [0003] In order to solve the deficiencies of the prior art...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06V20/59G06N3/045
Inventor 方李根李鹏郑永辉高谦
Owner 北京首汽智行科技有限公司