Data Extraction in Insurance Photo-Inspections Using Computer Vision

Data Extraction in Insurance Photo-Inspections Using Computer Vision

Recent advances in computer vision and artificial intelligence allow for a better processing of complex information in many fields of human activity. One such field is vehicle expertise and inspection. This paper presents the development of systems for the automatic reading of French and Spanish lic...

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Bibliographic Details
Main Authors: Mateo Gende, Marcos Ortega, Manuel G. Penedo
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Proceedings
Subjects:
computer vision
machine learning
deep learning
license plate
odometer
Online Access:https://www.mdpi.com/2504-3900/54/1/33
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spelling doaj-6215418ef5014e638f4ee9fd499c5f2c2020-11-25T03:57:34ZengMDPI AGProceedings2504-39002020-08-0154333310.3390/proceedings2020054033Data Extraction in Insurance Photo-Inspections Using Computer VisionMateo Gende0Marcos Ortega1Manuel G. Penedo2Department of Computer Science, University of A Coruña, 15071 A Coruña, SpainDepartment of Computer Science, University of A Coruña, 15071 A Coruña, SpainDepartment of Computer Science, University of A Coruña, 15071 A Coruña, SpainRecent advances in computer vision and artificial intelligence allow for a better processing of complex information in many fields of human activity. One such field is vehicle expertise and inspection. This paper presents the development of systems for the automatic reading of French and Spanish license plates, as well as odometer value reading in dashboard photographs. These were trained and validated with real examples of more than 4000 vehicles, while addressing typical problems with irregular data acquisition. The systems proposed have found use in a real environment and are employed as assistance in vehicle appraisal.https://www.mdpi.com/2504-3900/54/1/33computer visionmachine learningdeep learninglicense plateodometer
collection DOAJ
language English
format Article
sources DOAJ
author Mateo Gende
Marcos Ortega
Manuel G. Penedo
spellingShingle Mateo Gende
Marcos Ortega
Manuel G. Penedo
Data Extraction in Insurance Photo-Inspections Using Computer Vision
Proceedings
computer vision
machine learning
deep learning
license plate
odometer
author_facet Mateo Gende
Marcos Ortega
Manuel G. Penedo
author_sort Mateo Gende
title Data Extraction in Insurance Photo-Inspections Using Computer Vision
title_short Data Extraction in Insurance Photo-Inspections Using Computer Vision
title_full Data Extraction in Insurance Photo-Inspections Using Computer Vision
title_fullStr Data Extraction in Insurance Photo-Inspections Using Computer Vision
title_full_unstemmed Data Extraction in Insurance Photo-Inspections Using Computer Vision
title_sort data extraction in insurance photo-inspections using computer vision
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2020-08-01
description Recent advances in computer vision and artificial intelligence allow for a better processing of complex information in many fields of human activity. One such field is vehicle expertise and inspection. This paper presents the development of systems for the automatic reading of French and Spanish license plates, as well as odometer value reading in dashboard photographs. These were trained and validated with real examples of more than 4000 vehicles, while addressing typical problems with irregular data acquisition. The systems proposed have found use in a real environment and are employed as assistance in vehicle appraisal.
topic computer vision
machine learning
deep learning
license plate
odometer
url https://www.mdpi.com/2504-3900/54/1/33
work_keys_str_mv AT mateogende dataextractionininsurancephotoinspectionsusingcomputervision
AT marcosortega dataextractionininsurancephotoinspectionsusingcomputervision
AT manuelgpenedo dataextractionininsurancephotoinspectionsusingcomputervision
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