Analysis
AI-powered traffic camera systems rely heavily on visual recording, but nighttime conditions create serious limitations. Low light, headlight reflections, windshield glare, and motion blur can all affect image quality. This increases the likelihood of an inaccurate recording, such as misidentifying objects or license plates and incorrectly estimating a vehicle's position in its lane.
At a legal level, these weaknesses are particularly significant. When visibility conditions affect the reliability of a recording, the validity of the citation is called into question. By reviewing the environmental conditions, the calibration data, and the evidence itself, it can be shown that the required accuracy standards were not met - strengthening the dispute and increasing the chances of having the ticket dismissed.