Open Access Paper
11 September 2023 Functional framework construction of DSP sports application system based on improved genetic algorithm and AI
Zhiqiang Min
Author Affiliations +
Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127791G (2023) https://doi.org/10.1117/12.2689445
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
Moving target detection and tracking is the core of computer vision system research, and it has always been a hot topic for scientists and engineers. Many remarkable achievements have been made in this field, and many preliminary applications have been made. With the introduction and development of the concept of open architecture CNC system, when designing a new generation CNC system, we should not only consider the standard questions of system real-time, machining accuracy, simplicity of user operation, fault diagnosis and system security protection, but also consider the new problems brought about by the new requirements of system software upgrade and maintenance, cross-platform transplantation and user's secondary application development on the system platform. Based on the self-developed DSP type motion controller, this paper designs and develops a special motion control software for single-needle computerized quilting. The system creates an application environment with Genetic Algorithm (GA) to deal with complex problems on the TMS320C6201 hardware platform and performs functional verification on image matching problems with large data volume and complex fitness function calculation in the system environment. The experimental results show that the overall scheme of the system is feasible.
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Zhiqiang Min "Functional framework construction of DSP sports application system based on improved genetic algorithm and AI", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127791G (11 September 2023); https://doi.org/10.1117/12.2689445
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KEYWORDS
Digital signal processing

Motion controllers

Control systems

Signal processing

Genetic algorithms

Interpolation

Control software

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