Set-up Queue Length Detection
How to get insights on traffic congestions in terms of data generation, camera set up and Analytics options.
Next to the traffic frequency at given locations, you are wondering about the length of a queue when traffic congestion is given. In combination with the speed of the detected vehicle, you can get proper insights into the length and speed of the current queue.
What data can be generated?
For this use case, SWARM software is providing you with the most relevant traffic insights - The counts of vehicles including the classification of the SWARM main classes can be covered. On top, you have the opportunity to add a second counting line, calibrate the distance in between and estimate the speed of the vehicles passing both lines. By combining this with different Regions of Interest (RoI) you can retrieve the needed insights into traffic congestion.
For traffic frequency, all SWARM main classes can be generated. Depending on the camera settings, we can detect present vehicles up to 70 m.
What needs to be considered for a successful analysis?
Possible cameras for this use case
Find detailed information about camera requirements/settings as well as camera positioning in the table below.
Set up parameters | 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 | min. 2.8 mm variofocal lense* |
Camera mounting - distance to object center | 5–70 meters* |
Camera mounting height | 3–8 meters |
Camera mounting - vertical angle to the object | <50° Note: setting the correct distance to vehicle and camera mounting height should result in the correct vertical angle to the vehicle |
0° - 90° |
*The higher the distance of the objects to the camera, the higher the focal length, the higher the dead zone. In order to achieve the needed PPM for the detection of objects (30 PPM, please consider the following illustration and table:
Object Distance | Focal Length | Dead Zone |
---|---|---|
30 | 2,8 mm | 2,8 mm |
50 | 5 mm | 5 m |
70 | 7 mm | >8 m |
Possible cameras for this use case
Camera | Link | |
---|---|---|
HikVision | DS-2CD2646G2-IZS |
Environment specification
Object velocity | < 130 km/h |
Day/Night/Lighting | Daytime/Well illuminated/Night vision |
Indoor/Outdoor | Outdoor |
Expected Accuracy (Counting+Classification) (when all environmental, hardware, and camera requirements are met) | Counting >95% (vehicles, bicycles) Classification of main classes: >95% Classification of subclasses: >85% |
Hardware Specifications
Supported Products | VPX, P401, P101/OP101, P100/OP100 |
Frames Per Second | 25 |
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