事故车查勘定损是车险理赔的核心部分,也是车险消费者接触最多的一项车险服务。目前,车险行业整体呈现小额案件频发、查勘定损时效低的现状。针对此现状及小额案件以车辆外观件损伤为主的特征,本文研究了基于深度学习的事故车智能定损技术,详细论述了该项技术的实现方法,分析了该项技术可以应用的业务场景,并给出了下一步研究方向。
<<Loss assessment is the core part of motor insurance claims settlement and is the most frequently used service for insurance customers. At present,the whole motor vehicle insurance industry sees more frequent small-scale claims and loss assessment becomes less effective. This paper studies the loss assessment technology based on deep learning and its application.
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