How Image Processing and Edge-Aware Model Training Improve Vision Analytics Accuracy
By Anirudh R Rao & Hrithik B | WG Tech Solutions Introduction: When Vision Systems Meet the Real World In real-world deployments, computer vision systems rarely fail because of weak neural networks. They fail because the real world is messy. Lighting conditions change throughout the day, cameras vibrate due to wind or machinery, weather introduces rain and fog, and bandwidth constraints introduce compression artifacts. These factors significantly alter pixel distributions long before any AI...
