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This invention describes a system that analyzes images of roads to detect specific traffic situations. It works by first identifying a region of interest, potentially by looking for a prominent color, then simultaneously using two different computer vision systems to find two distinct types of objects within that region. If these objects are associated with a known traffic event, their individual confidence scores are combined to determine the likelihood of that situation occurring.
Why it matters: Filed before the widespread availability of highly optimized, real-time object detection models and powerful edge computing. Today, advancements in deep learning and specialized hardware make implementing and deploying such a system for real-time traffic analysis significantly more feasible and efficient.
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