```html Harness the Power of Computer Vision to Understand Cycling Near Miss Dynamics Cycling in urban environments can be both exhilarating and perilous. While many cities are working hard to create safer cycling infrastructure, near misses—those heart-stopping moments where an accident almost occurs—remain a significant concern. This is where technology steps in, particularly computer vision , to offer groundbreaking insights into the dynamics of these near-miss incidents. What is Computer Vision? Computer vision is a branch of artificial intelligence (AI) that involves training computers to interpret and make decisions based on visual data. By analyzing images and videos, computers can identify objects, track their movements, and even understand their context. When applied to cycling safety, computer vision can: Identify congested and dangerous intersections Analyze the behavior of drivers and cyclists Detect patterns leading to near-miss scenarios Provide recomm
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