Cover page and Table of Contents: PDF (size: 1078KB)
Full Text (PDF, 1078KB), PP.23-37
Views: 0 Downloads: 0
Passive Infrared Sensor (PIR), ARM-11, Raspberry Pi-3, Webcam, DC motor
In today’s world, security has become the most difficult task. With increasing urbanization and the growth of big cities, the crime graph is also on the rise. In order to ensure the security and safety of our home while we are away, we propose the use of Raspberry Pi to implement an IOT-based burglar detection and alert system. IoT involves the improvement of networks to efficiently acquire and inspect statistics from different sensors and actuators, then send the statistics via Wi-Fi connection to a personal smartphone or laptop. The concept of antitheft devices has been around for decades, but most are only CCTVs, IP cameras, or magnetic doorbells. There is a limited amount of work devoted to face recognition and weapon detection. The design of anti-theft protection devices relies primarily on face recognition and remote tracking. Here, our objective is to improve this system by incorporating weapon detection feature by image processing. The system uses Raspberry Pi, in which a person is only permitted access to the house if his/her face is recognized by the proposed system, and if he/she does not carry any weapons. From the standpoint of security, this system is more reliable and efficient. The proposed system is intended to develop a secure access control application based on face recognition along with weapon detection. By using the Telegram app, the proprietor can monitor the digital camera mounted on the door frame. As a means of improving the accuracy and efficiency of our system, we use the Python language and the Open CV library.
Sahana V, Shashidhar R, Bindushree R, Chandana A N, "IOT Based Burglar Detection and Alarming System Using Raspberry Pi", International Journal of Engineering and Manufacturing (IJEM), Vol.13, No.6, pp. 23-37, 2023. DOI:10.5815/ijem.2023.06.03
K. Gupta, N. Jiwani, M. H. Uddin Sharif, M. A. Mohammed and N. Afreen, "Smart Door Locking System Using IoT," 2022 International Conference on Advances in Computing, Communication and Materials (ICACCM), Dehradun, India, 2022, pp. 1-4, doi: 10.1109/ICACCM56405.2022.10009534.
A. B. P. ,. A. M. ,. D. N. G. Akash Kumar. K. S, "Weapon Detection in Surveillance System," IJERT, 2021.
Francisco Pérez-Hernández, Siham Tabik, Alberto Lamas, Roberto Olmos, Hamido Fujita and Francisco Herrera, "Object Detection Binary Classifiers methodology based on deep," ELSEVIER, 2020.
Sushma.N.Nichal, Prof.J.K.Singh, “Raspberry pi Based Smart Supervisor using Internet of Things (IoT)”,International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 4, Issue 7, July 2015, ISSN: 2278 – 909X.
Dr. S. Kanaga suba raja, c. Viswanathan, dr. D. Sivakumar, m.vivekanandan, “Secured Smart Home Energy Monitoring System (SSHEMS) using raspberry pi”, 10th august 2014. Vol. 66 no.1 issn: 1992-8645
K Saravana Kumar, Jestin Thomas, Jose Alex, Raag Malhotra, “Surveillance System Based On Raspberry Pi for Monitoring a Location Through A Mobile Device”, International Journal of Advanced Multidisciplinary Research 2(3): (2015): 103–108 ISSN: 2393-8870
Ms. RenukaChuimurkar, Prof. Vijay Bagdi, “Smart Surveillance Security &Monitoring System Using Raspberry PI and PIR Sensor”, International Journal of Scientific Engineering and Applied Science (IJSEAS) – Volume-2, Issue-1, January 2016 ISSN: 2395-3470.
Dhadiwal Kalpesh Paraskumar, Abhishek Pandey, Dharmendra Kumar, Pankaj Kumar, DeepaliJavale, “Home Security System”, International Journal of Inventive Engineering and Sciences (IJIES), Volume-2 Issue-12, November 2014 ISSN: 2319–9598
R.Chandana, Dr.S.A.K.Jilani, Mr.S.Javeed Hussain, “Smart Surveillance System using Thing Speak and Raspberry Pi”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 7, July 2015 ISSN (Online) 2278-1021 ISSN (Print) 2319-5940
May, Z. B. (2012, November). “Real-time alert system for home surveillance”, in 2012 IEEE International Conference on Control System, Computing and Engineering (pp. 501-505). IEEE. https://doi.org/10.1109/ICCSCE.2012.6487197
Md. Nasimuzzaman Chowdhury, Md. ShibleeNooman, SrijonSarke, “ Access Control of Door and Home Security by Raspberry Pi Through Internet”, International Journal of Scientific & Engineering Research, Volume 4, Issue 11,November-2013 ISSN 2229-5518
Khushbu H Mehta, Niti P Gupta, “Vision Based – Real Time Monitoring Security System for Smart Home”, Vision Based – Real Time Monitoring Security System for Smart Home, Vol. 4, Issue 2, February 2016 ISSN(Online): 2320-9801 ISSN (Print): 2320-9798
Visakha, K., & Prakash, S. S. (2018, July). “Detection and Tracking of Human Beings in a Video Using Haar Classifier”. In 2018 International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 1-4). IEEE. https://doi.org/10.1109/ICIRCA.2018.8597322.
