Set-up Single Space/Multi Space Parking
Gather real time occupancy state about specific parking spaces - free or occupied
Last updated
Gather real time occupancy state about specific parking spaces - free or occupied
Last updated
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.
Good camera placement and understanding of the following section are key for accurate detections for Single Space Parking.
The main challenge in planning a camera installation is to avoid potential occlusions by other cars. We advise using the Axis lens calculator or generic lens calculator 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 | |
|---|---|
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) Tip: Use the Axis lens calculator or generic lens calculator. |
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 |
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.
