Computer Vision
Detect and analyse objects and people
from image and video sources.
Detect and analyse objects and people
from image and video sources.
Interacting with humans have always been a multidisciplinary and complex problem for IT system architects and developers. With new discoveries in the field of deep learning it became possible to employ computer vision for the task of understanding human behaviour.
It finds it's appliance in a variety of task including intelligent monitoring and safety enforcement, gesture detection and understanding for tracking conversion, interaction with expositions or analysis of workspace behaviour.
Using imaging systems enable manufacturers to inspect products at high speed, capturing and storing information on the production process.
AI enhances the process, providing manufacturers with accurate, consistent and reliable computer vision system for the inspection of their products.
With our experiance in this field, we know how to provide traceability of computer vision inspection data, we use advanced vision algorithms for surface inspection to detect subtle scratches, dents, or minor defects. We also choose optical components that provide the quality for high-fidelity image-based inspection
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Classification problems for research projects like medical imaging often require algorithms to be trained on scarse datasets. With help of special techniques, like data augmentation or transfer learning, we can address that issue and provide outstanding accuracy for demanding computer vision applications.
AI can detect objects and patterns on satellite and aerial imagery. Applications of such acquired geospatial information varies from environmental studies, farming, insurance and actuarial systems to smart cities.
Whether it is measurement of land degradation, assessing roof area and angles for solar panel compatibility or measuring pedestrian traffic in the city - Computer Vision coupled with Artificial Intelligence is up to solve the task.
Diagnostic imaging has its place among the most promising clinical applications of AI. Computer-aided diagnostics has shown impressive accuracy, sensitivity, and specificity for the detection of imaging abnormalities, and has found its application in many medical fields. It can help to detect hazardous skin lesions, prostate cancer and breast cancer in mammography.
Deep learning algorithms could enhance the assessment of MRI or echocardiographic features, and identicate the subtle structural and functional cardiac or brain vessels abnormalities.