Zhang Y, Xu L, Zhang Y. Research on hierarchical pedestrian detection based on SVM classifier with improved kernel function. Measurement and Control. 2022;55(9-10):1088-1096. doi:10.1177/00202940221110164
M. Nandhini, M.Mohamed Rabik, Kiran Kumar, Ashish Brahma, “Iot Based Smart Home Security System with Face Recognition and Weapon Detection using Computer Vision”. International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075 (Online), Volume-10 Issue-1, November 2020.
T. Sultana and K. A. Wahid, "IoT-Guard: Event-Driven Fog-Based Video Surveillance System for Real-Time Security Management," in IEEE Access, vol. 7, pp. 134881-134894, 2019, doi: 10.1109/ACCESS.2019.2941978.
K. Yu et al., "Design and Performance Evaluation of an AI-Based W-Band Suspicious Object Detection System for Moving Persons in the IoT Paradigm," in IEEE Access, vol. 8, pp. 81378-81393, 2020, doi: 10.1109/ACCESS.2020.2991225.
A. Singh, T. Anand, S. Sharma and P. Singh, "IoT Based Weapons Detection System for Surveillance and Security Using YOLOV4," 2021 6th International Conference on Communication and Electronics Systems (ICCES), Coimbatre, India, 2021, pp. 488-493, doi: 10.1109/ICCES51350.2021.9489224.
Jahnavi, S., & Nandini, C. (2019, March). Smart Anti-Theft Door Locking System. In 2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) (pp. 205-208). IEEE
Liu, Z., Wang, M., Qi, S., & Yang, C. (2019). Study on the anti-theft technology of museum cultural relics based on Internet of Things. IEEE Access, 7, 111387-111395.
A. Pawar and V. M. Umale, "Internet of Things Based Home Security Using Raspberry Pi," 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), Pune, India, 2018, pp. 1-6, doi: 10.1109/ICCUBEA.2018.8697345.
R. Yu, X. Zhang and M. Zhang, "Smart Home Security Analysis System Based on The Internet of Things," 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), Nanchang, China, 2021, pp. 596-599, doi: 10.1109/ICBAIE52039.2021.9389849.
V. Patchava, H. B. Kandala and P. R. Babu, "A Smart Home Automation technique with Raspberry Pi using IoT," 2015 International Conference on Smart Sensors and Systems (IC-SSS), Bangalore, India, 2015, pp. 1-4, doi: 10.1109/SMARTSENS.2015.7873584.
D. Yang, Abeer Alsadoon, P.W.C. Prasad, A.K. Singh, A. Elchouemi, “An Emotion Recognition Model Based on Facial Recognition in Virtual Learning Environment”, Procedia Computer Science, Vol. 125, pp.2-10, 2018.
N. Kazanskiy, V. Protsenko, P. Serafimovich, “Performance analysis of real-time face detection system based on stream data mining frameworks”, Procedia Engineering, Vol. 201, pp. 806-816, 20
Ratnawati Ibrahim, "Study of Automated Face Recognition System for Office Door Access Control Application", IEEE 2011
Fan X., Zhang F., Wang H., Lu X., “The System of Face Detection Based on OpenCV”, IEEE Control and Decision Conference (CCDC), 2012 24th Chinese,648- 651, 2012.
R. Lienhart, J. Maydt, “An extended set of Haar-like features for rapid object detection”, Vol. 46 Issue 3, pp. 518– 545. Dec. 2004.
Archana, T., Venugopal, T., & Kumar, M. P. (2015, January). Multiple face detection in color images. In Signal Processing and Communication Engineering Systems (SPACES), 2015 International Conference on (pp. 82-85). IEEE.
Jose, A. C., & Malekian, R. (2017). Improving smart home security: Integrating logical sensing into smart home. IEEE Sensors Journal, 17(13), 4269-4286.
Patchava, V., Kandala, H. B., & Babu, P. R. (2015, December). A smart home automation technique with raspberry pi using iot. In 2015 International conference on smart sensors and systems (IC-SSS) (pp. 1-4). IEEE.
Thamoethata, K., Isong, B., Dladlu, N., & Abu-Mahfouz, A. M. (2021, November). Analysis of IoT-based vehicle anti-theft security. In 2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC) (pp. 1-6). IEEE.
Fazil, P. M., Prasad, N., Ranjitha, B., & Nair, S. S. (2020). Anti-Theft Security System with Image Feedback using Raspberry PI and IoT. i-Manager's Journal on Electronics Engineering, 10(3), 8.
Anvekar, R. G., & Banakar, R. M. (2017, April). IoT application development: Home security system. In 2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) (pp. 68-72). IEEE.
Harikrishnan G.R., Noufal V.P., Latheesh S., “Third Eye -An Ef ficient Home Security Automation System”, International JournalComputer Applications (0975 – 8887) Volume 117 – No. 17, May 2015
Yogita Vijay Narkhede, S. G. Khadke, “Application of Raspberry Pi and PIR Sensor for Monitoring of Smart Surveillance System”, International Journal of Science and Research (IJSR), Volume 5 Issue 2, February 2016 ISSN (Online): 2319-7064
ShivprasadTavagad, ShivaniBhosale, Ajit Prakash Singh, Deepak Kumar, “Survey Paper on Smart Surveillance System”, International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue: 02 | Feb-2016 e-ISSN: 2395 -0056, pISSN: 2395-0072
Sowmiya. U, ShafiqMansoor.J., “Raspberry Pi based home door security through 3g dongle”, International Journal of Engineering Research and General Science Volume 3, Issue 2, March-April, 2015, ISSN 2091-2730