Oluwaseun Martins, A Adetoye Aribisala, O. Hezekiah Adeyemi, A. A. Adekunle, A Olatunde Oyelaran,


The dependability of mobile robot to accomplishment of insistent tasks such as surveillance as continue to promote it real-world application. Propulsion of mobile robot can be legged of wheeled. Whereas the wheeled propelled mobile robot has been said to be the most applied category of mobile robots, mono-mode mobility control is apparent in literature. Therefore, the present work describes the methodology for development of dual mode mobility control for mobile surveillance robot. The default mode is the autonomous mode. Three HC-SR501 PIR sensor at different location on the robot detects the presence of humans within it range corresponding to a HIGH logic level. This logic level is processed by the ATmega328 microcontroller on the Arduino UNO R3. The output command controls the wheel DC motors to turn and the MG90S servo motor rotates the LED night vision camera in the direction of the sensed human for image capture. Real-time transmission of visual and audio is done through the wireless camera receiver and TV tuner card. The HC-SR04 ultrasonic sensor attached to the SG90 servo motor scans the environment for real-time obstacle avoidance. A remote-control panel was developed for the remote-control mode of the robot through RF 434 MHz. The experiment of the design shows that the drawback with mono-mode platforms such as Wi-Fi, Internet, Bluetooth, Voice recognition and ZigBee as presented in literature is insignificant. For future work, the incorporation of path planning competence will improve the performance and application of the robot.   

Full Text:




Abdullah, R. H. (2015). Design and Implementation of Ultrasonic Based Distance Measurement Embedded System with Temperature Compensation. International Journal of Emerging Science and Engineering (IJESE), 31.

Dhayagonde, S. B., and Shantanu, k. D. (2014). Web Based Survillance and Human Detector Robot Using PIR Sensor. International Journal For Science Research and Development (IJSRD), 2(6), 169-171.

Dhiray, S. P., Dheeraj, M., Devendra, P., Ankit, S., and Ishwar, R. (2013). Mobile Operated Spy Robot. International Journal of Engineering Technology and Advanced Engineerng (IJETAE), 23-26.

Grocholsky, B., Keller, J., Kumar, R. V., and Pappas, G. J. (2006). Cooperative Air and Ground Surveillance. IEEE Robotics and Automation Magazine (pp. 16-17). IEEE.

Handbook, E. (2019, January 13). EngineersHandbook.com. Retrieved from Reference Tables -- Coefficient of Friction: http://www.engineershandbook.com/Tables/frictioncoefficients.htm

IPS. (2019, January 13). ACRYLIC. Retrieved from International Polymer Solutions Inc: https://www.ipolymer.com/pdf/Acrylic.pdf

Kim, Y., Shin, D., Lee, J., Lee, O., and Jun Yoo, H. (2017). A 0.55 V 1.1 mW Artificial Intelligence Processor With On-Chip PVT Compensation for Autonomous Mobile Robots. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS–I: REGULAR PAPERS , 1.

Kobayashi, K., Iwamura, K., Kaneda, K., and Echizen, I. (2014). Surveillance Camera System to Achieve Privacy Protection and Crime Prevention . 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (pp. 463-464). IEEE.

Kumar, B. B., Karthik, R., Nischitha, N., Ramesh, L., and Sandhya, M. S. (2015). Multi-task Surveillance Robot Using ARM Controller. International Journal of Advance Research and Innovative Ideas in Education (IJARIIE) , 41-48.

LED, R. C. (2019, January 13). Ohms Law Caculator. Retrieved from LED Resistor Calculator: http://www.ohmslawcalculator.com/led-resistor-calculator

Mandai, P., Barai, R. K., Maitra, M., and Roy, S. (2013). Path Planning of Autonomous Mobile Robot: A New Approach. Proceedings of 7th International Conference on Intelligent Systems and Control (pp. 238-239). ISCO 2013.

NASA. (2010). Speed of Sound. National Aeronautics and Space Administration.

Nguyen, H. T., and Xuan, H. L. (2016). Path planning and Obstacle avoidance approaches for Mobile robot. International Journal of Computer Science Issues, 3-4.

Nikranjbar, A., Haidari, M., and Atai, A. A. (2018). Adaptive Sliding Mode Tracking Control of Mobile Robot in Dynamic Environment Using Artificial Potential Fields. Journal of Computer and Robotics, 1-2.

Nyi, T. T., and Kyaw, T. (2016). Design and Implementation of Wireless Based Android Controlled Spy Robot. Journal of Electrical and Electronics Engineering (IOSR-JEE), 11(5), 178-186.

Onwuka, E., and Onwubiko, N. D. (2015). Effects of Surveillance on Oil Pipeline Vandalism in The Downstream Sector, Nigeria. European Journal of Business and Social Sciences, IV(3), 127-129.

Saad, W. H., Karim, S. A., Azhar, N. B., Manap, Z., Y. Y., and Ibrahim, M. M. (2018). Line Follower Mobile Robot for Surveillance Camera Monitoring System. Journal of Telecommunication, Electronic and Computer Engineering, 2-5.

Sakali, N., and Nagendra, G. (2017). Design and Implementation of Web Surveillance Robot for Video Monitoring and Motion Detection. International Journal of Engineering Science and Computing, 4298 - 4301.

Siegwart, R., and Nourbakhsh, I. R. (2004). Introduction to Autonomous Mobile Robots. Cambridge, Massachusetts London, England: A Bradford Book The MIT Press.

Singh, D., and Nandgaonkar, A. (2019). IOT-Based Wi-Fi Surveillance Robot with Real-Time Audio and Video. In C. C. B. Iyer et al. (eds.), Advances in Intelligent Systems and Computing (pp. 639-641). Springer Nature Singapore Pte Ltd. 2019. doi:https://doi.org/10.1007/978-981-13-1513-8_65

Singh, P., Nigam, P., Dewan, P., and Singh, A. (2017). Design and Implementation of a Raspberry PI Surveillance Robot with Pan Tilt Raspbian Camera. International Journal of Nanotechnology and Applications, 69-71.

Udupa, S., Joshi, N., and Raman, S. (2017). Design, Analysis and Control of an Autonomous Underwater Surveillance Robot. 2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) (p. 121). Asia: IEEE.

Ulrich, N. (2001). Mobile Robotics: Research, Applications and Challenges. “Future Trends in Robotics”, Institution of Mechanical Engineers,, (pp. 1-2). London 2.7.2001.

Vansh, R. (2015). War Field Spying Robot With Fire Figthing Circuit: A Model. International Conference on Engineering Trends in Technology, Science and Upcoming Research in Computer Science (pp. 78-85). Faridabad: DAVIM.

Vivek, K., Ravindra, J., Aashay, C., and Sanket, D. (2015). Camouflaged Colour Changing Robot For Military Purpose. International Journal of Advanced Research in Computer Science and Software Engineering, 5(3), 265-267.

Waslander, S. L. (2013). Unmanned Aerial and Ground Vehicle Teams: Recent Work and Open Problems. In A. C. K. Nonami et al. (eds.), Intelligent Systems, Control and Automation: Science and Engineering 65 (pp. 21-22). Springer.


  • There are currently no refbacks.