• Simulated the full imaging pipeline with the existing lens design
  • Inserted a distortion measurement target into the scene
  • Compared the simulated target to a paraxial reference
  • Fit the distortion error using a fifth-order polynomial
  • Used ImSym’s Python API to implement a custom ISP correction block

The result is a digitally corrected image that more closely matched the original scene object, without modifying the optical design. This allowed hardware builds to proceed on schedule while still meeting the distortion specifications.

Accelerating Testing & Calibration

ImSym also helps teams prepare for man-ufacturing by enabling earlier development of automated test and calibration workflows. By simulating image-quality targets such as MTF charts, dot patterns, and color grids, teams can validate test algorithms before hardware arrives. This reduces bring-up time for manufacturing test stations, ensures accurate placement of test fixtures within device FoV and facilitates smoother transition into production.

HighPerformance Simulation with GPU Acceleration

Fast iteration is essential for evaluating system trade-offs. ImSym integrates GPU acceleration to reduce simulation time. In the referenced example, a 0.25MP simulation completed in under one minute on a laptop 7equipped with an Nvidia RTX 2000 GPU, while subsequent iterations completed in www.keysight.com

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