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University Transportation Centers

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Accurate data is essential to good research

University Transportation Institutes need precise and reliable information to understand traffic dynamics, analyze behavior patterns, and develop innovative solutions to improve safety and efficiency. Omnisight offers advanced Fusion Sensors to address the challenges faced by University Transportation Institutes, empowering researchers with comprehensive and real-time traffic data for cutting-edge studies and innovation.

Monitor More than just cars
Traditional traffic monitoring systems often cannot provide a complete and detailed picture of the traffic environment. These systems can miss critical information such as pedestrian movements and cyclist behavior.
Flexible Data Formats
Existing systems often provide data in proprietary or rigid formats, making it challenging for researchers to integrate and analyze the information using their preferred tools and methodologies.

IN-DEPTH CLASSIFICATION

By combining HD3D radar with HD video, Fusion Sensor provides a detailed and accurate view of the traffic environment, allowing for precise detection and classification of vehicles, pedestrians, bicycles, and other objects.

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ADVANCED PERCEPTION

Fusion Sensor's advanced perception capabilities, leveraging radar's precise distance and velocity measurements and video's high-resolution object classification, enable researchers to track object movements, predict behaviors, and analyze complex traffic scenarios with accuracy.

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YOUR DATA YOUR WAY

Fusion Sensor offers customizable data outputs and seamless integration with existing infrastructure and software systems, allowing researchers to integrate the data into their preferred analysis tools and methodologies.

INDUSTRY-LEADING ACCURACY

Ensure precise and trustworthy data for research projects and enable researchers to make informed decisions and draw reliable conclusions with Fusion Sensor's

98.7% Accuracy

Fusion Sensor can provide University Transportation Centers with the ability to: 

  • Conduct comprehensive studies on traffic flow dynamics, congestion patterns, and the impact of various traffic management strategies.
  • Analyze pedestrian and cyclist behavior, interactions with vehicles, and developing safer infrastructure designs based on accurate and detailed data.
  • Evaluate the effectiveness of connected and autonomous vehicle technologies in real-world scenarios and develop advanced traffic simulation models using highly accurate data.
  • Investigate the environmental impact of traffic patterns and explore sustainable transportation solutions to promote eco-friendly mobility.
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