Insights

The Insight module is where you go to analyse and interpret the data collected by your sensors. It brings together a range of analytical tools - from studying individual MAC address fingerprints and advertising impressions to examining link and route travel times, heatmaps, origin-destination patterns, and reliability indices. Whether you are investigating traffic patterns, running an advertising campaign study, or tracking specific devices, Insight gives you the tools to turn raw sensor data into meaningful, actionable information. Use the table of contents on the right to navigate to the section most relevant to your needs.

Fingerprint Study

The Fingerprint Study tool allows you to observe a fingerprint's time interval and configure criteria when searching for a fingerprint. On the main Fingerprint Study page, you can create, manage, and analyse your fingerprint studies.

Creating a New Study

Creating a new Fingerprint Study is a straightforward process that takes you through four pages: Fingerprint Selection, Configuration, and Summary. Follow the steps below to get your study set up.

Step 1: On the Fingerprint Study dashboard, locate the Create button in the top right corner and click on it. This will take you to the Fingerprint Selection page, where you will see a table labelled List of Conditions.

Step 2: Click the Add button to add a condition to the table. From here, choose your preferred sensors and set your desired time range.

Step 3: Once you have reviewed the details and confirmed they are correct, press Save to add the condition to the list.

Step 4: Below the List of Conditions, locate the Fingerprint Condition field and enter a fingerprint.

Step 5: Press Find Fingerprints to run the search. A list of matching fingerprints will appear — check the box next to each one you would like to include in the study.

Step 6: Press Next to continue to the Configuration page.

Step 7: Provide a name and description for your study. These details will help you identify and differentiate it from other studies later.

Step 8: Choose a Calendar Format and a Time Range, then click Next in the bottom right corner to proceed to the Summary page.

Step 9: Review all the information and configurations to make sure everything is correct. When you are satisfied, click Submit to finalise and create your study

Study Information

On the Fingerprint Study table, you can see the name, status, progress bar, last process time, and creation time for each fingerprint study. Click on the name of a study to open its Info page, where you can view the study details, edit the name and description, and review the days, fingerprints, and search criteria included. You can also view the current status and processing progress from here.

Process Result

The Process Result section shows the raw data for each fingerprint. Find the fingerprint you would like to analyse in the table and click the dropdown icon to expand the raw data. Here you can see the Create Time, RSSI, and Device for each fingerprint.

The image below shows an example of the expanded raw data view for a fingerprint, including the dropdown icon and the data columns displayed.

You can also download the raw report using the button in the top right corner of this section.

Impression Study

Introduction

The Impression Study gives you a comprehensive understanding of how your ads are being perceived by your target audience. The tool tracks key metrics including total counts, unique counts, dwell time (the duration an individual has been exposed to an ad), and visit frequency. These metrics are captured based on detected MAC addresses, so you can make informed decisions and improve your advertising strategies.

Create an Impression Study

Creating a new Impression Study takes you through three pages: Information, Configuration, and Summary. Follow the steps below to get your study set up.

Step 1: Press the Create button in the top right corner. This will take you to the Information page.

Step 2: Provide a name and description for your study. These details will help you identify it later. Click Next in the bottom right to continue.

Step 3: You will arrive at the Configuration page, where you will build out your study by adding sets. Each set includes one or more sensors and a time duration. Press the Add button in the bottom left to add your first set.

Step 4: Provide a name for the set, then select the sensors you would like to include. You can select sensors from the list, or directly on the map by clicking on the markers. A red marker means the sensor is not selected; a green marker means it is selected for the set.

Step 5: Choose the days you would like to study by selecting either Multiple or Range, then pick your desired days on the calendar along with the hours of the day.

Step 6: If needed, configure the Scale Factor to specify which direction(s) of traffic will be included in the set. To fine-tune the detection range, click the Advanced Settings dropdown and adjust the RSSI values.

Step 7: Click Save to add the set. Repeat Steps 3–7 for each additional set you would like to include in your study.

Step 8: Below the table, configure the minimum time between two visits and the maximum dwell time to suit your study requirements.

