AugeLab Studio Manual
Ask or search…
Comment on page

Setting up your hardware

This guide will walk you through the process of setting up your hardware to achieve optimal performance with AugeLab Studio, a versatile tool used for production inspection across various industries. Whether you're inspecting electronics, textiles, or automotive parts, and help you configure your hardware for accurate and efficient inspections.

Choosing the Right PC

Choosing the PC for your computer vision project is very important. There are two different approaches in setting up a qualified pc. Using one of:
  • AI detectors
  • Conventional computer vision
will require different specifications. For AI applications, high-end PCs with NVIDIA GPU is recommended. For conventional computer vision problems, mid-range PCs without an integrated GPU is sufficient.

Connecting Webcams

Connecting IP or USB Webcams to PCs:
  • Choose suitable webcams (IP or USB) based on your requirements and compatibility.
  • Physically connect USB webcams to available ports or configure IP webcams on the network.
  • Launch AugeLab Studio, access camera settings on Camera USB or Camera IP, and configure resolution and frame rate.

Utilizing Lighting

Utilizing Lighting, Colors, Object Surface, and Angles:
  • Select appropriate lighting sources considering intensity and color temperature.
  • Position lighting strategically to minimize shadows and reflections.
  • Experiment with different angles and distances to enhance visibility and contrast.
  • Adjust lighting colors to highlight specific object features.
  • Note if the environment is affected by daylight or not.

Camera Zoom and Angles

Utilizing Camera Zoom and Angles:
  • Utilize camera zoom to focus on specific inspection details
  • Experiment with varying camera angles to capture comprehensive views.
  • Adjust zoom and angles using AugeLab Studio's software controls.

Use Performance Analysis to Locate Bottlenecks

Performance Analysis can help you locate which function bottlenecks to increase the frame rate of your scenario. You may have to tweak some of your parameters to increase the performance.

AI Object Detection vs. Conventional Image Processing

Choosing AI Object Detection or Conventional Image Processing:
  • Opt for AI object detection for diverse objects, real-time detection, and classification with varying lighting, object positions, or angles.
  • Choose conventional processing for routine tasks and well-defined requirements and detections without varying in lighting, object positions, or angles.
  • Train AI models for enhanced object detection accuracy if necessary with Training Window.
Some problems with varying object angles and positions can be solved with conventional computer vision algorithms as well. These can be:
  • Object color is distinguishable from background color
  • Object position is variable but angle is not
  • Object frame is extractable regardless of the angle

Detection on Moving Production Line

Choosing Cameras for Detection on a Moving Production Line:
  • Select high-speed cameras with fast shutter speeds for fast moving production lines.
  • Consider industrial-grade cameras for clear images of rapidly moving objects.
  • Cameras with global shutters minimize motion blur during high-speed inspections.
    • Otherwise, try to decrease shutter speed in camera settings.
With these guidelines, you can seamlessly set up your hardware for AugeLab Studio. Whether your production involves electronics, textiles, or any other industry, AugeLab Studio's adaptability combined with optimized hardware ensures precise and reliable inspection results.