> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pads4.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Connecting an Intel AIM Device

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**.

***

## **Steps to Add/Modify an Intel AIM Connection in PADS4**

### **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**.

***

### **2. Configure Intel AIM Connection Settings**

#### **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.

***

### **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.

***

### **4. Complete the Setup**

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

***

## **Important Considerations**

### **High Data Refresh Frequency**

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

### **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**.

| Column                   | Data Type | Description                                                                                                         |
| ------------------------ | --------- | ------------------------------------------------------------------------------------------------------------------- |
| **ID**                   | Long      | Unique ID for each viewer.                                                                                          |
| **Gender**               | Integer   | 0 = Unknown, 1 = Male, 2 = Female                                                                                   |
| **Age Group**            | Integer   | 0 = Unknown, 1 = Child (\<16), 2 = Teen (16-19), 3 = Young Adult (19-34), 4 = Older Adult (34-64), 5 = Senior (>65) |
| **Timestamp**            | Date      | Date and time of detection.                                                                                         |
| **Viewing Time (s)**     | Long      | Time spent in front of the camera (seconds).                                                                        |
| **Face Width/Height**    | Long      | Size of detected face.                                                                                              |
| **Total Male Viewers**   | Long      | Total males detected.                                                                                               |
| **Total Female Viewers** | Long      | Total females detected.                                                                                             |

The **most recent viewer** is listed in the **first row**.

***

## **Use Cases**

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