Set-up Barrierless Parking with ANPR
How to succeed in setting up an Entry/Exit parking system with ANPR
Last updated
How to succeed in setting up an Entry/Exit parking system with ANPR
Last updated
You have a parking space where you want to know your utilization and parking times of your customers, then you can use the SWARM solution as following.
For this use case, SWARM software is providing you with any relevant data for your Entry/Exit parking space. The solution is gathering the number of vehicles in your parking space as well as the number of vehicles entering and exiting your parking space for customizable time frames.
The vehicles are classified in any classes the SWARM software can detect. Nevertheless, consider that the following configuration set-up is optimized to detect vehicles and not people and bicycles.
Thanks to the License plate recognition, the parking duration of your customers will be analyzed. On top of the License plate information, license plate origin country as well as license plate area codes are available as meta information. The country codes are according to ISO 3166 Alpha 2 standard. The country classification is working with excellent accuracy of 99%.
Find below some general settings for the installation of this use case. As the automatic number plate reading needs some more detailed information you will find additional and more detailed information on how to set it up in the following page:
Set-up guide and recommendations - ANPREspecially for Automatic Number Plate Recognition (ANPR) the camera choice and positioning are essential.
The requirements for accurate number plate recognition can be aligned with respective norms for the accurate operation of (human-based) surveillance systems.
The standards give a recommended pixel-per-meter measure (“pixels on target”), to reliably perform that task (by a human). The relevant category for clear reading of license plates/identification of a person “without a reasonable doubt” is “identify”. A Bullet camera is 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. | > 250 PPM To clearly read a license plate, at least 250 PPM are required. Using the camera parameters defined below ensures to achieve the minimum required PPM value Tip: Use the Axis lens calculator or generic lens calculator. |
Resolution | min. 1920×1080 (H264) |
Focal Length | min 3.6-8 mm motorized adjustable focal length recommended |
Mounting | Distance and height of installation
Note: setting correct distance to license plate and camera mounting height should result in the correct vertical angle to license plate Horizontal angle to license plate
|
Exposure / Shutter speed | max. 1/250 for objects not moving faster than 40 km/h |
| Manufacturer | Model | Link | Note |
|---|---|---|---|
Hikvision | Bullet Camera DS-2CD2645FWD-IZS | Motorized varifocal lens |
European countries | |
Licence plate types | ‘standard’ car license plates (520 by 120/110 mm) Note: square two line license plates (e.g. motorbike) are not supported |
Object velocity | < 40km/h with low-light conditions |
Area of focus | Single lane when camera mounted on the side; Two lanes when mounted above the center of both lanes |
Day/Night/Lighting | Daytime or well illuminated only (min 500 lux) |
Indoor/Outdoor | Indoor & Outdoor |
Expected Accuracy (Counting + License Plate) (when all environmental, hardware and camera requirements met) | >90% Only vehicles are considered. For parking spaces people, bicycles and motorbikes are not part of our test scenarios as they don't occupy parking spaces. |
The License plate recognition is not supported on the P100 SWARM Perception boxes. So for this use-case, the P401, P101 SWARM Perception box, or a VPX deployment option with NVIDIA-based hardware is needed.
Examples:
