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The Intel AIM (Audience Impression Metric) provider in PADS4 enables the collection of real-time audience analytics using camera-based facial recognition technology. This allows businesses to gather insights on gender, age group, viewing duration, and audience engagement.

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Steps to Add/Modify an Intel AIM Connection in PADS4

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1. Start the Data Provider Wizard

  • Open the Data Provider Wizard using the steps in Adding a Data Provider or Editing a Data Provider.
  • Select Intel AIM as the provider type.

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2. Configure Intel AIM Connection Settings

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Specify the AIM Software Location

  • Version: Currently, only version 1 is supported.
  • Server: Enter the network address (IP address or hostname) of the PC where the AIM software is running.
  • Port Number: The default port for AIM communication is 12500.
Click Test to verify the connection.

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3. Select Data Collection Mode

Choose how the AIM provider collects and processes data:
  • Real-time Audience:
    • Retrieves data only for the current moment.
  • Real-time Audience and History:
    • Retrieves both real-time and historical data.
  • Remove Audience Information After a Specific Period:
    • Automatically deletes data after a specified time period.
    • This ensures the data table remains focused on recent interactions.
⚠ Note:
If a time period is set, total audience counts (e.g., total male viewers) will reflect only the viewers within the specified timeframe. Click Next to proceed.

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4. Complete the Setup

  • Click Finish to finalize the Intel AIM connection.
  • The PADS4 Viewer will now display real-time audience analytics.

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Important Considerations

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High Data Refresh Frequency

  • To accurately detect viewers, set a high refresh frequency.
  • A low refresh rate may cause missed detections.

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Data Structure Overview

Each row of the Intel AIM data table represents an individual detected viewer. The system captures details like gender, age range, timestamp, viewing duration, and position.
ColumnData TypeDescription
IDLongUnique ID for each viewer.
GenderInteger0 = Unknown, 1 = Male, 2 = Female
Age GroupInteger0 = Unknown, 1 = Child (<16), 2 = Teen (16-19), 3 = Young Adult (19-34), 4 = Older Adult (34-64), 5 = Senior (>65)
TimestampDateDate and time of detection.
Viewing Time (s)LongTime spent in front of the camera (seconds).
Face Width/HeightLongSize of detected face.
Total Male ViewersLongTotal males detected.
Total Female ViewersLongTotal females detected.
The most recent viewer is listed in the first row.

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Use Cases

  • Retail & Advertising: Measure audience engagement for digital signage.
  • Events & Exhibitions: Understand attendee demographics.
  • Security & Analytics: Improve crowd monitoring in public spaces.