BMA/BMC to control traffic light signaling.
Our BMA with the associated features enables you to communicate with traffic signal systems via relays (potential-free contacts) in combination with the BMC . The following applications can be covered in this way:
"Smart Prio System": Prioritization of certain traffic classes and ensuring smooth traffic behavior in real time (e.g. environmentally sensitive control, public transport registration, such as pedestrians, cyclists, e-scooters through to heavy traffic)
Simplify infrastructure maintenance: Replace multiple induction loops with a single BMA BMC. The installation does not require any excavation work and significantly reduces maintenance costs.
In the table below you will find detailed information on the requirements, settings and positioning of the camera
| Setting | Recommended |
|---|---|
Supported products
BMA BMC
Frames Per Second (fps)
12
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.)
Object speed
< 40 km/h
Day/Night/Lighting
During the day/well lit/night vision
Indoor/outdoor use
Outdoor application
Expected accuracy(detection + classification, if all environmental, hardware and camera requirements are met)
detection > 95 % Classification of main classes: > 95 % Classification of sub classes: > 85 %
Camera mounting - horizontal angle to the object
