The potential applications for machine vision are increasing faster than the costs are decreasing. The ability to follow moving objects is a key to machine vision and is the foundation to tracking. The principles of inspection or machine control are essentially unchanged, but the temporal environment introduces increased memory and bandwidth requirements for host processors, and increased performance requirements for the feature extraction processors. Recent developments in hardware are allowing more robust tracking systems at increasingly affordable prices. We'll explore these topics are greater length in the text which follows.
Two dimensional Area Parameters are providing adaptable and robust in machine vision applications when implemented with hardware algorithms to insure performance. Let's review the basics of Area Parameter implementation, then briefly view some applications: steel web inspection, road and pavement inspection, traffic analysis, surface analysis for fine coatings, Non Destructive Testing, Security, Production Laser Control, Currency Inspection, Automated Microscopy, and Agriculture and Picking.
Vision-based sensors detect a variety of defects with comparative ease, and inspect 100% of the material. Current commercial capabilities using Area Parameter feature extraction techniques are examined. Hardware used in these systems is reviewed with improvements in feature extraction bandwidth considered.
Machine vision applications require fast, robust object descriptors. Area Parameter Acceleration offers these, based on seed parameters and connectivity from hardware. This strong approach to object analysis and machine vision will get stronger with upcoming Area Parameter hardware products.