Computer vision technology is a subfield of computer science and artificial intelligence (AI) where machines are designed to interpret and make decisions based on visual data. This technology enhances human capabilities in understanding and interpreting the visual world. Computer vision has the ability to process and analyze vast amounts of visual data in real time, which can be collected from various sources such as satellites, drones, and ground-based sensors. Real-time processing and analysis of visual data allow for immediate insights and actions, enabling more informed decisions that can contribute to reducing carbon emissions and aiding in general climate-change mitigation efforts by identifying trends, assessing impacts, and monitoring changes in the environment efficiently. 

Dr. Polat Goktas is a member of the IEEE Young Professionals Climate and Sustainability Task Force. He is currently a Senior AI Researcher at University College Dublin’s School of Computer Science and Ireland’s Centre for Applied Artificial Intelligence (CeADAR) where he integrates AI with life and environmental sciences to develop innovative solutions for real-world problems. 

Dr. Goktas answers a few questions on computer vision technology and its role in helping to better understand the environment while developing viable solutions to climate-change problems.