Animal Movement Detection along with Differentiation and Alert Processing in Farm Lands
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How to Cite

Agnes, A., and T. Anto Theepak. 2022. “Animal Movement Detection Along With Differentiation and Alert Processing in Farm Lands”. Journal of Innovative Image Processing 4 (2): 79-92. https://doi.org/10.36548/jiip.2022.2.003.

Keywords

  • OpenCV
  • Frame differentiation
  • Video Processing
  • image classifier
  • neural compute stick

Abstract

Every life on land depends on food for living. The source of major availability of food is agriculture. Farmers and agricultural lands are exposed to lot more difficulties currently. One among them is intruders in farm fields. Animal intruders cause a tremendous amount of destruction to crops on field. The proposed system helps in detecting large animal movements using frame differentiation in OpenCV. Motion detection algorithm helps in detecting the movements of animals. OpenCV deals with computer vision operations. Frame differentiation is used to fetch differences between still and movable frames. Working on with Movidius Neural compute stick connected to raspberry Pi which used to fetch the category of animal approaching using image classifier and corresponding actions could be taken on time. Once motion is detected and alert sound is generated and hence the owners could be made aware of happenings. Movidius stick is used to learn artificial intelligence at the edge. Other applications involve, motion detection in military boundaries.

References

Fadhlan,z.,Muhammad,H.,Fadhlan,z.,2019,”IEEE 9th International Conference on System Engineering and Technology”, Hand Gesture Recognition Using Movidius Neural Compute Stick , pp.510-513.

Jong,K.,Milon,MD.,Saifuddin,M.,Redwanul,H.,Xiangxu,L., 2020,”IEEE”,AVision Based Voice Control Indoor Assistant Robot for Visually Impaired People.

Manohar,N.,Nandhitha,D.,2020,”IEEE Proceedings of the International Conference on Intelligent Computing and Control Systems ICICCS”, Classification of Animals using toy images ,CFP20k74-ART,pp.680-683.

Anikt,C.,Harshitha,S.,Prajakta,D.,Renita,R.,2020,”IEEE”,Human Computer Interaction using Hand Gesture and Voice.

Eon,K.,Jung,Y.,Moon,P.,Sung,H.,Won,H.,Woo,L.,Young,K., 2014,”14th International Conference on control, Automation and Systems”, An Intelligent Motion Control of Two wheel Driving Robot Based Voice Recognition,pp.313-315.

Andreas,P.,Michael,S.,2019,”IEEE 5th Experiment International Conference”, Object Detection With Raspberry PI3 and Movidius Neural Network Stick,pp.326-330.

Sandar,W.,Thin,T.,2020,”IEEE”,Real Time Human Motion Detection, Tracking and activity Recognition with Skeletal Model.

Perry,X.,Zhiheng,W.,2019,”10thinternational conference on Information Technology in medicine and education”, Design Of a Voice Control 6DoF grasping robotic arm based on ultrasonic sensor, computer vision and alexa voice assistance,pp.649-654.