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.
Authors
- Tetuko Kurniawan (ORCID: https://orcid.org/0000-0002-2227-8084)
- Silvania F. Pereira (ORCID: https://orcid.org/0009-0001-9148-1975)
- Li Wah Thong (ORCID: https://orcid.org/0000-0001-8698-9961)
- Sin Ting Lim (ORCID: https://orcid.org/0000-0001-9323-7469)
Institutions
- Multimedia University (MY)
- Institute of Fundamental Technological Research (PL)
- Polish Academy of Sciences (PL)
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
Funders
- Multimedia University