Image Processing based Protection of Crops from wild animals using Intelligent Surveillance

Surveillance plays a major role in home, hospitals, schools, public places, farmlands etc. It helps us to monitor and prevent theft. To prevent unauthorized peoples, surveillance is important in farmlands. Traditional methods like human itself monitoring the whole field for long time to prevent the animals and it is difficult. So there is a need for specialized detection of animals particularly like include segmentation and object detection process. Main intruders of agriculture are birds and animals, but most of the work is based on human intruders. So, object recognition based intrusion detection is proposed in this work. Already predefined images and features of some animals are stored in image processor. When animal is intruding to the land the camera fixed at various places will capture it and send it to the processor for further processing. Feature extraction and matching of predefined and new image will be done through yolo based regression algorithm after that alarm will be produced and also SMS will be sent to the owner of the land. So this proposed system will really helpful for the agriculture to increase yield.