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Multi-area feature acquisition method of automotive components, identification method of automotive components and its application in smart glasses

A technology of identification method and collection method, applied in the field of automobile data identification, can solve the problems of indistinguishable items of different models, poor real-time processing ability, etc., to facilitate category search and brand positioning, improve speed, and reduce mutual waiting time.

Active Publication Date: 2019-08-27
DALIAN ROILAND SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the application in automobile maintenance is still in its infancy, and related applications are still in the early stages of development, especially when using smart glasses for object detection or target classification, there are often problems such as poor real-time processing capabilities or difficulty in distinguishing between different types of objects.

Method used

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  • Multi-area feature acquisition method of automotive components, identification method of automotive components and its application in smart glasses
  • Multi-area feature acquisition method of automotive components, identification method of automotive components and its application in smart glasses
  • Multi-area feature acquisition method of automotive components, identification method of automotive components and its application in smart glasses

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Experimental program
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Effect test

Embodiment 1

[0027] A method for collecting multi-regional features of automotive components. During the classification training of automotive components, the features used by the automotive component classifier are evenly divided into intervals; when identifying automotive components, the multi-regional features of the automotive components to be collected are parallel collection.

[0028] Wherein: the specific steps of carrying out interval uniform division of the features used by the automotive component classifier are: during the automotive component classification training, using different dimension feature descriptions for different types of automotive components; offline learning and obtaining the classifier. The dimensional features used to distinguish the automotive components of the classification training, and the frequency statistics of the classifier using the dimensional features; according to the statistical results, the used dimensional features are evenly divided into inter...

Embodiment 2

[0033] It has the same technical solution as that of Embodiment 1, and more specifically: a method for identifying automobile components, which uses the above-mentioned method for collecting multi-region features of automobile components to collect multi-region features for automobile components. The hash tables of Num1 automotive component classifiers are stored in the detection terminal, and the multi-region feature collection data of automotive components is identified by looking up the corresponding hash table, and the corresponding information of the automotive components is provided. If the multi-area feature collection data of an automobile component cannot determine the type of the automobile component by looking up the corresponding hash table, the hash table corresponding to the automobile component does not exist in the hash table of Num1 automobile component classifiers stored in the detection terminal, Send the multi-region feature collection data of the automotive...

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Abstract

A multi-region feature acquisition method for automotive components, which is used to solve the problem of slow feature acquisition and matching of existing automotive components. Evenly divided; when identifying automotive components, the multi-region features of the automotive components to be collected are collected in parallel. Effect: The task disassembly and parallel computing of component feature collection and preliminary detection are realized, thereby improving the speed of component detection.

Description

technical field [0001] The invention belongs to the field of automobile data identification, in particular to a data collection and identification method. Background technique [0002] With the rapid development of wearable device technology, smart glasses are widely used in people's daily life in terms of human-computer interaction and augmented reality. For example, voice control, head posture correction and guiding people to perform professional operations in specific situations, these applications not only facilitate people's daily life but also improve the work efficiency of staff. At present, most of the existing smart glasses have an independent operating system and a variety of sensors, so that they can be extended to many professional fields, such as assisting staff positioning and hazard prediction in tunnels or geological exploration processes, and in warehouses. Classify the items and find the optimal return path. However, the application in car maintenance is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/285G06F18/214
Inventor 田雨农吴子章周秀田于维双陆振波
Owner DALIAN ROILAND SCI & TECH CO LTD