Abstract
In the past, securing valuables in our home/office has been a big chore. There is a high probability of any theft during our absence. When such incidents take place, it is often the case that we seek the help of the police and even sometimes we are unable to recover our belongings. One of the most effective ways to address this issue is to inform the homeowner of any burglary. The homeowners can safeguard their valuables if such information is available in time. The purpose of this work is to inform the home owner about any such untoward incident occurs. That is when their secret locker is broken or when any next person tries to look at it, then our proposed solution will intimate the homeowner with relevant information. IoT-based heist detector is to build a smart security system that could be accommodated by all level of peoples by means of cost, low power consumption, and easy implementation. This work covers both hardware (Raspberry Pi) and software parts. The hardware part includes GSM module, camera module, magnetic switch, etc. The proposed solution is connected with an android application (telegram) that helps to receive the captured image and short message service on the incident. So that homeowner can take decision accordingly. The GSM module in the proposed system sends messages and calls to the various mobile numbers as provided by the admin so that there could be very less chances to miss the calls or messages. Since most of the theft could be happening at midnight, most of the people’s phone would be in silent/do not disturb mode so that the system enable us to set such timings, and it automatically rings when it receives call from the GSM. Many security systems have been developed to monitor and secure our property but some of them have very complicated connectivity and their implementation cost is high. This system starts working when the connection between the sensors mounted on the door is disconnected. The test results shows that the proposed IoT-based real-time system outperforms the existing security system in terms of cost, performance, and its unique features.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
N. Majgaonkar, R. Hodekar, P. Bandagale, Automatic door locking system. Int. J. Eng. Dev. Res. 4(1), 495–499 (2013)
A. Mishra, S. Sharma, S. Dubey, S.K. Dubey, Password based security lock system. Int. J. Adv. Technol. Eng. Sci. 2(5), 100–103 (2011)
L. Kamelia, S.R. Alfin Noorhassan, M. Sanjaya, W.S., E. Mulyana, Door-automation system using Bluetooth-based android for mobile phone. ARPN J. Eng. Appl. Sci. 9(10) (2014)
A. Mondal, S. Saha, S. Dey, S. Bhattacharya, S. Kundu, S. Nath, R. Islam, M. Banik, Bluetooth controlled security alarm system. Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET) 7(V), 1–8 (2015)
D.B.S. Fernando, A.B. Srivarsha, K. Pirathisha, K. Rubiya, Face recognition for home security. Int. J. Comput. Sci. Eng. (SSRG-IJCSE) 6(10), 7–12 (2019)
A. Arun Rajaa, R. Naveedhab, G. Niranjanadevic, V. Roobinid, An internet of things (IoT) based security alert system using Raspberry Pi. Asia Pac. Int. J. Eng. Sci. 02(01), 37–41 (2016)
A.V. Patil, Android based smart door locking system. Int. J. Eng. Res. Technol. (IJERT) 6(13), 1–4 (2018)
D. Mukhopadhyay, M. Gupta, T. Attar, P. Chavan, V. Patel, An attempt to develop an IoT based vehicle security system, in 2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), pp. 195–198 (2018)
R. Senthilkumar, Vigneshram, Sudharsanbabu, Priyadharsan, Android based home automation and vision surveillance using Raspberry Pi. Int. J. Comput. Sci. Eng. (IJCSE) 4(2), 29–38 (2015)
M.H.A. Sohag, M.A. Ahamed, Smart home security system based on microcontroller using internet and android smartphone, in International Conference on Materials, Electronics and Information Engineering, ICMEIE-2015 (2015)
F.A. Sabu, IoT based ATM surveillance system using deep learning. Int. J. Future Gener. Commun. Netw. 13(3), 1869–1876 (2020)
P. Joshi, A. Patel, P. Jaiswal, S. Bajpai, S. Rasal, Smart secure safe box using IoT. Int. J. Innov. Res. Technol. 5(11), 733–735 (2019)
Ohsung, Gyeongsan, Gamasil, A digital door lock system for the internet of things with improved security and usability. Int. J. Secur. Appl. 9(8), 45–54 (2015)
U. Sirisha, D. PoojaSri, N. Gayathri, K. Heshma, G. Raja Sekhar, IoT based anti-theft detection and alerting system using Raspberry Pi. Int. Res. J. Eng. Technol. (IRJET) 07(3), 1650–1655 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Abinaya, R., Tharani, S., Arunachalam, A.S., Suthendran, K. (2022). HEIST DETECTOR: A Secured IOT-Based Real-Time System. In: Peter, J.D., Fernandes, S.L., Alavi, A.H. (eds) Disruptive Technologies for Big Data and Cloud Applications. Lecture Notes in Electrical Engineering, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-19-2177-3_45
Download citation
DOI: https://doi.org/10.1007/978-981-19-2177-3_45
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-2176-6
Online ISBN: 978-981-19-2177-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)