Citation

Sin, Ting Lim and Pereira, Shawn and Li, Wah Thong and Kurniawan, Tetuko (2025) Design of a Smart Surveillance Robot Using HUSKYLENS AI Vision Sensor. International Journal on Robotics, Automation and Sciences, 7 (2). pp. 117-124. ISSN 2682-860X

Text 14920.pdf - Published Version Restricted to Repository staff only Download (856kB)

Abstract

This study aims to enhance security by implementing a smart surveillance robot using existing facial recognition technology. The developed robot is equipped with the HUSKYLENS AI vision sensor camera and an ESP32 CAM module to provide a real-time video feed to a connected computer via Wi-Fi. The results demonstrate the successful integration of facial recognition technology into the surveillance robot's functionality. The robot exhibits an acceptable ability to identify and track intruders, underscoring its potential for enhancing security applications. The robot features a height of 12 cm, a width spanning 11.5 cm, a length measuring 19 cm, and a weight totalling 1.3 kg. Operating on a basic configuration of two main wheels, the robot forms a two-wheeled system with three degrees of freedom (DOF). The developed robot demonstrates an ability to identify and track intruders with a tested accuracy of 77.5%, precision of 80%, specificity of 79%, and sensitivity of 76.1%. The compact and low-profile design enables it to operate discreetly in diverse environments, making it particularly well-suited for scenarios where inconspicuous surveillance is needed.

Item Type:	Article
Uncontrolled Keywords:	Surveillance, Robots, HuskyLens, Facial Recognition, Machine Learning
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Nurin Syazwani Azmi
Date Deposited:	11 Nov 2025 04:49
Last Modified:	11 Nov 2025 04:49
URII:	http://shdl.mmu.edu.my/id/eprint/14920

Downloads

Edit (login required)