Abstract
This study applies an improved particle swarm optimization (IEPSO) algorithm to optimize the structural design parameters of a binocular detection system. First, the mathematical model of the performance analysis of the binocular detection system is established, and the influencing factors of index parameters are analyzed. Second, the IEPSO algorithm is proposed to overcome the shortcomings of common PSO. Finally, taking a model of the binocular system as an example, the effective field of view and resolution are used as constraints, and the IEPSO algorithm is used to optimize the binocular system’s parameters. Optimization result can enable the detection error of the system to reach 0.01 mm.
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