Application of IoT optical sensing image processing equipment based on load balancing algorithm in sports physical fitness detection.
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| Title: | Application of IoT optical sensing image processing equipment based on load balancing algorithm in sports physical fitness detection. |
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| Authors: | Wang, Yanjun1 (AUTHOR), He, Lili2 (AUTHOR) menglil@zjxu.edu.cn, Wang, Limin3 (AUTHOR) |
| Source: | Optical & Quantum Electronics. Apr2024, Vol. 56 Issue 4, p1-17. 17p. |
| Subjects: | Image processing equipment, Image processing, Internet of things, Load balancing (Computer networks), Physical fitness, Algorithms, Physical fitness testing |
| Abstract: | The aim of this study is to propose an image processing device based on load balancing algorithm, which can realize efficient and accurate data processing in physical fitness detection. The characteristics of optical sensor image processing equipment and the demand of physical fitness detection are studied and analyzed. Then, according to the principle and strategy of load balancing, a load balancing algorithm suitable for iot optical sensor image processing equipment is designed. The algorithm can automatically adjust the task allocation according to the load of the device and ensure the load balance of each device. Finally, the experiment is carried out in the actual scene, and the comparison with the traditional method is analyzed. The experimental results show that the iot optical sensor image processing equipment based on load balancing algorithm has excellent performance in the physical fitness detection. It can effectively reduce the load pressure of the equipment and improve the speed and accuracy of data processing. The application potential of the equipment is huge, and it can play an important role in sports training, health monitoring and other fields. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | The aim of this study is to propose an image processing device based on load balancing algorithm, which can realize efficient and accurate data processing in physical fitness detection. The characteristics of optical sensor image processing equipment and the demand of physical fitness detection are studied and analyzed. Then, according to the principle and strategy of load balancing, a load balancing algorithm suitable for iot optical sensor image processing equipment is designed. The algorithm can automatically adjust the task allocation according to the load of the device and ensure the load balance of each device. Finally, the experiment is carried out in the actual scene, and the comparison with the traditional method is analyzed. The experimental results show that the iot optical sensor image processing equipment based on load balancing algorithm has excellent performance in the physical fitness detection. It can effectively reduce the load pressure of the equipment and improve the speed and accuracy of data processing. The application potential of the equipment is huge, and it can play an important role in sports training, health monitoring and other fields. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 03068919 |
| DOI: | 10.1007/s11082-024-06292-z |
