SensaVision Web Application

SensaVision’s Web Application and Data Analytics provides data visualizations in a real-time dashboard view, providing daily traffic counts, historical traffic counts, and location-specific data. Data can be reviewed per lane, the cardinal direction, and filter counts by object classification type. Generate visualizations from a time based on timestamps for per hour, per day, multiple days, weekly, monthly, and annual analysis. 

The web application comes with interactive maps and predictive analytics of traffic flow and safety analysis, such as near-miss collisions. Our interactive tracking map allows customers to assess the movements of objects from the street, sidewalk, curb, crosswalk, and bike lanes. 

SensaVision’s analytics provide practical recommendations about traffic and safety at intersections. Analytics includes safety data such as near-miss collision predictive analytics, metadata of traffic volume prediction, and Signal Phase and Timing (SPaT) analytics. Our safety countermeasures and clustering algorithms automatically generate recommendations and sort them out by priority.

SensaVision Data Analytics

SensaVision collects and analyzes real-time roadway and traffic data. LiDAR, radar, and camera data provide 2D and 3D real-world views of vehicles, pedestrians, cyclists, and other mobility and non-mobility data with object counts, tracking, and analytics. The data is time series based, and there’s no data collection of personal identification information. Data is shared in raw feeds or processed JSON format.


We collect data at intersections, beyond intersections, mid-block, parking lots, and other locations to provide viable and unique data to assess and understand risks, traffic flow analytics, counts, volume, predictive AI analytics, and roadway safety. 


Data collected is processed with traffic, signal, and roadway data to provide driver and pedestrian movement analytics and traffic analysis. Customers use data analytics to improve pedestrian safety for mobility applications, design safer roads, foster better decision-making for autonomous vehicles, and prepare for the future of intelligent transportation system applications in Infrastructure-to-Everything (I2X) communications.