A Multimodal Approach to Enhancing Automobile Security
The continuous increase in use of the automobiles has resulted in increase in vehicular traffic and social vices such as theft, thus necessitating efforts for improving automobile security. As a result of this, various solutions such as satellite monitoring and General Packet Radio Services have bee...
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Veröffentlicht in: | International journal of computer vision and image processing 2019-04, Vol.9 (2), p.32-47 |
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container_title | International journal of computer vision and image processing |
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creator | Okegbile, Samuel Dayo Aina, Segun Akinmodun, Sanmi Oluwaranti, Adeniran Ishola Lawal, Aderonke Rasheedat |
description | The continuous increase in use of the automobiles has resulted in increase in vehicular traffic and social vices such as theft, thus necessitating efforts for improving automobile security. As a result of this, various solutions such as satellite monitoring and General Packet Radio Services have been adopted to track vehicle locations over time. This article combines the uniqueness of an automobile plate number and the face(s) of an authorized vehicle driver to enhance the automobile security system, hence eliminating the inefficiency of the existing tag system while reducing the cases of unauthorized automobile use and outright theft. A weighted score approach was used in evaluating the efficiency of the character recognition subsystem with an accuracy of 89.3% recorded. The face recognition subsystem also achieved reliable genuine and an imposter attempt at 0.0 confidence level. The designed system ensured security of an automobile through the combination of a plate number and image recognition, thereby preventing an unauthorized driver from taking a vehicle out of a controlled area. |
doi_str_mv | 10.4018/IJCVIP.2019040103 |
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As a result of this, various solutions such as satellite monitoring and General Packet Radio Services have been adopted to track vehicle locations over time. This article combines the uniqueness of an automobile plate number and the face(s) of an authorized vehicle driver to enhance the automobile security system, hence eliminating the inefficiency of the existing tag system while reducing the cases of unauthorized automobile use and outright theft. A weighted score approach was used in evaluating the efficiency of the character recognition subsystem with an accuracy of 89.3% recorded. The face recognition subsystem also achieved reliable genuine and an imposter attempt at 0.0 confidence level. 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The designed system ensured security of an automobile through the combination of a plate number and image recognition, thereby preventing an unauthorized driver from taking a vehicle out of a controlled area.</description><subject>Automobiles</subject><subject>Biometry</subject><subject>Character recognition</subject><subject>Confidence intervals</subject><subject>Face recognition</subject><subject>Safety and security measures</subject><subject>Satellite tracking</subject><subject>Security management</subject><subject>Security systems</subject><subject>Subsystems</subject><subject>Theft</subject><issn>2155-6997</issn><issn>2155-6989</issn><issn>2155-6997</issn><issn>2155-6989</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kE1PwzAMhiMEEtPYD-BWiSsdcZsm7bGaxhgaAomPa5SmaZepa0aTHvbvSVWmccEH27Jev7YehG4BzwmG9GH9vPhav80jDBn2AxxfoEkESRLSLGOXf_prNLN2h30kJAUWTxDNg5e-cXpvStEE-eHQGSG3gTPBst2KVuq2DvLemb0pdKOCdyX7TrvjDbqqRGPV7LdO0efj8mPxFG5eV-tFvgklMIAQaEVYAgkWQqUqKoWQZSnY0LMskpSlggHFWVEVSsQFoQWkBMeVUkwCxjSeorvR1__13Svr-M70XetP8iiLIaU0oeBV96OqFo3iRW91q6xPVtdbZ2vRW8tzlngAESGDKYxy2RlrO1XxQ6f3ojtywHwAykeg_AzU76zGHV3r8w8ncPwEjjvDB3D_GmXxD6B-fyA</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Okegbile, Samuel Dayo</creator><creator>Aina, Segun</creator><creator>Akinmodun, Sanmi</creator><creator>Oluwaranti, Adeniran Ishola</creator><creator>Lawal, Aderonke Rasheedat</creator><general>IGI Global</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0003-3714-3534</orcidid></search><sort><creationdate>20190401</creationdate><title>A Multimodal Approach to Enhancing Automobile Security</title><author>Okegbile, Samuel Dayo ; Aina, Segun ; Akinmodun, Sanmi ; Oluwaranti, Adeniran Ishola ; Lawal, Aderonke Rasheedat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1711-16f475150aae8e2daacdda7e8e2792c678a71609bfbea3b46b18403fee7c10063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Automobiles</topic><topic>Biometry</topic><topic>Character recognition</topic><topic>Confidence intervals</topic><topic>Face recognition</topic><topic>Safety and security measures</topic><topic>Satellite tracking</topic><topic>Security management</topic><topic>Security systems</topic><topic>Subsystems</topic><topic>Theft</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Okegbile, Samuel Dayo</creatorcontrib><creatorcontrib>Aina, Segun</creatorcontrib><creatorcontrib>Akinmodun, Sanmi</creatorcontrib><creatorcontrib>Oluwaranti, Adeniran Ishola</creatorcontrib><creatorcontrib>Lawal, Aderonke Rasheedat</creatorcontrib><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>International journal of computer vision and image processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Okegbile, Samuel Dayo</au><au>Aina, Segun</au><au>Akinmodun, Sanmi</au><au>Oluwaranti, Adeniran Ishola</au><au>Lawal, Aderonke Rasheedat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multimodal Approach to Enhancing Automobile Security</atitle><jtitle>International journal of computer vision and image processing</jtitle><date>2019-04-01</date><risdate>2019</risdate><volume>9</volume><issue>2</issue><spage>32</spage><epage>47</epage><pages>32-47</pages><issn>2155-6997</issn><issn>2155-6989</issn><eissn>2155-6997</eissn><eissn>2155-6989</eissn><abstract>The continuous increase in use of the automobiles has resulted in increase in vehicular traffic and social vices such as theft, thus necessitating efforts for improving automobile security. 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subjects | Automobiles Biometry Character recognition Confidence intervals Face recognition Safety and security measures Satellite tracking Security management Security systems Subsystems Theft |
title | A Multimodal Approach to Enhancing Automobile Security |
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