Improve machine vision recognition rate with practical tips on lighting, optics, data quality, calibration, model selection, and validation for reliable automation.

Machine vision recognition rate dropping despite good cameras and lighting? Discover the hidden process, software, and benchmarking issues that cut accuracy—and how teams can restore reliable performance fast.