Human Machine Collaboration: Redefining Visual Testing with AI

This 23-minute conference talk from DevConf.IN 2025, presented by Suriya Prakash, explores how AI-powered visual testing is transforming software quality assurance. Discover the challenges of traditional manual visual testing methods and learn how artificial intelligence offers more efficient alternatives while maintaining human oversight. Dive into core visual regression testing principles including image comparison algorithms that detect subtle discrepancies, machine learning models that adapt to different applications' visual characteristics, and the crucial human-in-the-loop approach that complements rather than replaces human expertise. Gain valuable insights on leveraging AI to improve development processes, including how it reduces testing time, helps identify visual defects earlier, and accelerates time to market by automating visual testing while minimizing regression risks. Access accompanying slides and additional resources through the provided link to enhance understanding of this human-machine collaboration in visual testing.