The invention relates to the field of intelligent management, and particularly discloses an intelligent management system for mechanical equipment and a method of the intelligent management system. And extracting multi-scale dynamic implicit association feature distribution information based on long and short distance dependency association of each monitoring key frame in the face monitoring video of the driver, and carrying out classification judgment on the distraction driving degree of the driver according to the multi-scale dynamic implicit association feature distribution information. Thus, the analysis state of the driver can be accurately monitored and evaluated in real time, the control system sends out early warning prompt information when abnormity is detected, and the driving safety is ensured.
本申请涉及智能管理领域,其具体地公开了一种用于机械设备的智能化管理系统及其方法,其通过采用基于机器视觉的人工智能监控技术,以提取出驾驶员面部监控视频中的各个监控关键帧的基于长短距离依赖关联的多尺度动态隐含关联特征分布信息,并以此来进行驾驶员分心驾驶程度的分类判断。这样,能够精准地对于驾驶员的分析状态进行实时监测评估,以在检测到异常时控制系统发出预警提示信息,确保行驶的安全性。
Intelligent management system and method for mechanical equipment
用于机械设备的智能化管理系统及其方法
2023-03-28
Patent
Electronic Resource
Chinese
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