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Traffic Count

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Gain insights into pedestrian traffic by location thanks to OWS AI line crossing analytics to optimize staffing, enhance security and make other decisions that directly improve your bottom line.

Beta

NOTE: Traffic Count is currently in beta. All beta requests must be directed through your OpenEye Sales Representative.

Overview
 

 

  

 

Traffic count utilizes the Line Crossing AI analytic. The configuration is nearly identical across cloud cameras and IP cameras. To begin with, navigate to the analytics tab for the camera.

  1. From OWS, go to Management > Location Management > Locations.

Management dropdown Locations Locations.png

  1. Select the location with the device you want to configure.

Locations Device List.png

NOTE: If you are configuring an IP camera, select the location, then select the recorder to display the device list.

  1. Select the camera from the device list.

NOTE: If you are configuring an IP camera, select Go to Configuration.

  1. From the Analytics tab, enable Line Crossing.
  2. Click Setup next to Line Crossing.
  3. Select the Add Line plus sign if it is not selected, then click to place the starting point for the line, and click again to place the endpoint.

NOTE: If utilizing traffic count, ensure the lines and arrows are set in the direction to count when a person or vehicle enters the area. See Line Crossing Best Practices for more information.

  1. Check either Person or Vehicle for Detection type.
  2. Check Record on event detection to automatically begin recording when a line in a region is crossed.
  3. To have each line cross create its own event, select Enable discrete object tracking events.
  4. Enable Line Crossing Direction and select Enter.
  5. If you plan to utilize the Occupancy feature, click the plus sign above the camera preview to create a new region. Repeat Steps #6 - 9 above for the new region. For Line Crossing Direction on the new region select Exit.

NOTE: Ensure that the exit line is relatively in the same position as the enter line and that the arrow is pointing in the opposite direction from the enter line.

  Cloud Camera   IP Camera  
  Line Crossing Cloud Camera.png   Line Crossing IP Camera.png  
Location Configuration

Once you have configured the cameras, the location can be configured to match your organization's times and restrictions.

  1. From OWS, go to Management > Location Management > Locations.
  2. Select Traffic Count.

Here you can see the current location's traffic count and estimated occupancy if your traffic count has been previously configured.

Beta Traffic Count Location Settings.png

  1. Set the Maximum Occupancy field if you want to be alerted when the total estimated occupancy nears the entered amount.

NOTE: This setting can be used in conjunction with Occupancy alerts.

  1. Set the Reset Occupancy at: field to have the system set estimated occupancy to 0 at the given time.

  2. If the count is off, enter a number in Set Current Occupancy to: and click Update to correct the number displayed in Current Occupancy.

NOTE: The values displayed in Traffic Count are not affected when Current Occupancy is updated.

  1. Click + Cameras.
  2. Click the Add button Green Plus button.png next to each device you'd like to be included in the Alert.

  3. Click Select when finished.

NOTE: If the camera added has not had line crossing configured for traffic count, you may see a notification. From the list, you can click on the camera's options to configure the camera.

Traffic Count Camera Config Notification.png

Line Crossing Best Practices
Accurate Line Crossing Setup
  • Do not rely on the visible box alone

Line crossing is triggered by the bottom-center point of the detection box (person or vehicle). When drawing lines, position the lower part of the line closer to the bottom of the frame so it consistently intersects with that point on the bounding box, ensuring accurate event detection.

Example: The bottom center of the person detection box crosses the line drawn across where traffic enters and exits.

Line_Best_Practices_Crossing_Box_Cross.png

  • Avoid placing lines too close to frame edges

Position lines with enough space inside the scene. Placing them at the very edge can result in objects being detected as already past the line.

  • Do not place lines directly in doorways or tight entry points

This can cause detection boxes to appear beyond the line too quickly, leading to missed or inaccurate events.

  • Ensure proper camera angle and positioning

Cameras should be angled to clearly capture movement across the line, not directly facing traffic head-on.

  • Minimize object overlap (stacking)

Avoid views where people or objects stack on top of each other (e.g., straight-on entrance views), as this reduces tracking accuracy.

  • Optimize field of view for tracking movement

Position the camera so motion occurs across the frame rather than directly toward or away from it for better line-cross detection.

CAUTION: The person detection boxes stack when the camera views an exit straight on with traffic moving directly away.

Line_Best_Bad_Angle.png

Keep in Mind

  • Line crossing accuracy depends heavily on how detection zones and camera perspectives are configured.
  • Small adjustments to placement and angle can significantly improve detection reliability.
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