Adaptive Computer Vision is an AI-based approach that enables vision systems to adjust their detection, recognition, and analysis based on changing environments, objects, lighting, or incoming data. It helps computer vision models remain effective as real-world conditions evolve.
Adaptive Computer Vision improves accuracy, flexibility, and real-time responsiveness. It is used in security and surveillance, autonomous vehicles, manufacturing, healthcare, retail, and smart cities. Related technologies include AI, machine learning, deep learning, object detection, image recognition, and video analytics. Related terms include Computer Vision, Adaptive AI, Object Tracking, and Intelligent Video Analytics.
