Skip to main content

Econolite unveils Autoscope OptiVu

Video detection solution designed for integration into future ITS applications
By Adam Hill March 20, 2025 Read time: 1 min
Product includes real-time vehicle, pedestrian and bicycle detection, as well as classification, full-screen object tracking and counting

Econolite has launched Autoscope OptiVu, the latest addition to its Autoscope line of high definition (HD) video detection solutions. 

“Autoscope OptiVu is designed to provide superior detection capabilities and gather real-time traffic data in support of emerging predictive and smart city applications,” explains Sunny Chakravarty, Econolite’s vice president of engineering. 

The manufacturer says flexible and robust single-point edge processing enables high levels of performance and ease of integration "into future connectivity and ITS upgrades, including predictive safe system applications". 

The new Power Over Ethernet HD camera and video processor are designed for accurate real-time vehicle, pedestrian and bicycle detection, as well as classification, full-screen object tracking and counting.

“By leveraging advanced detection AI algorithms and deep machine learning to perform image classification and detection of objects and to track those objects through time, OptiVu delivers the critical situational awareness and resolution needed for current and future dynamic multimodal network operations,” Chakravarty says.

Econolite, part of Umovity, also has Autoscope Vision and Evo Radar above-ground sensors in its portfolio. OptiVu integrates with Centracs +Detect for advanced, cloud-based data reporting, analytics, and monitoring capabilities.

For more information on companies in this article

Related Content

  • IRD trusts in AI for traffic count and classification
    October 13, 2020
    IRD has announced its iTheia video-based traffic counting and classifying system that uses artificial intelligence (AI). Instead of classifying vehicles based solely on axle spacing or vehicle length parameters, iTheia classes vehicles based on visual input and a machine learning algorithm.
  • Flir expands Marseille’s tunnel vision
    November 12, 2014
    Marseille’s city authority has added the monitoring of a second tunnel to the existing network with a new approach towards video management. Measuring 1.5km in length, the double-deck Prado Sud tunnel extends Marseille’s existing 2.5km Prado Carénage tunnel towards the southern part of the city. While it was logical to use a common control room and to use the latest detection and monitoring systems in the new tunnel, it was deemed too disruptive and costly to completely upgrade the existing tunnel.
  • Autonomous boats clear Dutch traffic
    November 30, 2021
    Collaboration between MIT and AMS Institute developed vessels as aid to urban mobility
  • Minneapolis-St. Paul’s Go-To gets the Cubic touch
    April 23, 2024
    Contactless fare system is centrepiece of upgrade to transit ticketing in the Twin Cities