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High Resolution Visible Light Capable Automatic Number Plate Recognition Internationalisation (HR-VL)

High Resolution Visible Light Capable Automatic Number Plate Recognition Internationalisation (HR-VL)
高分辨率可见光自动车牌识别国际化 (HR-VL)
批准号:
720595
负责人:
金额:
$29.72万
依托单位:
依托单位国家:
英国
项目类别:
GRD Development of Prototype
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

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中文摘要
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英文摘要
This HD ANPR internationalisation project will develop unique computer vision and digitalIP camera control algorithms together with innovative hardware design to take a UK-basedapproach to ANPR into new international markets. There are a number of major barriers tointernationalisation for current ANPR suppliers, resulting in considerably less than the >95%read accuracy required by the market.Our intention is to develop the technology to provide:• A 4K IP camera solution to give >95% routine accuracy in regions where number plateforms, formats and location on vehicles are not as well regulated as they are in the UK andwhere motif recognition is also required e.g. province/vehicle class/cargo identifiers.• A system operating preferentially in visible light and employing novel LED Beam ShapingIR illumination when visible light is not available.• Coverage of complex lane configurations with fewer cameras enabling bidirectional trafficto be monitored by one camera, particularly in regions where only rear plates are mandatory.• An HD ANPR System specification ("cook-book") and configuration tools to allow easysystem integration from off-the-shelf products by 4Sight-approved region integrators, madepossible by unique HD ANPR software capable of using the latest IP camera technology.• Easy installation by CCTV installers i.e. non ANPR experts.The key benefits are:• Enable a new range of high accuracy surveillance products and services to be created anddeployed by third party vendors e.g. automated car park payment, hazardous materialstracking and location identification.• Reduce the cost of deployment and maintenance.The key deliverable of this Project is the evaluation of the new set of computer vision and IPcamera control algorithms through a series of prototypes that demonstrate the feasibility ofremote product integration and installation via regional integrators and which achieve therequired market leading performance.
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