Open Access
| Issue |
ITM Web Conf.
Volume 85, 2026
Intelligent Systems for a Sustainable Future (ISSF 2026)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 6 | |
| Section | AI for Healthcare, Agriculture, Smart Society & Computer Vision | |
| DOI | https://doi.org/10.1051/itmconf/20268501004 | |
| Published online | 09 April 2026 | |
- Shaout, M. Theisen, State of the art—Smart doorbell systems, in Proc. 22nd Int. Arab Conf. Inf. Technol. (ACIT), Muscat, Oman (2021) 1–8. https://doi.org/10.1109/ACIT53391.2021.9677313 [Google Scholar]
- K. Patnaik, A. Verma, Facial recognition for smart home access control using enhanced deep embeddings, IEEE Access 12, 1–15 (2024). https://doi.org/10.1109/ACCESS.2024.3347821 [CrossRef] [Google Scholar]
- S. Ahmad, T. Bukhari, M. Hussain, Lightweight face liveness detection using LwFLNeT, J. Inf. Secur. Appl. 78, 103567 (2025). https://doi.org/10.1016/j.jisa.2025.103567 [Google Scholar]
- R. Al-Hakeem, L. Samer, P. Jordan, Multimodal anti-spoofing for smart door security systems, Sensors 24, 745 (2024). https://doi.org/10.3390/s24030745 [Google Scholar]
- N. Shah, M. Khan, AI-enabled smart door lock system with real-time cloud processing, Int. J. Intell. Syst. Appl. 17, 1–15 (2025). https://doi.org/10.5815/ijisa.2025.01.05 [Google Scholar]
- G. Hinton, O. Vanhoucke, J. Dean, Distilling the knowledge in a neural network, in Proc. NIPS 2014 Deep Learning Workshop (2014) https://doi.org/10.48550/arXiv.1503.02531 [Google Scholar]
- Q. Cao, L. Shen, W. Xie, O. M. Parkhi, A. Zisserman, VGGFace2: A dataset for recognising faces across pose and age, in Proc. IEEE Int. Conf. Autom. Face Gesture Recognit. (FG), Xi'an, China (2018) 67–74. https://doi.org/10.1109/FG.2018.00020 [Google Scholar]
- Yahyati, I. Lamaakal, K. El Makkaoui, I. Ouahbi, Y. Maleh, TinyML based facial recognition for embedded systems, in Proc. Int. Conf. Circuit, Systems and Communication (2025). https://doi.org/10.1109/ICCSC66714.2025.111349 57 [Google Scholar]
- J. Chen, J. Wang, P. Liu, mmWave radar for indoor presence detection, IEEE Trans. Aerosp. Electron. Syst. 56, 3852–3864 (2020) DOI:10.3390/rs16142572 [Google Scholar]
- Espressif Systems, ESP32-S3 technical reference manual, https://www.espressif.com/sites/default/files/documentation/esp32-s3_technical_reference_manual_en.pdf (accessed February 2026) [Google Scholar]
- J. Deng, J. Guo, N. Xue, S. Zafeiriou, ArcFace: Additive angular margin loss for deep face recognition, in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR) (2019) 4690–4699. https://doi.org/10.1109/CVPR.2019.00482 [Google Scholar]
- W. Gazali, J. M. Kho, J. Santoso, Williem, Ef QuantFace: Streamlined face recognition with small data and low bit precision, arXiv:2402.18163 (2024) https://doi.org/10.48550/arXiv.2402.18163 [Google Scholar]
- TensorFlow Lite Micro, Microcontroller inference guide, https://www.tensorflow.org/lite/microcontrollers (accessed February 2026) [Google Scholar]
- Y. Peng, Y. Li, M. Zhang, Real-time face detection on embedded systems, J. Embed. Syst. 14, 112–128 (2023) DOI:10.3390/s19092158 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.