Development of Animal-Detection System using Modified CNN Algorithm

In the present scenario almost the entire crop cultivation in farmlands are mostly likely to be damaged by intrusion of animals like wild boars, elephants, buffaloes, birds, etc. However this may cause huge loss to the farmers but it is quite impossible to stay alert in the farm field for 24/7 hours to protect the crops. To surmount the above problem, a prototype for animal intrusion detection has been designed using a modified CNN algorithm to efficiently detect the existence of animal intrusion in the crop field. It provides an alert signal to indicate while averting the animal with no injuries. This paper proposes a system that includes a PIR sensor, Thermal Imaging camera, GSM module and hologram connected with the Raspberry Pi module. A Modified CNN algorithm is used to validate the captured animal image and later alert the user. Absolute crop protection is guaranteed from animal trespass thereby protecting the farmer's from huge loss.