Echelon Corporation has completed initial field tests of another new application for its InSight Cognitive Vision System, this time validating the ability of the intelligent camera to accurately and inexpensively count traffic on city streets. In a deployment in Spokane, Washington, the new application captured data that matched or exceeded the accuracy of conventional and manual counters, day or night. The new streetlight-based system is less expensive and easier to deploy than conventional roadway surface-based counters, and because the system communicates over the existing lighting network, it can be deployed on any streetlight, not just those in intersections adjacent to traffic control boxes. The InSight system deployed in Spokane included an adaptive learning capability to accommodate differences in each camera's deployment for light levels, shadows, and reflections. Echelon's new InSight application leverages access to the Echelon Lumewave lighting control network, allowing placement of the self-learning system on any streetlight instead. Moving the traffic counter from the roadway surface to a streetlight simplifies deployment, and moves the sensor into a more versatile location. And by leveraging a city's existing connected lighting platform, the traffic counting application based on Echelon's InSight technology offers smart cities a lower cost alternative in managing energy use as well as a platform to broadly collect traffic data.