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Reporting Sleepy Driver into Channel Telegram via Telegram Bot

机译:通过电报机器人将昏昏欲睡的司机报告为频道电报

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Road accident is one of the biggest causes of death. The case is dominated by a sleepy driver. Today, research related to the method of sleepiness detection has been developed. However, the detection accuracy in the previous study need to be improved. Moreover, the detection system only inform the driver itself if the driver is sleepy or drowsy while other person, such as family, or authorities did not receive this information. As a result, if accidents happen peoples would not be noticed. This has an impact on handling post-accident victims. These series could increase the risk and even bring casualties if do not taken care seriously. Therefore, it needs further development to broadcast sleepy driver information to other people such as families, the rescue center and even the highway police department. This study proposed a sleepy driver detection and information notification system implemented on smartphones. The system is capable to transmit personal information of a sleepy driver directly on a Telegram messaging app. It aims to identify a report regarding driver name, car type, and license plate and even current location. The advantage is proficient to evacuate victims as fast as possible if anything suddenly occurs to prevent undesirable situations. Some experiments that have been done prove that a system worthy to transmit information into Channel within Telegram Messenger precisely and obtain an accuracy of 89% using SVM.
机译:道路事故是最大的死因之一。案件由困倦的驱动程序主导。今天,已经开发了与嗜睡检测方法相关的研究。然而,需要改善先前研究中的检测精度。此外,如果驾驶员困扰或昏昏欲睡,检测系统仅向驾驶员本身通知驾驶员本身,例如家庭或当局没有收到此信息。因此,如果发生事故,不会被注意到人民。这对搬运后的受害者进行了影响。如果不认真对待,这些系列可能会增加风险,甚至带来伤亡。因此,它需要进一步发展,将昏昏欲睡的驾驶信息广播到诸如家庭,救援中心甚至公路警察局等其他人。本研究提出了一种在智能手机上实现的困扰驱动程序检测和信息通知系统。该系统能够直接在电报消息传送应用程序上传输困扰者的个人信息。它旨在确定有关驾驶员名称,汽车类型和车牌甚至当前位置的报告。如果任何突然发生以防止不良情况,那么优势就是尽可能快地疏散受害者。已经完成的一些实验证明了一个值得将信息传输到电报信使内的信道中的信息,并使用SVM获得89%的准确度。

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