Source prnewswire
LG Innotek solidifying its position as a leader in camera modules through innovative AI processes
The CEO of the company said on June 10th that they have successfully lowered the defect rate of high-spec camera modules.With the upcoming use of artificial intelligence, the top global manufacturer of camera modules is solidifying its position by streamlining the production of intricate components and reducing the need for lengthy ramp-up processes.In order to improve profitability and cost competitiveness, the company wants to implement advanced 'Industrial Artificial Intelligence' technology.The initial yield, which determines profitability and customer confidence, is solved with the 'ai process recipe'.In the manufacturing industry, low production output in the initial phases of large-scale manufacturing of valuable new products is a frequent problem.The longer the process takes, the higher the cost to correct a defect after mass production.Component manufacturers place a lot of importance on stabilizing the initial yield, sometimes even risking their business, because failing to meet the delivery date results in a decrease in customer trust.The key to tackling this challenge is through artificial intelligence, according to the company.The initial process is looked at and identified where defects are most likely to occur.A process recipe that can reduce the defect rate to a minimum is developed by using defect prediction results to create a simulation.For the first time in the industry, a high-spec camera module was manufactured using an 'ai process recipe'.The defect rate of key inspection items has been reduced by up to 90% by the use of artificial intelligence.The thickness and size of the high-spec camera module are expected to be reduced in line with this trend.As the camera module specifications become ultra-thin, the manufacturing process becomes more sophisticated.When a flaw was found during performance testing, it would take over 72 hours to create a new process recipe.The defect rate in major inspection items has been reduced by up to 90% thanks to the implementation of the 'ai process recipe.'
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