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An Efficient Surveillance System to Detect and Prevent Elephant Intrusion in Forest Borders

机译:一种检测和防止森林边界大象侵入的高效监测系统

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Now days the conflict takes place between human and elephant is one of the biggest issue throughout the world. In Tamilnadu the biggest elephant conflict arise in villages available near nilgris, muthumalai, etc. Most of the Asian and African countries has farm land, it gets affected by elephants. The crop land are affected by elephants it is one of the biggest issue throughout the world. There some traditional methods like use of fire crackers, drum beating, construction of elephant barriers, noise-making, fencing etc. are used so far. But these methods are not effective in all the situation to prevent the crop as well as human from elephants. The proposed system is more efficient and accurate than the other systems. The vibration sensor is used to detect the movement of elephant in forest border areas. The elephant is captured through camera. The animal is found out of camera zone it is detected through the sound produced by elephant. The captured image is send to database and the SMS is sent to nearby forest officers, crop field owner and also public people. The SURF algorithm is used to match the captured image with database. Likewise audio finger print algorithm is used to detect the algorithm through voice command. Here ZigBee is used to transmit the SMS to 25 meter around the forest areas.
机译:现在,人类和大象之间发生冲突是世界上最大的问题之一。在Tamilnadu,尼尔格里斯,Muthumalai附近的村庄中最大的大象冲突等等,大多数亚洲和非洲国家都有农场土地,受大象的影响。作物土地受到大象的影响,它是世界上最大的问题之一。到目前为止,还有一些传统方法,如火饼干,鼓击打,象障碍,噪音,围栏等。但这些方法在所有情况下都不有效,以防止作物以及来自大象的人类。所提出的系统比其他系统更有效和准确。振动传感器用于检测森林边界地区大象的运动。大象通过相机捕获。这些动物被发现从相机区域中通过大象产生的声音来检测它。捕获的图像将发送到数据库,短信发送到附近的森林官员,作物田间所有者以及公共人员。 SURF算法用于将捕获的图像与数据库匹配。同样,音频手指打印算法用于通过语音命令检测算法。这里Zigbee用于将SMS传输到林区周围25米。

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