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

Abstract

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.