Step 9: Once you have added all the sets you need, press Next to proceed to the Summary page.

Step 10: Review all the study information one final time. When you are satisfied, press Submit to finalise and create your study.

Analyzing Impression Data

Once processing is complete, click on the name of a study to view it in detail. From there, you can edit the study, view charts, and access the full report.

Info

On the Info page, you can view and edit all the information for your Impression Study, as well as review each set and its associated data.

Charts

The Charts page provides several visual tools to help you analyse your impression data. Below is a guide to each chart available.

Result Chart

On the top right of the Result Chart, you can select the set and aggregation interval to be shown.

Use the dropdown in the top right of the Result Chart to select which set and aggregation interval to display. The chart will then show you three views: Average Dwell Time, Visit Frequency, and Unique and Repeat Counts.

The images below show how the Result Chart changes depending on your selected time interval:

15 Minute Interval:

30 Minute Interval:

1 Hour Interval:

1 Day Interval:

Below these charts, you can zoom into a specific time interval to get a closer look at the data.

Set Comparison (Value)

This chart lets you compare your different sets using Average Dwell Time and Total Count statistics. You can also click the hamburger menu to view the chart in full screen, print it, or export it in your preferred file format.

Set Comparison (Percentage)

This chart compares the percentage growth of different sets for Average Dwell Time Change and Count Change, using Set 1 as the reference set.

Common MAC Address

This chart shows the count and percentages of MAC addresses that have visited multiple locations for the selected set.

Insight Charts Guide

All Insight charts share the same template and options, even though the underlying data differs between chart types. The image below uses a Link/Route analysis chart as an example to illustrate all available options.

• To switch between travel time and speed charts, click the dropdown menu (callout 1) and select Speed or Travel Time.
• To download the chart image or the data CSV file, click the hamburger icon (callout 2) and choose your preferred format.

The icons along the left side of the chart give you additional display options:

Full Screen: Click the full screen button to expand the chart to full-screen mode. Click it again to return to the default view.

Legend Toggle: Show or hide the chart legend using this option.

Peak Hours: Click this icon to overlay AM and PM peak spans on the chart. You can modify your AM and PM peak hours under Settings > Company > Peak Hours Selection.

Measurement Tool: This tool finds the minimum, maximum, and average values for a selected area on a chart. For a walkthrough of how it works, watch this video.

Link Route Analysis

Time Series

Link/Route time series analysis lets you compare multiple links and routes (up to five) for travel time and vehicle count data across a desired time range.

Based on the data interval of your selected links and routes, you can choose the granularity - that is, the time interval between two consecutive data points on the chart.

To select a time range:

Click on the time range field to open the calendar. Select the start date and adjust the time using the arrow controls if needed.

Then select your end date and time, and click the calendar icon to close the picker. Once you click the Analyse button, the travel time chart will appear as shown below.

24 Hours

The 24-hour link/route analysis lets you see aggregated link or route data in a 24-hour format. Each set in this analysis represents a link or route whose data will be aggregated based on the selected granularity within the set's specified time range.

To add a new set:

Click the Add button, provide a name for the set, and select a link or route. Then specify the time range for data aggregation. You have two options:

• Multiple: Select individual days one by one by clicking on the calendar.

Range: Click a start date, then click an end date. All days between them will be selected automatically.

Click the Save button to add the set. Keep in mind that Granularity controls the time interval between data points - a lower granularity will show more fluctuation in the data.

Once you click Analyse, a 24-hour travel time chart will appear as shown below.

Trends

Link/Route Trends analysis allows you to compare average travel time and cumulative vehicle counts across various links and routes for different days or months.

After selecting your links or routes, choose the period for comparison — either several days or months. Click Days or Months to open the relevant calendar. You also have the option to exclude certain days of the week or hours of the day from the analysis. When you are ready, click Analyse.

The image below shows a sample trend analysis for four links and routes across three months (December 2019, April 2020, September 2020).

Heatmap (24 Hours)

Heatmap analysis helps you find and compare route bottlenecks at a glance. It aggregates each link's speed data along a route based on your selected granularity and displays the average speed using a colour scale - from green (free-flowing) to dark red (heavily congested) - in a 24-hour format. These colours indicate the level of congestion for each link relative to its free-flow speed.

