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Introduction: In the realm of quality control and visual inspection, advancements in artificial intelligence (AI) have paved the way for significant improvements in accuracy, efficiency, and overall effectiveness. Traditionally, legacy systems relied on image comparison techniques for visual inspection. However, the advent of AI-based visual inspection has revolutionized this field, offering numerous advantages over its

Introduction: In the era of Industry 4.0, where automation and connectivity are transforming manufacturing processes, computer vision has emerged as a key technology in making factories smart. By harnessing the power of visual inspection systems, factories can optimize various tasks such as counting, OCR (Optical Character Recognition), defect detection, assembly verification, dimensioning, barcode reading, and

Introduction: In the fast-paced world of automotive manufacturing, ensuring efficient and error-free assembly processes is paramount. The traditional manual methods of assembly verification and checking for missing parts are prone to human error and can be time-consuming. However, with the advent of computer vision technology, automotive manufacturers now have a powerful tool at their disposal.

Introduction: In today’s fast-paced manufacturing and assembly processes, accuracy and efficiency are key. Every production line involves the precise counting of various components or parts to ensure quality control and minimize errors. Traditionally, this task has relied on manual labor, which can be time-consuming and prone to human error. However, thanks to advancements in technology,