Set-up Single Space/Multi Space Parking
Gather real time occupancy state about specific parking spaces - free or occupied
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Gather real time occupancy state about specific parking spaces - free or occupied
Last updated
Was this helpful?
You have a parking space where you simply want to know if your specific parking spaces are occupied or free, SWARM provides a perfect solution for doing that quite easily. See yourself:
For this use case, SWARM software is providing you with any relevant data for Single Space detection within your parking space. The solution is to provide you with the occupancy state of each of your configured parking lots.
The single space detection will give you information about the occupancy state of your parking lot (free or occupied) as well as the information about the object in your parking space, including the classification. Nevertheless, consider that the following configuration set-up is optimized to detect vehicles and not people and bicycles. On top the classification is depending on the camera installation, for a more top-down view the classification will be less accurate.
The main challenge in planning a camera installation is to avoid potential occlusions by other cars. We advise using the or and testing your parking setup for the following conditions:
put a car on one of the parking spaces
put a large vehicle (high van, small truck - the largest vehicle that you expect in your parking) on all parking spaces next to your car
if you still can see >70 % of the car, then this parking spot is valid.
Parking spots have to be fully visible (inside the field of view of the camera). We do not guarantee full accuracy for cropped single parking spaces.
Avoid objects (trees, poles, flags, walls, other vehicles) that occlude the parking spaces. Avoid camera positions, where cars (especially high cars like vans) occlude other cars.
Occlusions by other parking cars, mainly happen if parking spaces are aligned in direction of camera-alignment lines.
Find detailed information about camera requirements/settings as well as camera positioning in the table below.
Recommended
Pixels Per Meter is a measurement used to define the amount of potential image detail that a camera offers at a given distance.
> 60 PPM
Using the camera parameters defined below ensures to achieve the minimum required PPM value)
Camera video resolution
1280×720 pixel
Camera video protocol/codec
RTSP/H264
Camera Focal Length
2.8mm - 4mm
Camera mounting - distance to object center
5-30 m (cars in the center of the image)
For 5 meters distance we guarantee a high accuracy for 3 parking spaces, aligned orthogonal to the camera.
The higher the distance, to the camera, the more parking-spaces can be monitored.
Camera mounting height
Indoor: 2,5 - 5m Outdoor: 2,5 - 10m Higher is better. Vehicles can potentially occlude the parked cars, hence we recommend higher mounting points.
Wide Dynamic Range
Must be enabled
Night-mode
ENABLED
Object velocity
0 km/h
Day/Night/Lighting
Daytime
Nighttime (Only well illuminated or night vision mode)
Indoor/Outdoor
Indoor or Outdoor
Expected Accuracy
(when all environmental, hardware and camera requirements met)
>95% Classification is not considered
Supported Products
VPX, P401, P101/OP101, P100/OP100
Frames Per Second (FPS)
5
Tip: Use the or .
The configuration of the solution can be managed centrally in . Below, you can see how to configure a Single Space Parking use case to get the best results
In order to start your configuration, take care that you have configured your
If the distance from the camera to the object (parking space) is higher, the perspective will have a higher impact and you need to adapt the ROI as well according to the perspective. In order to support the calibration in the best way, you can use the calibration mode which can be activated on the top right of the configuration frame. There you will see the detection boxes and center points of the vehicles which are at that moment in the camera. So take care to configure the RoI accordingly that the center point will be in the RoI.
You can visualize data via in different widgets.
If you would like to integrate the data in your IT environment, you can use the . In Data Analytics, you will find a description of the Request to use for retrieving the data of each widget.
