基于Android设备的普吉岛产品分销业务实时驾驶员困倦警报系统

Amonrat Prasitsupparote, P. Pasitsuparoad, Sirathee Itsarapongpukdee
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引用次数: 0

摘要

产品流通企业的交通事故在长周末或节日期间经常发生。事故的原因通常是由于过度工作或连续长时间工作导致驾驶员疲劳或疲劳。对一些公司来说,事故造成的损失可能高达注册资本的20%。这笔付款严重影响了公司的现金流和账户余额。不幸的是,用于检测或预防困倦的商用设备对中小企业来说过于昂贵。因此,中小企业需要一种低成本、实时、易于使用、易于安装的系统。一款基于安卓智能手机的检测困倦司机的系统应运而生。该应用程序使用ML Kit的面部检测API来评估昏昏欲睡的司机,并通过Line Notify API发送消息。结果表明,该应用程序可以区分正常和困倦的司机,并向司机和经理发送警报。此外,该应用程序对低FPS智能手机的容忍度低至3 FPS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Driver Drowsiness Alert System for Product Distribution Businesses in Phuket Using Android Devices
Road accidents in product distribution businesses frequently occur during long weekends or festival periods. The cause of accidents usually comes from tired or fatigue drivers due to overwork or continuous long work. For some companies, the accident can cost up to 20% of the registered capital. This payment heavily affects the company's cash flow a nd account balance. Unfortunately, commercial devices for drowsiness detection or prevention are too expensive for SMEs. Therefore, SMEs required a low-cost, real-time, easy-to-use, and easy to install system. An Android smartphone based system to detect drowsy drivers was created. The application evaluates the drowsy drivers using ML Kit's face detection API and sends a message through Line Notify API. The results showed that the application can differentiate between normal and drowsy drivers as well as send an alarm to the drivers and manager. Moreover, the application is tolerated to the low FPS smartphone down to 3 FPS.
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