Image Processing
Implementation of machine vision, shape recognition, segmentation, and development of optical-based manufacturing support and automated inspection systems.
OpenCV-based image processing algorithms, segmentation, shape recognition
- Detection of manufacturing defects
- Quality assurance
- Recognition of objects and parts based on a parts database
- Examination of surface quality of parts
Implementation and training of AI-based image processing systems
- AI-based object recognition
- Examination of biological samples, cell structures
- Detection of various object defects (e.g., surface defects (scratches, wear), material defects (cracks, breaks), etc.)
- Detection of operational errors in complex objects (e.g., traffic lights, street lighting, etc.)
Examination of imaging properties of lenses
- Measurement of resolution (line pairs/mm)
- Measurement of modulation transfer function (MTF)
- Measurement of distortion
- Examination of chromatic aberrations