This work aims to develop an application for analyzing lens characteristics using calibration elements (at-home printable test charts with various graphic elements suitable for mathematical analysis of lens properties). The application should consist of four parts:

1. Acquisition of images: The application will interface with a camera via USB interface to capture several photographs at different settings relevant to lens properties, such as aperture (f-number) and focus distance. These images will be transferred in RAW quality to the application for analysis.
2. Segmentation and preprocessing of calibration elements: By using image processing algorithms, including feature detectors like SIFT, we will find boundaries and position of calibration elements in captured images.
3. Evaluating lens properties: As the core analytical component of the application, this part will focus on assessing various lens properties based on the analysis of the calibration elements. Properties to be evaluated include sharpness, bokeh properties (examination of defocused point light), geometric distortions (barrel, pincushion), chromatic aberration and vignetting.
4. Displaying the results: the application should be useful for advanced users like lens technicians, but also to people seeking assessment or comparison of lenses, such as beginning photographers.

The application's backend will be managed by a Python server (executing first, second and third steps) that will handle communication with the camera. For user interaction, a web interface (fourth step) will be developed to display progress and results, offering users the capability to control the camera within the scope of the analysis. Methods should be explored to ensure the application results remain consistent across different camera bodies, under varying lighting conditions, and regardless of the positioning of the calibration elements. This invariance is beneficial for providing reliable and accurate lens assessments regardless of the testing environment.