Paper
13 June 2024 Edge computing device for real-time detection
Xiaoya Fang, Xiaoge Tang, Yuxin Song, Haoyu Wu, Haotian Shi, Le Hu, Chang Liu, Chang Chen, Pengchao Sun, Ziyao Zhou
Author Affiliations +
Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131806A (2024) https://doi.org/10.1117/12.3033741
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China
Abstract
With the development of cities and the reduction of living spaces, indoor plants have always been a popular choice for improving quality of life, purifying air, and increasing indoor greening. However, many people lack the necessary skills and time to take proper care of these plants, leading to their health being often overlooked. This application connects smartphones and tablet devices with potted plants and provides a plant management method. It can monitor plant growth, track changes in leaf color, size, and morphology, and use cameras and sensors to measure soil moisture, light intensity, and temperature in real-time. These data can not only be accessed on users' mobile devices, but also be used for developing trend analysis and reporting, helping users better understand their factory needs. In addition to data, the application also includes an intelligent suggestion function that provides users with personalized plant care suggestions based on monitoring results. This program can provide feasible answers for plant enthusiasts, increasing their chances of successfully maintaining plants, whether it is the optimal watering time, fertilizer type, or lighting settings.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaoya Fang, Xiaoge Tang, Yuxin Song, Haoyu Wu, Haotian Shi, Le Hu, Chang Liu, Chang Chen, Pengchao Sun, and Ziyao Zhou "Edge computing device for real-time detection", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131806A (13 June 2024); https://doi.org/10.1117/12.3033741
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KEYWORDS
Design

Cameras

Environmental monitoring

Real-time computing

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