Ajit Shete,
Anushri Kulkarni,
Siddhesh Desai,
Shubham Bhujbal,
- Student, Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra, India
- Assistant Professor, Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra, India
Abstract
The paper delivers a defense security shield, which is an innovative system aimed at enhancing military border security through the implementation of cutting-edge technology. Leveraging the capabilities of Raspberry Pi 4B, a camera module, servo motor, and buzzer, this system operates as an automatic aiming gun, designed to detect and respond to potential threats. The core functionality is driven by sophisticated person detection algorithms, ensuring accurate identification, and tracking of individuals within the monitored area. The system offers two operational modes: automatic and manual, providing flexibility in deployment and operation. In automatic mode, the system autonomously detects and tracks potential threats, while in manual mode, it allows for human intervention and control. This project system represents a significant advancement in border security technology, offering improved surveillance and response capabilities to military personnel. The integration of Raspberry Pi 4B and advanced algorithms enables efficient and reliable operation, contributing to enhanced situational awareness and protection of national borders.
Keywords: Raspberry Pi 4B, surveillance, threat detection, person detection algorithms, automatic aiming gun
[This article belongs to Research & Reviews: A Journal of Embedded System & Applications ]
Ajit Shete, Anushri Kulkarni, Siddhesh Desai, Shubham Bhujbal. Defense Security Shield for Military Application. Research & Reviews: A Journal of Embedded System & Applications. 2024; 12(03):14-24.
Ajit Shete, Anushri Kulkarni, Siddhesh Desai, Shubham Bhujbal. Defense Security Shield for Military Application. Research & Reviews: A Journal of Embedded System & Applications. 2024; 12(03):14-24. Available from: https://journals.stmjournals.com/rrjoesa/article=2024/view=172081
References
- Sai TV, Aditya B, Reddy AM, Srinivasulu DY. Real time object detection using raspberry pi. Int J Res Appl Sci Eng Technol. 2023;11:834–8. DOI: 10.22214/ijraset.2023.48549.
- Ikpeze O, Ejidokun T, Onibonoje M. Smartphone control mobile robot for education and research. J Robotics. 2022;1–10. DOI: 10.1155/2022/5178629.
- Dong X, Dukes X, Littleton J, Neville T, Rollerson C, Quinney A. Object detection on raspberry pi. 2022 ASEE Gulf Southwest Annual Conference, Prairie View, Texas. 2022, March. DOI: 10.18260/1-2–39192.
- Karim MZ, Thamrin NM. Servo motor controller using PID and graphical user interface on Raspberry Pi for robotic arm. J Phys Conf Ser. 2022;2319(1):012015.
- Kodidasu Avinash NS, Chaitanya CHNSK, Vepakayala Koti Sai Aravind. RC surveillance car using Raspberry Pi 3 along with smartphone controller by Wi-Fi and Bluetooth technologies. J Emerg Technol Innov Res. 2021;8:915–20.
- Panchangam H. Robotic arm using IOT and Raspberry Pi. IJCRT. 2020;8:2344–56.
- Bandari Theja, Jhon Wesley. Advance object detection-interface. J Emerg Technol Innov Res. 2019;6:127–36.
- Sustek M, Marcanik M, Tomasek P, Urednicek Z. DC motors and servo-motors controlled by Raspberry Pi 2B. 21st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017). MATEC Web Conf. 2017;125:02025. DOI: 10.1051/matecconf/201712502025.
- Rao KRRM, Kanneganti ST, Rohith CV, Somepalli CT, Kantamneni RT. Web page controlled robotic arm using Raspberry Pi. Int J Comput Syst. 2015;2:411–5.
- Siagian P, Shinoda K. Web based monitoring and control of robotic arm using Raspberry Pi. In: 2015 International Conference on Science in Information Technology (ICSITech); 2015. p. 192–6. DOI: 10.1109/ICSITech.2015.7407802.
Research & Reviews: A Journal of Embedded System & Applications
Volume | 12 |
Issue | 03 |
Received | 03/07/2024 |
Accepted | 04/09/2024 |
Published | 04/09/2024 |