Design of a Smart Surveillance Robot Using HUSKYLENS AI Vision Sensor

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.

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Publication Details

Journal
International Journal on Robotics Automation and Sciences
Published
2025-07-30
DOI
https://doi.org/10.33093/ijoras.2025.7.2.12
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Design of a Smart Surveillance Robot Using HUSKYLENS AI Vision Sensor

Tetuko Kurniawan, Silvania F. Pereira, Li Wah Thong, Sin Ting Lim
International Journal on Robotics Automation and Sciences
IoT-based Smart Home Systems
article

Design of a Smart Surveillance Robot Using HUSKYLENS AI Vision Sensor

Tetuko Kurniawan, Silvania F. Pereira, Li Wah Thong, Sin Ting Lim
article en

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.

International Journal on Robotics Automation and SciencesVol. 7(2)
Multimedia University (MY), Institute of Fundamental Technological Research (PL), Polish Academy of Sciences (PL)
Multimedia University
Peace, Justice and strong institutions
Openalex Percentile: Top 81%
IoT-based Smart Home Systems
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Design of a Smart Surveillance Robot Using HUSKYLENS AI Vision Sensor — Tetuko Kurniawan, Silvania F. Pereira, et al. · International Journal on Robotics Automation and Sciences (2025) | TGRS Research Map | TGRS