Intelligent Video Surveillance System for Indian Farms
##plugins.themes.academic_pro.article.main##
Abstract
Security is incredibly significant for farms. Crops may be devastated by the intruders coming to the farm. Besides, because farms are often attacked by the intruders and it is stolen during yield, the farmer is forced to stay and protect the crops. In this paper remote farm monitoring system with video surveillance is described. This system will observe the intruders in the farm and force intruder to leave the farm. The system will also alert farmer regarding weather condition, grass cutting, and crop cutting. The electrical energy is generated by solar to provide sufficient electrical power required to run the system. The main system is fixed on the pole, comprising Raspberry-Pi, Camera, ultrasonic sensors, Humidity sensors, temperature sensors, smoke sensors, Wi-Fi module. The camera takes the frames of intruders, the system will detect the intruder and classify the intruders with time stamp. At the same time the alarm and light will be initiated to scare the intruder. The frames with intruders will be further analyzed for the intruder’s classification and its timing of arrival. The smoke sensor is used to protect the farm from fire, if fire is detected, it turns ON the motor. The information collected by humidity sensors and temperature sensors will alert the farmer regarding weather condition to take precautionary measures. Proposed system is designed for Indian farms and it will be cost effective also.
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Sachin Rambhau Sakhare, Priyanka More, & Ch.Mohan Sai Kumar. (2021). Intelligent Video Surveillance System for Indian Farms. International Journal of Next-Generation Computing, 12(2), 200–208. https://doi.org/10.47164/ijngc.v12i2.194
References
- Chomtip Pornpanomchai, Malinee Homnan, Navarat Pramuksan, Walika Rakyindee, Smart
- Scarecrow", Third International Conference on Measuring Technology and Mechatronics Au-
- tomation,Volume: 3 , 2011, Pages 294{297.
- C. Adrian Martinez, G. Isaza Echeverri, A. G. Castillo Sanz, Malware Detection Based on
- Cloud Computing Integrating Intrusion Ontology Representation," in 2010 IEEE Latin Ameri-
- can Conference on Communications, 2010, pp. 1{6.
- Discant A. Rogozan, C. Rusu and A. Bensrhair, Sensors For Obstacle Detection" 2007 30th
- International Spring Seminar on Electronics Technology (ISSE), Cluj-Napoca, 2007, pp. 100-
- doi: 10.1109/ISSE.2007.4432828.
- Hamoud M. Aldosari, A Proposed Security Layer for the Internet of Things Communication
- Reference Model", Procedia Computer Science, Volume 65, 2015, Pages 95-98, ISSN 1877-0509.
- Hongkun Tian, Tianhai Wang, Yadong Liu, Xi Qiao, Yanzhou Li, Computer vision technol-
- ogy in agricultural automation", A review, Information Processing in Agriculture ,Volume 7,
- Issue 1, 2020, Pages 1-19, ISSN 2214-3173.
- Huajian Liu, Javaan Singh Chahl, A multispectral machine vision system for invertebrate de-
- tection on green leaves", Computers and Electronics in Agriculture, Volume 150, 2018, Pages
- -288, ISSN 0168-1699.
- Ilek Koc-San, Serdar Selim, Nagihan Aslan, Bekir Taner San, Automatic citrus tree extrac-
- tion from UAV images and digital surface models using circular Hough transform", Computers
- and Electronics in Agriculture, Volume 150, 2018, Pages 289-301, ISSN 0168-1699.
- J. Oberheide, E. Cooke, and F. Jahanian, Cloud AV: N-version Antivirus in The Network
- Cloud," in Proceedings of the 17th conference on Security symposium, 2008, pp. 91 106.
- J. John Livingston and A. Umamakeswari Internet of Things Application using IP-enabled
- Sensor Node and Web Server", Indian Journal of Science and Technology , Vol 8(S9), 207-212,
- May 2015.
- Mehrdal Dianati, Insop Song, Mark Treiber, |An Introduction to Genetic Algorithms and Eva-
- lution Stragies" Univ. of Waterloo, Canada.
- Nguyen, T.D., Park, J., Kim, S. et al. "Automatically improving image quality using tensor
- voting", Neural Comput and Applic 20, 1017{1026 (2011).
- O. L. Barakat, S. J. Hashim, R. S. A. Raja Abdullah, A. R. Ramli, F. Hashim, K. Samsudin and
- M. A. Rahman, SCARECROW: Scalable Malware Reporting, Detection and Analysis Malware
- analysis performance enhancement",Journal of Convergence Information Technology(JCIT) Vol-
- ume8, Number14, September 2013.
- S.T. Liu and Y.-M. Chen, Retrospective Detection of Malware Attacks by Cloud Computing,"
- in 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Dis-
- covery, 2010, pp. 510{517.
- S. Shankland, Google: 500 million Android devices activated," 2012. [Online]. Available:
- http://news.cnet.com as google-500-million-android-devicesactivated.
- S Ojha, S Sakhare, Image processing techniques for object tracking in video surveillance-A
- survey", 2015 International Conference on Pervasive Computing (ICPC),pp 1-6.
- Sachin R Sakhare, MS Ali An Adaptive CPU Scheduling for Embedded Operating Systems
- using Genetic Algorithms", International Journal of Advanced Computing (IJCA), Recent Sci-
- ence Publications, Vol 33, Issue 10.
- S Wei, Z Chen, M Li, L Zhuo, An improved method of motion detection based on tempo-
- ral dierence", 2009 International Workshop on Intelligent Systems and Applications, pp 13-16.
- Sachin R Sakhare, MS Ali, An Adaptive Framework for the Selectionof Embedded Operat-
- ing Systems", International Journal of Scientic and Engineering Research Volume 2, Issue 8,
- Auguest-2011 1 ISSN 2229-5518.
- Tung-Jung Chan,Min-Chie Chiu, Ho-Chih Cheng, Long-Jyi Yeh , and WeiChong Haung Se-
- curity System Design in a Crop", IOP Conference Series: Materials Science and Engineering
- (2019) IOP Conf. Ser.: Mater. Sci. Eng.
- Vivek Ghule, Sachin Sakhare Smart organization", 2017 IEEE 7th International Advance Com-
- puting Conference (IACC), pp 826-830.
- V. Boddula, L. Ramaswamy and D. Mishra, "CyanoSense: A Wireless Remote Sensor Sys-
- tem Using Raspberry-Pi and Arduino with Application to Algal Bloom," 2017 IEEE Inter-
- national Conference on AI and Mobile Services (AIMS), Honolulu, HI, 2017, pp. 85-88, doi:
- /AIMS.2017.19.
- Y. Siahaan, B. A. Wardijono and Y. Mukhlis, "Design of birds detector and repellent using
- frequency based arduino uno with android system," 2017 2nd International conferences on In-formation Technology, Information Systems and Electrical Engineering (ICITISEE), Yogyakarta,
- Indonesia, 2017, pp. 239-243, doi: 10.1109/ICITISEE.2017.8285503.
- Zhaoxia Wang, Hanshi Wang, Lizhen Liu, Wei Song and JingLi Lu, "Community alarm system
- design based on MCU and GSM," 2015 4th International Conference on Computer Science and
- Network Technology (ICCSNT), Harbin, 2015, pp. 859-862, doi: 10.1109/ICCSNT.2015.7490876.