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AI is revolutionizing quality control in electronics manufacturing by enhancing inspection processes and reducing costs. Anna-Katrina Shedletsky emphasized the power of machine learning and deep learning to automate tasks, improve product quality, and deliver significant ROI, making quality control the perfect starting point for AI implementation.

The combination of closed loop quality systems and AI-driven machine vision is transforming manufacturing by enabling real-time adjustments and proactive problem-solving.

The manufacturing industry is evolving due to Artificial Intelligence (AI) and robotics, significantly impacting job outlooks, as highlighted by the U.S. Bureau of Labor Statistics. This article will explore quality trends and provide guidance for future changes.

A manufacturer retrofitted aging PLC-5 systems in aircraft painting facilities with Rockwell’s ControlLogix and R. Stahl’s IS components, enhancing safety, reliability, and maintenance for future operations.

Event-based vision technology addresses challenges in industrial machine vision, such as data overload and the need for real-time processing, by efficiently capturing changes in a scene with high speed and low power consumption.

The author began their quality career in a West Michigan paint department, where they improved product quality by mastering a paint pretreatment system and collaborating with the quality team. His efforts led to ISO certification and recognition from quality professionals, culminating in their membership in the American Society for Quality.

Active thermography (AT) is a nondestructive testing method that uses advanced infrared camera technology and software to inspect subsurface defects in materials like those used in aerospace and automotive industries.

Conformable/flexible digital detector array (DDA) panels are revolutionizing industrial radiography by enabling comprehensive imaging of complex shapes across sectors like aerospace, oil and gas, automotive, construction, and electronics. This technology improves nondestructive testing and image quality, supported by key ASTM standards.

Ethics in Nondestructive Testing (NDT) are vital, as inspectors' decisions directly impact safety. Unethical practices, such as skipping inspections, using forged documents, and misusing inspection stamps, can lead to serious consequences and compromise industry integrity.

Neutron imaging enhances aerospace valve inspection by detecting issues traditional methods like X-rays miss. It reveals contaminants and allows for detailed 3D models, improving the assessment of complex valve assemblies.