Smart transportation systems are inherently linked to the analysis of data gathered through AIoT technologies.
The image quality captured by network surveillance cameras plays a crucial role in determining the accuracy of such analyses. While many assume that high resolution cameras always yield superior image quality, this is not necessarily the case. Even in two million-pixel camera views, factors such as noise and light can impact the final image quality depending on the camera's own processing capabilities. As such, it is vital to consider not just resolution, but also the camera's image processing capabilities when selecting surveillance equipment for intelligent transportation systems.