The positioning markers on such charts facilitate obtaining automated measurements of sharpness, noise, color rendering, geometrical distortion, and frame rate (among many other metrics) in any condition. The Analyzer measurement software suite provides plenty of options for evaluating precise image quality metrics at any resolution, and in both still image and video formats.
By integrating our Python API into your systems or even by building custom testing solutions with our unitary measurement tools, you can test your existing cameras with easy-to-use measurement reports and documented numerical guidelines; evaluate, check and compare specifications for off-the-shelf camera systems with standards-compliant measurements; and automatically receive alerts whenever image quality parameters deviate from their nominal values.
Use Cases:
- Calibration and tuning in situ require “small”
targets like the P2020 SFR chart - High precision of pixel positioning requires a highly
accurate distortion model with error estimation - Noise evaluation according to the emva1288
standard
Measurement and KPIs:
- Chromatic aberrations
- MTF
- Noise
- Tone curve
- Color fidelity
- Precise distortion calibration (Brown-Conrady
models compatible with OpenCV and Matlab) with
error map for accuracy evaluation