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AUTOMATED RAT AND COCKROACH REPELLANT USING HAAR CASCODE ALGORITHM

机译:使用HAAR Cascade算法自动大鼠和蟑螂驱蚊剂

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摘要

Electronic pest repellant has a variation of emitted frequency just to repel a certain kind of pest. According to studies each pest has its own unique range of frequency that has the ability to repel them. Cockroach and Rats are one of the common pests that can be seen inside our home. These pests are carriers of different kinds of bacteria which could spread in our home and cause sickness. In this paper the researchers propose a device that uses image detection and will emit a certain frequency that can eventually repel the pest. For us to determine the specific frequency to be emitted, the range of frequency was gathered in the previous studies. This paper characterizes and verifies which frequency is the most effective. The device itself is a combination of a Raspberry Pi, Camera with night vision and speaker which emits ultrasonic frequency. The Raspberry Pi is programmed using Haar Cascade Algorithm to detect and classify pest for our device. The process of pest detection and device reaction is fast which effectively repels the pest.
机译:电子害虫排斥剂的变化频率只是为了排斥某种害虫。根据研究的说法,每个害虫都有自己独特的频率范围,具有能力排斥它们。蟑螂和老鼠是在我们家中可以看到的常见害虫之一。这些害虫是不同种类细菌的载体,可以在我们家中传播并引起疾病。在本文中,研究人员提出了一种使用图像检测的设备,并将发出一定的频率,最终可能最终排斥害虫。为了我们来确定要发射的特定频率,在先前的研究中聚集了频率范围。本文表征并验证哪些频率最有效。该装置本身是覆盆子PI,相机的组合,夜视和扬声器发射超声波频率。 Raspberry PI使用Haar Cascade算法编程,以检测和对我们的设备进行分类。害虫检测和器件反应的过程快速有效地击退了害虫。

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