Adaptive traffic control
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.
What needs to be considered for a successful analysis?
In the table below you will find detailed information on the requirements, settings and positioning of the camera
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)
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
< 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 %
Hardware specifications
Supported products
BMA BMC
Frames Per Second (fps)
12
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