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A Novel Solution for Rapid Auto-Focusing in Dynamic Imaging Scenarios

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posted on 2024-12-13, 08:16 authored by Shenming hu, zhiyuan xiao, Yuchen Sun, Lei Li, Hongyu Zhao
In dynamic imaging scenarios and precision applications requiring rapid refocusing, traditional imaging systems often struggle to maintain sharp and accurate images. To address these challenges, we propose a solution that integrates the Single-Aberration Focusing Lens Inspired by Human Eye Crystals (SAFLE-HEC) with a custom algorithm to enhance both dynamic imaging and precision applications. The SAFLE-HEC lens achieves rapid focus adjustments, with average autofocus times of 10.92 ms in static and 16.81 ms in dynamic scenarios, while maintaining image clarity. Additionally, the lens performs robustly under challenging lighting conditions, including underexposure and overexposure, and demonstrates high accuracy in object tracking. The real-time tracking algorithm allows QR code detection to be completed in under 2 ms. In high-speed turntable tests at 300 rpm, autofocus time increased slightly but remained under 20 ms, and QR code detection stayed under 4 ms. This hardware-software integrated solution provides a cost-effective and efficient option for machine vision, particularly in automated quality inspection and real-time tracking in industrial environments.

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Preprint ID

118178

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