A Mobile Robot Design for Home Security Systems
Received: 24 March 2024 | Revised: 19 April 2024 | Accepted: 6 May 2024 | Online: 16 May 2024
Corresponding author: Duc-Tho Mai
Abstract
Home Security Systems (HSSs) have received much attention and have been widely adopted for practical deployment. However, detection and warning accuracy still need to be improved, along with the range of the realm, making it challenging to satisfy the user demands. This study proposes a security monitoring system based on mobile robots and the Internet of Things (IoT), allowing users to monitor and control devices remotely. The mobile robot integrated sensor systems and surveillance cameras are utilized for unauthorized early intrusion detection and to give users instant warnings. The data collected by the robot were stored on the Firebase Cloud server, and a mobile application and a Telegram interface were integrated to manage and control the system. In addition, adaptive motion control was adopted to correct errors in the robot’s trajectory. The implementation results proved that this system operated effectively with a minimal response delay of 0.87–1.67 s and a high detection accuracy (96.25%) in two experimental cases, which makes it suitable for real-time applications.
Keywords:
mobile robot, IoT, Telegram bot, Cloud Firebase, remote security systemsDownloads
References
A. Hanah, R. Farook, S. J. Elias, M. R. A. Rejab, M. F. M. Fadzil, and Z. Husin, "IoT Room Control And Monitoring System Using Rasberry Pi," in 2019 4th International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), Nov. 2019, pp. 1–4.
W. Burgard, M. Moors, D. Fox, R. Simmons, and S. Thrun, "Collaborative multi-robot exploration," in Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), San Francisco, CA, USA, 2000, pp. 476–481.
M. N. Osman, M. H. F. Ismail, K. A. Sedek, N. A. Othman, and M. Maghribi, "A Low-Cost Home Security Notification System Using IoT and Telegram Bot: A Design and Implementation," Journal of Computing Research and Innovation, vol. 7, no. 2, pp. 327–337, Sep. 2022.
D. Di Paola, A. Milella, G. Cicirelli, and A. Distante, "An Autonomous Mobile Robotic System for Surveillance of Indoor Environments," International Journal of Advanced Robotic Systems, vol. 7, no. 1, Mar. 2010, Art. no. 8.
N. Surantha and W. R. Wicaksono, "Design of Smart Home Security System using Object Recognition and PIR Sensor," Procedia Computer Science, vol. 135, pp. 465–472, Jan. 2018.
N. Hema and J. Yadav, "Secure Home Entry Using Raspberry Pi with Notification via Telegram," in 2020 6th International Conference on Signal Processing and Communication (ICSC), Noida, India, Mar. 2020, pp. 211–215.
I. G. M. N. Desnanjaya and I. N. A. Arsana, "Home security monitoring system with IoT-based Raspberry Pi," Indonesian Journal of Electrical Engineering and Computer Science, vol. 22, no. 3, pp. 1295–1302, Jun. 2021.
N. Made, N. Piarsa, and A. Sasmita, "Telegram Bot Integration with Face Recognition as Smart Home Features," International Journal of Computer Applications, vol. 182, no. 13, pp. 42–47, Sep. 2018.
R. Hasan, M. M. Khan, A. Ashek, and I. J. Rumpa, "Microcontroller Based Home Security System with GSM Technology," Open Journal of Safety Science and Technology, vol. 5, no. 2, pp. 55–62, May 2015.
L. Zhang, Y. Zhang, and Y. Li, "Mobile Robot Path Planning Based on Improved Localized Particle Swarm Optimization," IEEE Sensors Journal, vol. 21, no. 5, pp. 6962–6972, Mar. 2021.
F. H. Ajeil, I. K. Ibraheem, M. A. Sahib, and A. J. Humaidi, "Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm," Applied Soft Computing, vol. 89, Apr. 2020, Art. no. 106076.
X. Deng, R. Li, L. Zhao, K. Wang, and X. Gui, "Multi-obstacle path planning and optimization for mobile robot," Expert Systems with Applications, vol. 183, Nov. 2021, Art. no. 115445.
J. Hong and K. Park, "A new mobile robot navigation using a turning point searching algorithm with the consideration of obstacle avoidance," The International Journal of Advanced Manufacturing Technology, vol. 52, no. 5, pp. 763–775, Feb. 2011.
K. M. Zuhaib, J. Iqbal, A. M. Bughio, S. A. A. S. Bukhari, and K. Kanwar, "Collision Avoidance of a Kinodynamically Constrained System from Passive Agents," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6760–6765, Feb. 2021.
F.-F. Li, Y. Du, and K.-J. Jia, "Path planning and smoothing of mobile robot based on improved artificial fish swarm algorithm," Scientific Reports, vol. 12, no. 1, Jan. 2022, Art. no. 659.
L. Yang et al., "Path Planning Technique for Mobile Robots: A Review," Machines, vol. 11, no. 10, Oct. 2023, Art. no. 980.
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