Locker Security System Using Matlab

  • L. R. Karl MarxEmail author
  • R. Pradheep Kumar
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 80)


The project proposed an effective monitoring and controlling system for security locker rooms, homes, bank lockers, jewellery outlets etc., which is completely autonomous. The security system is designed to detect the illegal entrance in the locker room area that commonly happens in the case of robberies. The major concern with the current manually supervised security system is that if the robbery occurs then the banks are not able to identify the robber due to lack of proof. The system will focus on the safety of locker rooms in an effective way by detecting and controlling unauthorized motion. The proposed system will save the images that can be used for further investigation. The proposed security system will detect the motion through PIR sensor and provide security by three different preventing actions as taking photos, alarm signal, spraying chloroform and can send the taken photo, warning e-mail to the owner using MATLAB IOT.


Security system IOT Embedded system 


  1. 1.
    Tejesvi, S.V., et al.: Implementation of embedded based bank security system using knock-out gas. Int. J. Eng. Res. Appl. 6(2), 31–34 (Part-2) (2016 Feb). ISSN: 2248-9622Google Scholar
  2. 2.
    Khera, N., Verma, A.: Development of an intelligent system for bank security. In: 2014 5th International Conference—Confluence the Next Generation Information Technology Summit (Confluence), Noida, pp. 319–322 (2014).
  3. 3.
    Ogri, U., Donatus, B., Etim, A.: Design and construction of door locking security system using GSM. Int. J. Eng. Comput. Sci. 2, 2235–2257 (2013)Google Scholar
  4. 4.
    Shah, S.H., Yaqoob, I.: A survey: internet of things (IOT) technologies, applications and challenges. In: 2016 IEEE Smart Energy Grid Engineering (SEGE), Oshawa, ON, pp. 381–385 (2016).
  5. 5.
    Zuo, F., de With, P.H.N.: Real-time embedded face recognition for smart home. IEEE Trans. Consum. Electron. 51(1), 183–190 (2005 Feb)Google Scholar
  6. 6.
    Dhondge, K., Ayinala, K., Choi, B., Song, S.: Infrared optical wireless communication for smart door locks using smartphones. In: 2016 12th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), Hefei, pp. 251–257 (2016).
  7. 7.
    Baidya, J., Saha, T., Moyashir, R., Palit, R.: Design and implementation of a fingerprint based lock system for shared access. In: 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, pp. 1–6 (2017).
  8. 8.
    Anu, Bhatia, D.: A smart door access system using finger print biometric system. Int. J. Med. Eng. Inf. 6, 274–280 (2014). Scholar
  9. 9.
    Lu, Y.: Industry 4.0: a survey on technologies, applications and open research issues. J. Ind. Inf. Integr. 6 (2017) Scholar
  10. 10.
    Ramani, R., Selvaraju, S., Valarmathy, S., Niranjan, P.: Bank locker security system based on RFID and GSM technology. Int. J. Comput. Appl. 57(18):15–20 (2012 Nov)Google Scholar
  11. 11.
    Cortez, C., Badwal, S.J., Hipolito, R.J., Astillero, J.C.D., Dela Cruz, M.S., Inalao, J.C.: Development of microcontroller-based biometric locker system with short message service. Lecture Notes on Software Engineering, vol. 4, pp. 103–106 (2016). Scholar
  12. 12.
    Adamu, M., Susan, A.A., Ijemaru, G., Oluwatosin, O.B., Habibu, H.: Design of a GSM-based biometric access control system (2014)Google Scholar
  13. 13.
    Gayathri, M., Selvakumari, Brindha, R.: Fingerprint and GSM based security system. Int. J. Eng. Sci. Res. Technol. 3(4). ISSN: 2277-9655 (2014 Apr)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of MechatronicsThiagarajar College of EngineeringThirupparankundramIndia

Personalised recommendations