To add a new set:

Click the Add button, provide a name for the set, and select a route. Then specify the time range for data aggregation. You have two options:

• Multiple: Select individual days one by one by clicking on the calendar.

Range: Click a start date, then click an end date. All days in between will be selected automatically.

Click the Save button. Remember that Granularity controls the time interval between data points — lower granularity shows more fluctuation.

After clicking Analyse, a heatmap will be generated as shown below. Each row represents a link in the route, and each column represents a time interval. The colour of each cell reflects the average speed for that link at that time.

Origin-Destination Analysis

Origin-Destination (OD) studies are used to determine travel patterns of traffic within an area of interest over a period of time. By setting up a network of SMATS Bluetooth and Wi-Fi sensors around the OD points of interest, iNode uses MAC address tracking and matching to determine individual trip patterns and the origin-destination matrix. The combination of Bluetooth and Wi-Fi detections also improves the sample size of the data, which is an important factor in OD studies.

Sensor Selection

Before running an OD analysis, you will need to assign your sensors to one of the following roles:

Nodes: Origin (entry) and destination (exit) points that form the OD matrix. A trip starts from an Origin sensor and ends at a Destination sensor.

Include: Sensors that can optionally appear in the list of trips between nodes. These act as waypoints between an origin and destination point.

Must Include: Sensors that must always be present in the trip list.

Must Exclude: Sensors used to filter out trips that pass through a particular point.

Time and Date Selection

Select the days and hours for your OD analysis. You can select multiple days and time slices. Multiple days are aggregated, and the generated reports are broken out separately for each time slice — for example, AM and PM peaks.

Time and Date Selection

The following parameters allow you to fine-tune how trips are detected and recorded:

Min. Cross Sensor Detection Interval (seconds): If sensors are installed close together, their detection zones may overlap. This parameter prevents trip list "bouncing" between two sensors by requiring a minimum time gap before a second sensor detection is added to the trip list. For example, setting this to 5 seconds means a vehicle must be detected by a second sensor at least 5 seconds after the first before that detection is recorded.

Min. Single Sensor Detection Interval (seconds): If set to 0, sensors with only a single MAC address detection will be included in the trip list. Setting a higher value requires more than one detection before that sensor is counted.

Min. Same Node Trip Detection Interval (minutes): For round trips (where the origin and destination are the same sensor), this parameter determines when one trip ends and the next begins. It sets the minimum time between the end of the last trip and the start of the next.

Outputs

Once your analysis has run, you can access the following reports:

Raw Trips Data

The raw trips report lists all trips discovered between your origin and destination points. Each entry includes the vehicle's unique ID (such as a MAC address), the origin point, any selected waypoints, and the destination point. Travel time between each pair of sensors, and the total trip travel time, are also included.

Average Trips Data

The discovered trip data is aggregated to produce average trip statistics, including the number of vehicles taking the same route, and the average, minimum, maximum, and 95th percentile travel times for each route.

OD Matrix

The OD matrix report shows the number of trips between each origin-destination pair, along with average travel time and trip distribution percentages.

Travel Time Reliability Indices

Travel Time Reliability (TTR) measures are reported alongside average travel time as indicators of congestion. The three main indices are the Travel Time Index (TTI), Buffer Index (BI), and Planning Time Index (PTI). For more detail on how these indices are calculated, see this article: Travel Time Reliability: How to Measure and Why it is Important?

24 Hours

The 24-hour TTR analysis calculates and compares TTI, BI, and PTI for your selected links and routes, displaying the results in a 24-hour format. Each set represents a link or route within a specified time range.

To add a new set:

Click the Add button, provide a name, and select a link or route. Then specify the time range for data aggregation. You have two options:

• Multiple: Select individual days by clicking on the calendar.

Range: Click a start date, then click an end date. All days in between will be selected automatically.

Click Save to add the set. The image below shows a sample Travel Time Index chart for two different routes. You can switch between TTI, BI, and PTI charts using the dropdown menu in the top right.

