Echelon Unveils InSight Cognitive Vision Technology to Enhance Safety and Reduce Outdoor Lighting Cost

Internet of Things pioneer Echelon Corporation unveiled a patent-pending cognitive vision-based technology that can enable a wide range of smart city and smart campus applications.  Echelon InSight™ utilizes artificial intelligence in vision-enabled edge devices, optimized for Industrial Internet of Things (IIoT) applications.

With InSight, traffic data is collected and processed at the edge of the network instead of on a central server, and uses the Lumewave by Echelon® lighting platform to transmit traffic information, reducing response time and improving reliability.  This architecture enables faster action in response to changing conditions and minimizes network bandwidth requirements.

Vision-Enabled Traffic-Adaptive LED Street Lights. (Image: Echelon)

The first application of Echelon's new technology will be to provide traffic-adaptive lighting in Spokane, Washington. The cognitive vision system will be deployed on traffic intersection streetlights where it will analyze traffic flows and automatically adjust light levels to enhance safety while reducing energy consumption and maintenance costs.

With InSight, each unit analyzes video streams locally and makes decisions about what light levels to set based on traffic volumes and conditions, triggering higher levels during peak hours and lowering light levels during non-peak hours. The solution leverages Echelon's industry-leading connected streetlight control system, along with the trend by cities and campuses to upgrade to LED lighting.

LED streetlight conversions typically reduce electricity consumption by 50 percent while maintaining the same or better light levels.  Adding Echelon's connected lighting control system can reduce consumption by an additional 30 to 40 percent by allowing intelligent traffic-adaptive lighting driven by Echelon InSight.

Traditionally, cities have used a wide variety of traffic monitoring systems such as in-ground loops, cameras, radar, or infrared to detect traffic for timing traffic signals. These are typically closed loop systems and provide limited information for traffic signal timing only.  Lumewave by Echelon's traffic adaptive lighting application takes traffic detection one step further by providing direct integration with area street lighting.

Additionally, the InSight Cognitive Vision System captures and analyzes traffic patterns right at the camera and then provides traffic volume data to a local gateway or SmartServer to adaptively dim or brighten lights. Critical traffic data is also passed to a Central Management System via Lumewave by Echelon network.

"Echelon's new solution will deliver more efficient lighting sequences at a lower cost, so we're excited to be testing it. The Echelon team got up to speed very quickly on the way a signal cabinet works and expertly integrated their traffic adaptive lighting into our existing system," said Adam Miles, Associate Traffic Engineer, City of Spokane. "The technology will allow us to reduce energy costs through existing traffic detectors while we analyze data from the new InSight cameras and compare their ability to replace traditional traffic detection tools."

"An intelligent street lighting platform can serve as the backbone of a smart city," said Sohrab Modi, Chief Technology Officer and Senior Vice President of Engineering, Echelon. "Municipalities and campuses need to leverage existing infrastructure when implementing IoT systems to minimize costs and maximize ROI. Spokane is a test bed for emerging technology and its leaders recognize the environmental and safety advancements that this type of intelligent infrastructure can bring to its constituents. Once the technology is in place, city managers can add IoT applications to further improve public safety and enhance quality of life as new challenges arise."

"For instance," Modi adds, "by using Echelon's innovative traffic-adaptive street lighting application, a city could avoid the need to deploy a separate, costly broadband network that would be required by a conventional closed-circuit TV monitor system that would send video streams to a central system for analysis."

In the future, additional InSight applications will offer more traffic analytics, including vehicle classification and vehicle speed maps, signal timing functions, and solutions to other related problems, like parking.

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