intuVision VA’s patented video analytics detects vehicles speeds with high accuracy—across highways, city streets, parking lots, and private roads. Designed for usability and precision, intuVision speed detection empowers both public and private organizations to improve road safety, monitor traffic, and collect meaningful data without the need for invasive roadside equipment.
Speed Detection is available through both intuVision VA Traffic and Security modules, and automatically detects individual vehicle speeds and reports data by lane and vehicle type, or aggregates speed data for average speeds. Lane-specific speed detection is made simple with our easy-to-use lane-marking templates. Results can be viewed in real-time, exported in various formats, or pulled into dashboards through our Web API.
With customizable alerts and flexible configuration, the system can be tailored for everything from city traffic analysis to enforcing speed limits in residential neighborhoods or corporate campuses.
An unobstructed video camera input fed into intuVision VA is all that is needed — no in-ground sensors or costly installation.
For organizations focused on safety enforcement, intuVision VA supports real-time alerts for speeding vehicles. Notifications can include the time of the event, detected speed, image snapshots and video clips—enabling immediate action or review at a later time. This facilitates effective intervention with repeat offenders on campus driveways or parking areas where vehicles are registered and known.
intuVision VA supports both live video and recorded footage. For post-processing, the system can analyze video up to 20x faster than real-time—making it ideal for traffic studies with quick project turnarounds. All results data can be reviewed through the intuVision Review App or integrated into external applications via API.
Beyond real-time alerts, intuVision VA provides detailed data aggregation for traffic studies. intuVision VA can report average speeds by vehicle type and lane, helping inform speed limit changes, traffic calming efforts, or targeted enforcement.
intuVision VA offers two powerful detection modes, ensuring accurate results regardless of camera view or scene complexity:
With dedicated modes for both day and night, intuVision VA reliably detects speeds around the clock. At night, the system intelligently switches to headlight and taillight detection to maintain accuracy even in low-light conditions.
intuVision VA is licensed per video stream input for real-time use or by the hour for post-analysis, with options tailored to both permanent smart city deployments and traffic study data collection installations.
intuVision VA is compatible with all ONVIF-compliant cameras and major VMS platforms. The only requirement is a clear, unobstructed view of the roadway.
Best accuracy is achieved with:
Recommended camera view examples:
Achieved over 95% accuracy with a high, tethered drone. Top-down drone video with a wide field-of-view works very well for speed detection in multiple regions at a time.
Achieved over 95% accuracy with a high mount camera, zoomed in to look at region of interest. With the far and high view-angle, accurate speed detection across many lanes in multiple directions is possible.
Achieved 90-95% accuracy with a relatively high camera and wider field of view, as vehicles travel a good distance in the middle section of the view despite the lens distortion on the edges. /p>
Achieved about 90% accuracy with a relatively low oblique view. The look angle is lower but allows tracking vehicles traveling a reasonable distance in the first two lanes. Vehicles in the second lane occasionally get obstructed by trucks in the first lane resulting in loss of accuracy.
intuVision VA speed detection is being used around the world for Smart City deployments, traffic studies, and to secure neighborhoods and parkinglots as highlighted below. Please contact us for more information on these use cases and how our solution might apply to your vehicle counting scenario.
Customer is using intuVision VA Speed Detection along with classification to estimate the amount of pollution being generated. As different types of vehicles generate different levels of pollution depending on their speed - calculated speed and classification was ingested into the customer's third-party application as raw data and included in their calculations.
In conjunction with intuVision VA Speed Detection, this customer is also using intuVision congestion detection to track periods of time when vehicles come to a stand-still. As speed calculations rely on moving vehicles, this was used to ensure only accurate speed data of standard traffic motion was used in their calculations. .
Customer had received multiple complaints about specific neighbors dangerously breaking the speed limit in their gated community, but without proof to back up the claims, nothing was able to be done. Using a short-term installation of intuVision VA and a camera mounted on the front building, needed proof was collected to ensure that the person speeding was confronted. Recording the video at a high resolution and sub-sampling the intuVision VA processing, was enough to give a clear view of vehicle's license plates.
A parking garage wanted to ensure that customers do not speed dangerously in the garage, causing potential accidents and property damage. Despite low camera angles and variable light from headlights, intuVision VA speed detection was successfully implemented. Camera views to allow not only speed detection, but also a view of the vehicle's license plate allowed intuVision email notifications with snapshots to show the estimated speed of the vehicle and their license plate. As vehicles paid to exit the parking lot, those who were detected as speeding could be approached or black-listed from future usage.
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