NINOX 360 has developed the ability to calibrate camera systems composed of one or more cameras using natural features alone. No calibration grids or known structures are required. It enables recalibration on the fly in the field without infrastructure. Need to replace a lens but don't have a replacement with the same field-of-view? No problem, camera characteristics are determined without priors and it informs you when it has converged to stable solution.

This works using either motion in the scene or the camera and by applying geometric constraints, combined with machine learning. No retraining is required for different environments, camera technologies, and minimal priors are required. Hard mathematical evidence is used to determine the quality of provided estimates.

NINOX 360 is looking for beta testers in difficult industries for this toolbox. Please fill in the form below or contact sales@ninox360.com for more information.

Key Words: Camera Calibration, Self Calibration, Auto Calibration, in situ calibration

Using a known target tends to result in more accurate calibration immediately after calibration. However, degradation over time, temperature, and mechanical shock will lend itself towards a system capable of recalibration.