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
| 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 | < 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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