Econolite, part of Umovity, has announced the introduction of Autoscope OptiVu, a new high-definition (HD) video detection solution, incorporating the latest and most advanced detection algorithms powered by AI and machine learning to support current and future traffic management and ITS.
Autoscope OptiVu provides real-time traffic data collection. Its 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 and programs.
The new Power Over Ethernet (PoE) HD camera and video processor provide highly accurate real-time vehicle, pedestrian, and bicycle detection, as well as classification, full-screen object tracking, and counts.
“Autoscope OptiVu is designed to provide superior detection capabilities and gather real-time traffic data in support of emerging predictive and Smart City applications,” says Sunny Chakravarty, Econolite’s vice president of engineering. “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.”
Autoscope OptiVu is the latest addition to Econolite’s portfolio of multi-tasking detection sensor solutions, which includes Autoscope Vision and EVO RADAR above-ground sensors. With its comprehensive suite of detection sensors, Econolite can work independently and collaboratively with other vendors to enhance data-driven ITS predictive efficiency and to power safety applications.
As with Econolite’s other sensors, OptiVu integrates seamlessly with Centracs +Detect for advanced, cloud-based data reporting, analytics, and monitoring capabilities. To learn more about Econolite’s suite of sensor solutions.
