AugeLab Studio Manual
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  • 👋Welcome to AugeLab Studio User Manual
  • 📘Introduction
    • AugeLab Studio
    • Key Features
    • Use Cases
    • System Requirements
  • 🚀Getting Started
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  • 🖥️AugeLab Studio Interface
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      • Leverage AI with Module Downloader
  • 🧱Function Blocks
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        • Face Detection
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      • Detections/Shapes
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        • Draw
          • Draw Detections
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        • Roi Processing
          • Check Area (Polygon)
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      • Input/Output
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  • 📡Devices and Communication
    • Camera Usage
    • Communication Protocols
    • Further Reading
  • 🧩Example Projects
    • Demo Projects
    • Circumference Measurement
    • Object Counting
    • Tile Width Measurement
    • Human Detection
    • Object Detection
  • 🔑Key Features
    • Deploy Custom HMI Applications
    • Annotate Data for Object Detection
    • Train Custom AI Models
      • Choosing the Right Database
      • When to Stop Training
    • Create Plugins
      • Components
      • Coding Reference
    • Share Your Solutions with Community
    • Instal Python Packages
  • 📑FAQ
    • Contact Us
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  • Additional Resources
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  • Appendix
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  1. Example Projects

Human Detection

PreviousTile Width MeasurementNextObject Detection

Last updated 8 months ago

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Human detection has been a very hot topic in both computer vision and public media and falls under the same category as . This short documentation will help you detect the positions on humans and count them entering an area.

You'll need to install AI modules and have a computer with GPU to complete this tutorial. Please refer to the .

A simple human detection case can be tested with a simple scenario like below:

Go ahead and click on Select Video File on Video block and choose footage.mp4 on example images folder.

Disable Real-time on Video because we would like to process each frame with Object Detection.

Choose Human on Object Detection block in detection class selection box. Slide the confidence threshold to %50.

Press on F5 or Window->Run->Run One Step and you should encounter this scene:

You may see there are several human detections on our video file. However, we would like to count how many people enter in or exit out of our camera perpective. To achieve that, we'll be using Check Area block:

Connect sockets as provided in the figure above, run the scenario for one step and draw the detection area as well in Check Area block.

Running the current scenario will count how many objects are in the drawn rectangle:

However, we will only be counting objects in this area at current time, we won't be able to hold information on how many people have passed the area. To calculate that, we need to create the logic below:

The logic above subtracts the total number of detected objects from the previous state using Delay Step block. If there is a difference greater than one, it adds up to it and saves it with Counter block.

There you have it! Now, run this scenario with Ctrl+F5 or Window->Run->Run and you'll be able to count the number of people passing through a certain area:

For our case, will be using , and blocks in AugeLab Studio. You can drag-drop these blocks from Blocks section or double click on the empty scenario and type their name.

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Object Detection
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Object Detection
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