Example Concept: Adaptive vision systems leverage algorithms that adjust camera exposure settings and apply image processing techniques like histogram equalization to maintain consistent image quality. By incorporating machine learning models, the system can dynamically learn and predict optimal settings based on environmental cues, thus improving object detection and tracking accuracy in diverse lighting scenarios.