Enhancing Traffic Law Enforcement through Deep Learning-Based Detection of One-Wheeler Motorcycle Stunts
One of the earliest deep learning-based systems specifically designed for automated recognition and enforcement-ready documentation of one-wheeler motorcycle stunts is presented, establishing a viable and resource-efficient baseline for AI-driven traffic law enforcement in developing regions.