A Novel Optical Morse Code-Based Electronic Lock Using the Ambient Light Sensor and Fuzzy Controller
Source abstract
Abstract
In this work, a novel electronic lock that can encode and decode optical signals, modulated using Morse code conventions, was developed to build a smart home security system based on the Internet of Things (IoT). There are five topics of interest in this research: (1) optical Morse code encoder; (2) optical Morse code decoder; (3) ambient light sensor circuit; (4) fuzzy controller; (5) cloud monitoring system. We take advantage of the light-emitting components as the encoder, which are readily available in hand-held mobile devices (e.g., Smart phones) and photoresistors and a microcontroller as the decoder. By Wi-Fi transferring, even without a personal computer, real-time information about this lock can be uploaded to the cloud service platform, and helps users to ensure home safety on the remote monitoring system. By using the ambient light sensor and fuzzy controller in this novel optical Morse code-based electronic lock, experimental results show that the reliability of this system is much improved from 65% to 100%. That means that it is highly resistant to different illumination conditions in the work environment, and therefore all functions, including coding, emitting, receiving, decoding, uploading and cloud monitoring, can work well. Furthermore, besides the convenience and cost reduction, by incorporating traditional keys into smart phones, as a consumer electronics, our proposed system is suitable for users of all ages because of a user-friendly operation interface.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: IoT-based Smart Home Systems · Optical Wireless Communication Technologies · Indoor and Outdoor Localization Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electronic Engineering, National Quemoy University, Jinning, Kinmen 89250, Taiwan
Department of Electrical Engineering, Lee-Ming Institute of Technology, Taishan, New Taipei 24305, Taiwan
References (22)
Show source-provided references
1. An experimental study of wireless connectivity and routing in ad hoc sensor networks for real-time soccer player monitoring10.1016/j.adhoc.2012.09.005 ↗
2. Mobile monitoring and embedded control system for factory environment10.3390/s131217379 ↗
3. Huang, C.H., Bai, Y.W., and Ren, J.H. (2015, January 6–8). Design and implementation of a door lock control based on a near field communication of a smartphone. Proceedings of the 2015 IEEE International Conference on Consumer Electronics, Taipei, Taiwan.10.1109/ICCE-TW.2015.7216992 ↗
4. Sousa, P.J., Tavares, R., Abreu, P., Quintas, M., Reis, A., and Restivo, M.T. (2015, January 2–4). Wireless control and network management of door locks. Proceedings of the 2015 3rd Experiment International Conference (exp.at’15), Ponta Delgada, Portugal.10.1109/EXPAT.2015.7463244 ↗
5. Tsonev, D., Videv, S., and Haas, H. (2013). Light fidelity (Li-Fi): Towards all-optical networking. Proc. SPIE.10.1117/12.2044649 ↗
6. Dynamic load balancing with handover in hybrid Li-Fi and Wi-Fi networks10.1109/JLT.2015.2480969 ↗
7. Silva, S., Valente, A., Soares, S., Reis, M.J., Paiva, J., and Bartolomeu, P. (2016, January 13–15). Morse code translator using the Arduino platform: Crafting the future of microcontrollers. Proceedings of the 2016 SAI Computing Conference (SAI), London, UK.10.1109/SAI.2016.7556055 ↗
8. Gaikwad, P.P., Gabhane, J.P., and Golait, S.S. (2015, January 22–23). A survey based on smart homes system using Internet-of-Things. Proceedings of the 2015 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), Chennai, India.10.1109/ICCPEIC.2015.7259486 ↗
9. IOT system environmental monitoring using IPSO weight factor estimation10.1108/02602281311324708 ↗
10. Mukherjee, K., and Chatterjee, D. (2015, January 15–17). Augmentative and alternative communication device based on eye-blink detection and conversion to Morse-code to aid paralyzed individuals. Proceedings of the 2015 International Conference on Communication, Information & Computing Technology (ICCICT), Mumbai, India.10.1109/ICCICT.2015.7045754 ↗
11. Sapaico, L.R., and Sato, M. (2011, January 19–21). Analysis of vision-based text entry using Morse code generated by tongue gestures. Proceedings of the 2011 4th International Conference on Human System Interactions (HSI), Yokohama, Japan.10.1109/HSI.2011.5937359 ↗
12. Unstable Morse code recognition with adaptive variable-ratio threshold prediction for physically disabled persons10.1109/86.867882 ↗
13. Morse code application for wireless environmental control systems for severely disabled individuals10.1109/TNSRE.2003.819905 ↗
14. A novel Morse code-inspired method for multiclass motor imagery brain–computer interface (BCI) design10.1016/j.compbiomed.2015.08.011 ↗
15. Adaptive Morse code communication system for severely disabled individuals10.1016/S1350-4533(00)00005-9 ↗
16. MediaTek Labs. Available online: http://labs.mediatek.com/site/global/developer_tools/mediatek_cloud/whatis_cloud/index.gsp.
17. A reinforcement-learning-based fuzzy compensator for a microcontroller-based frequency synthesizer/vector voltmeter10.1109/TIM.2011.2124670 ↗
18. Adaptive dynamic surface control of mems gyroscope sensor using fuzzy compensator10.1109/ACCESS.2016.2596538 ↗
19. Modeling fuzzy data with XML: A survey10.1016/j.fss.2015.09.016 ↗
20. Knowledge measure for Atanassov’s intuitionistic fuzzy sets10.1109/TFUZZ.2015.2501434 ↗
21. LinkIt ONE-Seeed Studio. Available online: wiki.seeed.cc/LinkIt_ONE/.
22. Kumar, N.P., and Jatoth, R.K. (2015, January 28–30). Development of cloud based light intensity monitoring system using raspberry Pi. Proceedings of the 2015 International Conference on Industrial Instrumentation and Control (ICIC), Pune, India.10.1109/IIC.2015.7150959 ↗