基于深度学习CNN模型的智能识车助手

Intelligent Vehicle Identification Assistant Based on Deep Learning CNN Model

在当今人工智能时代下,车标属于车辆主要标识,但需要能准确的识别,难度就较高,如何利用车标识别技术,来解决当今的智能交通中的诸多问题,是值得思考的。基于深度学习的CNN模型的车标识别方法能提高对车标识别的准确度,将车标当做探测对象,从而提高车标识别的精确性,这样解决了有关车辆辨别问题,深度学习下的车标识别方法可以通过多样化的特征学习,能直接从训练样本集中提炼出特征。

In today's era of artificial intelligence,as an important vehicle logo logo, can accurately identify the high degree of difficulty, can solve the traffic problems existing in intelligent transportation system using logo recognition technology. Vehicle logo recognition method under CNN deep learning model can improve the accuracy of vehicle recognition, the logo as a research object, to improve the accuracy of recognition, so as to solve a series of problems. Vehicle logo recognition method under deep learning through diversified learning, can directly extract the features from the training samples, the logo figure get into the neural network classifier for classification.