Before the rise of AI-powered detection, we relied on what is now called traditional machine vision (MV). Any technically competent person could set up a processor, download a detection algorithm from the cloud, plug in a video source and start detecting vehicles. These systems have been prevalent over the years and appeared effective, but often relied on an optimal field of view and near-perfect weather conditions.
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