arXiv Computer Vision September 25, 2026 By Keya Li, Jahnavi Malagavalli, Lamha Goel, Tong Wang, Kara M. Kockelman

Smartphone-Based Method for Automated Speed Enforcement

Read the original on arXiv Computer Vision →

The paper presents a smartphone-based system that uses computer vision to automatically estimate vehicle speed and identify vehicles by license plate, make/model, and color. Experiments on a Brazilian dataset and real-world recordings in Austin, Texas show moderate recognition rates: 46% for license plates, 60.8% for color, 48.6% for make, and 16.89% for make/model. The study also discusses legal, technological, and practical considerations for deploying such smartphone recordings in traffic enforcement.

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