The Design Of Perimeter Intrusion Detection System (PIDS) Surveillance Alarm Using USB Webcam And Artificial Intelligence Based On Web And Telegram Bot At Medan Aviation Polytechnic

  • Zhafirah Rizki Fadilah Lbs Polytechnic Aviation Medan, Medan, North Sumatera
  • Tiara Sylvia Polytechnic Aviation Medan, Medan, North Sumatera
  • Darmeli Nasution Universitas Pembangunan Panca Budi, Medan, North Sumatera
Keywords: USB Webcam, Telegram, Web, Artificial Intelligence (AI), PIDS

Abstract

Medan Aviation Polytechnic is a civil service college under the auspices of the Ministry of Transportation, especially in the air dimension. Medan Aviation Polytechnic is equipped with various complete educational facilities. However, security issues arise when cadets try to exploit vulnerabilities in the area to escape the campus. The purpose of PIDS is to detect and provide early warning of infiltration attempts in the campus area. This system is designed to integrate with various technology components such as the web and telegram bots as direct notifications and warnings to security officers, thereby increasing the security of Medan Aviation Polytechnic cadets. The method used in this research is by conducting research design, tool design, providing tool components and conducting system testing when the tool as a whole has been completed. The results of this study indicate that the system runs according to the desired design, where notifications are made with documentation in the form of camera portrait images and live streaming with a USB Webcam integrated with Artificial Intelligence (AI). If there is movement detected, it will send the portrait results to Telegram and issue an alarm on the buzzer and live streaming can be accessed on the available website.

Downloads

Download data is not yet available.

References

[1] Al Anwar, F. (2020). Design and Implementation of Arduino Uno-based Smartlamp using Android Smartphone. Media Jurnal Informatika, 11(2), 86-91.
[2] Aryza, S., Efendi, S., & Sihombing, P. (2024). A ROBUST OPTIMIZATION TO DYNAMIC SUPPLIER DECISIONS AND SUPPLY ALLOCATION PROBLEMS IN THE MULTI-RETAIL INDUSTRY. Eastern-European Journal of Enterprise Technologies, (3).
[3] Garcia, RAC, Lacyanga, RP, & Cruz, FRG (2021, November). Application of Artificial Intelligence in Adaptive Face Recognition System. In 2021 IEEE 11th International Conference on Systems Engineering and Technology (ICSET) (pp. 263-268). IEEE.
[4] Himawan, AA, Aulia, S., & Iqbal, M. (2023). Design and Construction of AI Virtual Mouse Based on Image Processing. eProceedings of Applied Science, 9(1).
[5] Mun, H. J., & Lee, M. H. (2022). Design for visitor authentication based on face recognition technology Using CCTV. IEEE Access, 10, 124604-124618.
[6] Pramono, BA, Hendrawan, A., & Daru, AF (2019). Raspberry Pi with Camera Module and Motion Sensor as CCTV Solution for Ftik Lab, Semarang University. Journal of Engineering and Technology Development, 14(1), 5-9.
[7] Purnamasari, AI, & Setiawan, A. (2019). Development of Passive Infrared Sensor (PIR) HC-SR501 with ESP32-CAM Microcontrollers Based on Internet of Things (IoT) and Smart Home as Motion Detection for Housing Security. SISFOTEK Proceedings, 3(1), 148-154.
[8] Rifandi, R., & Sutarti, S. (2021). Design of surveillance camera using raspberry with telegram application based on internet of things. PROSISKO: Journal of Research Development and Observation of Computer Systems, 8(1), 18-32.
[9] Riyadi, B., & Hendriyawan A, MS (2019). Design and Construction of a Home Security System Based on Raspberry Pi 3 Devices Using the Internet of Things (Doctoral dissertation, University of Technology Yogyakarta).
[10] Sutarti, S., Samsuni, S., & Asseghaf, I. (2019). Home Security System through Face Recognition Using Webcam and Opencv Library Based on Raspberry Pi. Journal of Informatics Dynamics, 8(2), 13-26. Juliansyah, A., Ramlah, R., & Nadiani, D. (2021). Motion Detection System Using PIR Sensor and Raspberry Pi. JTIM: Journal of Information Technology and Multimedia, 2(4), 199-205
[10] Wicaksono, MF, & Rahmatya, MD (2020). Implementation of Arduino and ESP32 CAM for Smart Home. Journal of Technology and Information, 10(1), 40-5
Published
2024-09-12
How to Cite
Zhafirah Rizki Fadilah Lbs, Tiara Sylvia, & Darmeli Nasution. (2024). The Design Of Perimeter Intrusion Detection System (PIDS) Surveillance Alarm Using USB Webcam And Artificial Intelligence Based On Web And Telegram Bot At Medan Aviation Polytechnic. Jurnal Scientia, 13(04), 1330-1337. https://doi.org/10.58471/scientia.v13i04.2615