Why AI Computer Vision Performs Well in Testing but Fails in Reality

Explore why computer vision models often achieve impressive laboratory accuracy but struggle in real-world production. Learn how lighting changes, background variability, equipment differences, and operational conditions affect AI performance. Discover strategies for designing resilient computer vision systems that maintain accuracy, stability, and business value after deployment.Read Now: – https://agixtech.com/insights/why-computer-vision-fails-in-production-in-2026-the-5-mistakes-that-kill-roi/