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Camera sensors and new machine vision applications tend to drive parallel advances in optics, and optics suppliers must continually evolve as machine vision technologies progress.
For products in the consumer, parts, food & beverage, and print & packaging markets, a significant portion of the manufacturing process still relies on manual tasks performed by human operators.
Along with a host of new products, THK had a record sales year in 2022. Perhaps you saw one of their two large booths at IMTS, with robots serving bottled water.
Manual means of performing NDT and human evaluation of the results is trending more and more to automated, digitized and artificial intelligence interpretation of the results whenever economically possible.
Manual or human manipulated NDT is still the primary means of performing Nondestructive Testing (NDT) in unique or one-off applications. Mechanical aids and/or computer assisted manipulation and scanning devices can reduce data gathering time on the site of the item being inspected.
Robots are being added in locations that add value so companies can use human employees in higher value areas and tasks still beyond the scope of machines.
Current trends for quality assurance and quality control (QA/QC) procedures in metal manufacturing plants are becoming more stringent. The need for 100% measurements for alloy verification is frequently becoming part of these procedures.
When it comes to building cost-effective 3D vision systems, is it better to use a component-based (i.e., camera, laser, lens, brackets, calibration targets) or all-in-one (i.e., smart) approach?
Intelligent automation systems for the plant floor increasingly rely on robotics and machine vision, generally known as Vision Guided Robotics (VGR), to provide the flexibility and reliability demanded by manufacturing environments—now and in the immediate future.