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Design of an Animal Detection System for Motor Vehicle Drivers

机译:机动车司机动物检测系统的设计

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Wildlife-vehicle accidents result in substantial personal, environmental and economic losses, including human injuries, fatalities, loss of wildlife, and vehicle damage. When driving on the highway wild and domestic animals pause dangers to road users. In most cases when the drivers notice an animal on their path, it will be too late to stop the vehicle in time to avoid an accident. This has prompted research into possible ways of developing an animal detection system that gives warning to the drivers and thus enabling them to take precautionary measures. This research is therefore aimed at developing an animal detection system that warns drivers of a possible collision with an animal. Research was carried out using various methods including looking at Literature on ultrasound hooting frequency, and other available warning systems. Questionnaires were also used to gather information from drivers on their experiences and needs to develop the safety measures. Experiments were carried out using Arduino UNO R3 to illustrate the image visibility on an infrared camera and the effect of infrared illumination on the camera system. Calculations were done to achieve the desired number of Infrared LEDs to be used on the camera. An ultrasound circuit and entire system circuitry was developed and simulated using proteus 8 professional to achieve the preferred response mechanism for the system. The system therefore can capture an image of the animal and retrieve its similarity from the animal system database. The results provide a developed animal detection and warning system that can be used by motorist any time of the day while driving.
机译:野生动物车辆事故导致了大量的个人,环境和经济损失,包括人类伤害,死亡,野生动物丧失以及车辆损坏。在野生和家畜在公路驾驶时暂停对道路使用者的危险。在大多数情况下,当司机在他们的道路上通知动物时,可以及时停止车辆,以避免意外。这促使研究开发动物检测系统的可能方法,该系统向司机提供警告,从而使他们能够采取预防措施。因此,该研究旨在开发一种动物检测系统,警告可能与动物碰撞的驱动器。使用各种方法进行了研究,包括在超声波频率和其他可用警告系统上查看文献。调查问卷也用于收集司机的信息,以了解他们的经验,需要制定安全措施。使用Arduino Uno R3进行实验,以说明红外相机上的图像可见度以及红外照明对相机系统的影响。完成计算以实现在相机上使用的所需的红外LED。使用Proteus 8专业开发和模拟超声波电路和整个系统电路,以实现系统的首选响应机制。因此,系统可以捕获动物的图像并从动物系统数据库中检索其相似度。结果提供了一种发达的动物检测和警告系统,可以在驾驶时的一天中的任何时间都可以被驾驶者使用。

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