IDS peak Cockpit: Going deeper into auto features
This video explores the automatic image optimisation features available with IDS cameras and explains how they improve image quality in changing application environments. Learn how auto brightness, auto white balance, auto black level and auto focus work, and when to use each feature for reliable machine vision performance.
The video demonstrates how these functions can be configured in IDS peak Cockpit, including the use of regions of interest, exposure and gain control, white balancing and focus optimisation. It also compares in-camera and software-based processing, helping viewers choose the best approach for their application.
Topics covered
- Auto brightness control using exposure, gain and histogram analysis
- Target brightness, percentile and tolerance settings explained
- Auto white balance for accurate colour reproduction under different lighting conditions
- Auto black Level adjustment for consistent image quality in dark areas
- Autofocus configuration, sharpness metrics and search algorithms
- In-camera versus software-based image processing with IDS peak Cockpit
Video timeline
- 00:00 Introduction and agenda
- 00:29 In-camera vs software-based processing
- 01:23 Explanation Auto brightness
- 03:52 Demo: Auto brightness
- 06:08 Explanation Auto white balance
- 06:48 Demo: Auto white balance (ROI)
- 08:35 Explanation Auto black level
- 09:11 Demo: Auto black level
- 10:04 Explanation Auto focus
- 10:48 Demo: Auto focus
- 12:15 Auto focus optimisation, ROI
- 13:00 Summary and feature overview
Who should watch
Machine vision engineers, system integrators, automation specialists and developers working with industrial cameras who want to optimise image quality, colour accuracy and focus performance in machine vision applications.
Watch now to discover how IDS auto features can simplify camera setup and deliver consistently high image quality.
