Application of Internet of Things and computer vision in building intelligent light model using solar energy

Smart city models are being promoted worldwide. In particular, modernizing the lighting system, saving electricity and operating costs are the issues that need to be solved in a smart city. In this study, we have designed an intelligent lighting system that operates automatically based on calculated...

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Bibliographic Details
Published in:	2022 9th NAFOSTED Conference on Information and Computer Science (NICS) pp. 361 - 366
Main Authors:	Quang Nhat, Minh Le, Minh, Tri Ho, Dang Van, Thang, Thanh Nguyen, Nhan Thanh, Cuu, Suu Nguyen, Huynh Thi Thuy, Linh
Format:	Conference Proceeding
Language:	English
Published:	IEEE 31-10-2022
Subjects:	Computational modeling Computer vision Costs IoT Lighting Process control Smart cities Smart lighting Solar energy YOLOR application
Online Access:	Get full text
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Summary:	Smart city models are being promoted worldwide. In particular, modernizing the lighting system, saving electricity and operating costs are the issues that need to be solved in a smart city. In this study, we have designed an intelligent lighting system that operates automatically based on calculated human traffic, applying IoT technology and using ESP8266 as the main microcontroller. To calculate human traffic, the YOLOR - a computer vision product is used to analyze and process the images recorded by the camera. The human traffic, after being calculated, is a control signal to operate the light model and use reasonable energy automatically. In addition, the proposed model has been tested in different light intensities. After that, processing performance and system accuracy have been analyzed.
DOI:	10.1109/NICS56915.2022.10013476