Trends

Travel Time Reliability Trends lets you compare average Travel Time, Buffer, and Planning Time Indices for two or more links or routes across selected days or months. Cumulative vehicle counts are also calculated for each link or route.

After selecting your routes or links, choose the desired days or months for the analysis. You can also exclude specific days of the week or hours of the day if needed.

The image below shows a sample average travel time index chart for two links. Use the dropdown menu in the top right to switch between the different reliability chart types.

Fingerprint Search and Notification Guide

The Fingerprint Search Tool

The Fingerprint Search tool is available from the Insight menu.

This guide walks you through how to:

• Conduct a MAC address search across your sensor records
• Narrow down your search using multiple detection points and date/time criteria
• Check whether a selected MAC address appeared at other times or locations, and how close it was to the sensor at the time of detection
• Add a MAC address to a watchlist so you are notified when it is detected again

Conduct a MAC Address Search in the Database

Start by setting search criteria ("conditions") such as location and time range. It is recommended to keep your conditions broad at first, then tighten them progressively to reduce the number of matching MAC addresses.

Search for a Known MAC Address in the Database

If you already know the MAC address you are looking for, enter it in the Find Fingerprint field. You can record your target MAC address at this stage or click Next to further investigate this MAC address's movement data.

Search for Past Activities of the Target MAC Addresses

Set the date range you want to cross-reference, then click Next to investigate whether the MAC address was observed at your specified dates and locations.

Run Movement Reports of Known MAC Addresses

Detailed daily movement reports show the signal strength and Received Signal Strength Indicator (RSSI) for each time and location where the selected MAC address was detected.

Add MAC Addresses to Your Watchlist and Set Up Email Notifications

Once you have identified a MAC address you want to monitor, you can add it to a watchlist and configure email alerts to notify you whenever it is detected. Follow the steps below to set this up.

Step 1: Add the MAC Address as a Tag

Navigate to the Tags page to add the MAC address to the list of tags to be monitored. Name the tag clearly so it can be easily associated with the subject it represents.

Step 2: Create a Label for the Monitoring Sensors

Create a new label to assign to the sensor(s) that should monitor the tag. Labels can be used in iNode to group sensors or tags together. You can manage labels under the Settings menu.

Step 3: Assign the Label to Your Sensors

Assign the label to your target sensor(s) from the Sensor > Labels tab. Only sensors with the label assigned will monitor the associated tags. You can create and assign multiple labels to different sensor groups.

Step 4: Create an Alert Template

Create an alert template targeting your tags. In the Target Labels field, type the label you assigned to your sensors. If you want to limit when the alert is active, select specific dates and hours from the schedule.

Add the target tag(s) to the alert template and select the email recipients, or add external email addresses directly.

Once everything is configured, you will receive an email notification as soon as the target MAC address is detected by any sensor with the assigned label. A second notification will be sent when the target MAC address leaves the sensor's detection zone.

Table of contents

• Insights
• Fingerprint Study
• Creating a New Study
• Study Information
• Process Result
• Impression Study
• Introduction
• Create an Impression Study
• Analyzing Impression Data
• Info
• Charts
• Insight Charts Guide
• Link Route Analysis
• Time Series
• 24 Hours
• Trends
• Heatmap (24 Hours)
• Origin-Destination Analysis
• Sensor Selection
• Time and Date Selection
• Time and Date Selection
• Outputs
• Raw Trips Data
• Average Trips Data
• OD Matrix
• Travel Time Reliability Indices
• 24 Hours
• Trends
• Fingerprint Search and Notification Guide
• The Fingerprint Search Tool
• Conduct a MAC Address Search in the Database
• Search for a Known MAC Address in the Database
• Search for Past Activities of the Target MAC Addresses
• Run Movement Reports of Known MAC Addresses
• Add MAC Addresses to Your Watchlist and Set Up Email Notifications
• Step 1: Add the MAC Address as a Tag
• Step 2: Create a Label for the Monitoring Sensors
• Step 3: Assign the Label to Your Sensors
• Step 4: Create an Alert Template