Traffic counting
Use cases for traffic scenarios
How to successfully perform traffic counts on specific urban roads and highways, including the classification of objects according to our (sub)classes. You want to know the traffic situation of an urban road or highway? Our software is the solution to record the number of all objects, broken down by object type (class) and direction.
What data can be generated?
For this use case, our software provides you with all the information you need for traffic counting. The counts of the vehicles including their classification can be recorded. The counts are divided into two directions (in/out). Furthermore, several counts can be carried out in one camera, e.g. the separate counting of each lane. In addition, it is possible to add a second counting line, calibrate the distance between them and estimate the speed of vehicles passing both lines. These classes are recognized by our software.
What needs to be considered for a successful analysis?
Camera setup
In the table below you will find detailed information on the requirements, settings and positioning of the camera.
| Setting | Recommended |
|---|---|
Pixels Per Meter is a unit of measurement used to define the amount of potential image detail a camera provides at a given distance. | >30 PPM (object classes car, truck) <60 PPM (object classes person, bicycle, motorbike) Using the camera parameters defined below ensures that the minimum required PPM value is achieved. Tip: Use the lens calculator from Axis or a generic lens calculator. |
Video resolution | 1280 × 720 Pixel |
Video protocol/codec | RTSP/H264 |
Focal length | 2.8 mm - 12 mm |
Camera mounting - distance to object center | Object classes car, truck: 5-30 m (2.8 mm Focal length) 35-100 m (12 mm Focal length) Object classes person, bicycle, scooter: 3-12 m (2.8 mm Focal length) 25-50 m (12 mm Focal length) |
Camera mounting - mounting height | Up to 10 m Note: Mounting higher can help to minimize obstruction by large objects. |
Camera mounting - vertical angle to the object | <50 ° Note: The correct vertical angle to the object should be achieved by setting the correct distance to the vehicle and the optimum mounting height. |
0 ° - 90 ° Note: An angle of approx. 15 ° provides better results for classification, as more object details are visible (e.g. wheels, axles, etc.) |
Specifications for the environment
Object speed | < 130 km/h |
Day/Night/Lighting | During the day/well lit/night vision |
Indoor/outdoor use | Exterior |
Expected accuracy (counting + classification if all environmental, hardware and camera requirements are met) | Counting >95 % (vehicles, bicycles) Classification of main classes: >95 % Classification of sub classes: >85 % |
Hardware specifications
Supported products | BMA, mobil BMA,B101, B401 |
Frames Per Second (fps) | 25 |
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