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Drunk Driving Detection

机译:酒后驾驶检测

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Drunk driving accidents have increased day by day and has become a big issue. On an average nearly 29% of road accidents are caused due to drunk driving. To avoid such accidents, precautionary measures using different technologies are taken. Drunk driving detection is process of detecting whether a person is drunk or not. It uses data provided by sensors and camera to detect whether the person is drunk or not. The data is further processed using specific algorithm and methods to detect whether person is drunk or not. It uses various detection methods like Iris recognition using Gabor filter, Neural network using face images, detection using speech, Non-invasive Biological sensors, detection using Driving pattern and Engine locking system.
机译:酒后驾驶事故日益增加,已成为一个大问题。平均而言,近29%的道路交通事故是由酒后驾车引起的。为了避免这种事故,采取了使用不同技术的预防措施。酒后驾驶检测是检测人是否醉酒的过程。它使用传感器和摄像头提供的数据来检测人是否喝醉。使用特定算法和方法对数据进行进一步处理,以检测人是否醉酒。它使用多种检测方法,例如使用Gabor滤波器的虹膜识别,使用面部图像的神经网络,使用语音的检测,无创生物传感器,使用驾驶模式和引擎锁定系统的检测。

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