Why Automated Optical Inspection Is a Winner in PCB Quality Control
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Excelling in PCB quality control is a meaningful way to maintain competitiveness despite these conditions. Many decision-makers have increasingly invested in automated optical inspection (AOI) at their facilities. This approach leads to numerous benefits.
Why Visual AI Inspection Is Essential for Detecting PCB Defects
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Artificial intelligence (AI) can help manufacturers handle quality control while managing larger volumes. Here are some compelling reasons people use visual inspection AI tools in modern production facilities.
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Featured Product
Model TR1 Tru-Trac
The Model TR1 Tru-Trac® linear measurement solution is a versatile option for tracking velocity, position, or distance over a wide variety of surfaces. An integrated encoder, measuring wheel, and spring-loaded torsion arm in one, compact unit, the Model TR1 is easy to install. The spring-loaded torsion arm offers adjustable torsion load, allowing the Model TR1 to be mounted in almost any orientation - even upside-down. The threaded shaft on the pivot axis is field reversible, providing mounting access from either side. With operating speeds up to 3000 feet per minute, a wide variety of configuration options - including multiple wheel material options - and a housing made from a durable, conductive composite material that minimizes static buildup, the Model TR1 Tru-Trac® is the ideal solution for countless applications.
Manufacturing and Automation - Featured Company
Datanomix
Datanomix empowers manufacturers of all sizes to increase productivity and profitability through its Data-Powered Production™ solutions. Its product portfolio includes Production Monitoring, G-Code Cloud™ + DNC, TMAC AI™, and ToolAnalytix™ - all designed to turn machine data into actionable insights with zero operator input. Headquartered in New Hampshire, Datanomix software analyzes real-time production signals to identify bottlenecks, improve quality, and provide prescriptive coaching to drive continuous improvement. For more information, visit www.datanomix.io.
