Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
The license plate recognition (LPR) is an important technology of traffic data collecting in intelligent traffic system.
车辆牌照识别技术是智能交通系统中采集交通数据的重要技术手段。
Intelligent Transportation system emerges in this condition, and the key technology of this system is License Plate Recognition system (LPRS).
智能交通系统在这种背景下应运而生，而智能交通系统的关键技术便是车牌识别系统。
In this paper, we explore and research intelligent video surveillance system with the relevant technology, focus on the object recognition and face matching in intelligent video surveillance system.
本文对智能视频监控的相关技术进行了探索和研究，重点对于视频监控中的目标识别和人脸匹配进行了研究和探讨。
Real-time and robust road recognition is a key technology in intelligent vehicle research, and plays an important role in vehicle autonomous navigation.
实时、可靠的道路识别是智能车辆研究的一个关键技术，在车辆自主导航中起着重要的作用。
The technology of vehicle detection and license plate recognition are important parts of intelligent transportation system and hot research focus in image processing field.
车辆检测及牌照的识别技术是智能交通系统的重要组成部分，也是计算机视觉和图像处理领域研究的热点。
Intelligent and self-help service system based on currency recognition is a new high-tech product which regards intelligent information processing technology as core of it.
基于货币识别的智能自助服务系统是以智能信息处理技术为核心、机电一体化技术为基础、计算机网络应用技术为背景的高新技术产品。
Automatic infrared target recognition is a senior intelligent image processing technology focused by domestic and overseas military departments.
红外自动目标识别技术是一项难度较大、国内外军事部门高度重视的高级智能化图像处理技术。
In order to overcome the disadvantages of single model for wear pattern recognition of engine, a multi-intelligent model based on the data fusion technology was proposed.
针对单一的智能模型在发动机磨损模式识别中的局限性，提出了一种基于数据融合技术的多模型磨损模式识别方法。
In order to overcome the disadvantages of single model for wear pattern recognition of engine, a multi-intelligent model based on the data fusion technology was proposed.
针对单一的智能模型在发动机磨损模式识别中的局限性，提出了一种基于数据融合技术的多模型磨损模式识别方法。
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