The paper presents a novel method for monitoring and estimating the depth of\r\na laser-drilled hole using machine vision. Through on-line image acquisition and analysis\r\nin laser machining processes, we could simultaneously obtain correlations between the\r\nmachining processes and analyzed images. Based on the machine vision method, the\r\ndepths of laser-machined holes could be estimated in real time. Therefore, a low cost\r\non-line inspection system is developed to increase productivity. All of the processing work\r\nwas performed in air under standard atmospheric conditions and gas assist was used. A\r\ncorrelation between the cumulative size of the laser-induced plasma region and the depth\r\nof the hole is presented. The result indicates that the estimated depths of the laser-drilled\r\nholes were a linear function of the cumulative plasma size, with a high degree of\r\nconfidence. This research provides a novel machine vision-based method for estimating the\r\ndepths of laser-drilled holes in real time.
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