Set-up Single Space/Multi Space Parking

Gather real time occupancy state about specific parking spaces - free or occupied

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:

What data can be generated?

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.

Camera placement

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.

General & easy recommendations for deciding where to place the camera:

  • 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.

Get a better overview for installations with more details on camera distance to objects and mounting height:

pageStandard examples

What needs to be considered for a successful analysis?

Find detailed information about camera requirements/settings as well as camera positioning in the table below.



Pixels per Meter (PPM)

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


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



Environment requirements

Object velocity

0 km/h



Nighttime (Only well illuminated or night vision mode)


Indoor or Outdoor

Expected Accuracy

(when all environmental, hardware and camera requirements met)

>95% Classification is not considered

Hardware Specifications

Supported Products

VPX, P401, P101/OP101, P100/OP100

Frames Per Second (FPS)


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