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An global lens assembly inspection system is used in manufacturing process of compact camera modules that checks for things like black and white, dim, color, and line defects as well as the status of the lens’s focus and white balance is presented in this paper.
A one-of-a-kind image capturing system has been developed to obtain image data from a CMOS sensor at a high speed in order to inspect the compact camera module’s defects and determine its imaging status. The camera link and the frame grabber are used to transfer and store images to a PC thanks to its intricate programmable logic device.
A few sorts of remarkable picture outlines are intended to examine the different kinds of imperfections in smaller camera module, and they are executed and shown on the LCD screen straightforwardly to lessen dealing with and trading season of review graphs during test systems.
Each test chart’s captured image is analyzed using a variety of image processing algorithms to identify and confirm camera module flaws. The results of the experiments demonstrate that the proposed system can accurately and quickly inspect a wide range of defects in real manufacturing conditions.
The Global Lens Assembly Inspection System market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Advantech and Overview have collaborated to provide manufacturer Lens Assembly Inspection System with a comprehensive AI vision inspection solution. Advantech is a leading supplier of edge hardware and industrial Internet of Things (IoT) technology.
Overview, founded by Tesla automation engineers, creates vision inspection platforms that automate and enhance inspection procedures by utilizing deep learning.
Manufacturers can improve quality control, traceability, and speed for high-quality production line operations by combining Advantech hardware, particularly its new edge AI camera, the ICAM-500, with deep learning technologies from Overview.
As quality control departments focus on yield, traceability, the costs of manual inspections, high turnover, and shrinking margins, manufacturers prioritize automation. The focus has shifted to enhancing and automating quality inspection procedures in order to assist in addressing these issues. Human visual inspections have historically been used to overcome these obstacles.
Depending exclusively on staff for visual investigation, nonetheless, isn’t just tedious and exorbitant, yet additionally inclined to human blunder.
Product inspection is made easier and more effective by the fact that a dependable, automated visual system can examine product assembly at each stage of the manufacturing process. Automation and artificial intelligence have made it easier to distinguish between good and bad products, resulting in zero manufacturing defects.
