PRE CHASM RESEARCH LTD - MyTyreManager - a Mass Market Smart Phone Tyre Tread Technology Using Novel Active Machine Learning
PRE CHASM RESEARCH LTD - MyTyreManager - a Mass Market Smart Phone Tyre Tread Technology Using Novel Active Machine Learning
批准号:
710478
负责人:
金额:
$12.39万
依托单位国家:
英国
项目类别:
GRD Proof of Concept
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
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英文摘要
This project aims to allow machines instead of people to make complex decisions abouttyrewear, building on a successfully completed TSB ICT Technical Feasibility project (FileRef 131363).That feasibility study stated that current 3d scanners are expensive (>£1000) and not fit foruse by law enforcers, or consumers (car owner/drivers). We showed that manual methods areopen to misinterpretation and are often ignored. We demonstrated that it was possible toembed intelligent machine learning and novel algorithms into a Smart Phone for tyre-wearimage analysis, allowing for the first time, a Smart Phone-based 'machine' to make complexdecisions about the road-worthiness of tyres on vehicles.This project seeks to progress that technology to Proof of Concept stage, targeting thedevelopment of a consumer 'App' and platform architecture to enable car owners to managetheir tyre wear, and condition, on an on-going basis using their Smart Phone. This will enableusers to alter their driving style to optimise tyre longevity, and maximise safety.Other interested parties (like insurers) could analyse that data.Challenges to address include, optimisation of feature vector algorithms across a range ofSmart-Phones, characterise tyre differences and impact on machine vision, learning andaccuracy, realtime cloud integration, influence of weather, and optimisation of acquisitionspeed.Significance: 2011-2020 is the United Nations Decade of Action for Road Safety(UN).Worldwide road accidents kill 1.3million. Increasing 30%/yr. 45% linked to tyre wear.According to TyreSafe in UK alone 4.4m cars have at least 1 illegal tyre. The problem isenormous. The serviceable market is equally large therefore. One measure could be tyres soldvs smart phone users worldwide, suggesting a serviceable market in excess of 500m users.This is an opportunity for wide adoption of patented machine learning at the consumer ‘App’level and a chance to positively impact road safety.
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