  With the growing demand of real-time traffic monitoring nowadays,
software-based image processing can hardly meet the real-time data processing
requirement due to the serial data processing nature. In this paper, the
implementation of a hardware-based feature detection and networking system
prototype for real-time traffic monitoring as well as data transmission is
presented. The hardware architecture of the proposed system is mainly composed
of three parts: data collection, feature detection, and data transmission.
Overall, the presented prototype can tolerate a high data rate of about 60
frames per second. By integrating the feature detection and data transmission
functions, the presented system can be further developed for various VANET
application scenarios to improve road safety and traffic efficiency. For
example, detection of vehicles that violate traffic rules, parking enforcement,
etc.
