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Object tracking in videos

Object tracking in videos is a classical computer vision problem. It consists of not only detecting the object in a scene but also recognizing the

Eyelid Drooping – Blepharoptosis

Blepharoptosis, also known as ptosis, is a drooping of the upper eyelid causing a narrowing of the palpebral fissure (or palpebral aperture), which is the

Validation of accuracy in navigation systems

System validation of accuracy is an offline procedure performed periodically to confirm that the tracking system is accurate. In some cases, validation of accuracy can

Navigation Systems in Orthopedic Surgery

The navigation system is one of the most powerful tools for the surgeon in orthopedic surgery. The visualization system aids the surgeon to place his

Registration of CT and X-ray

Registration is a phase of orthopedic surgeries in which a visualization system is called to support the surgeon. This system provides real time view of

CT Segmentation in orthopedic surgery

CT image segmentation is a typical phase of orthopedic surgeries in which a visualization system is called to visually support the surgeon’s task. This system

This series of 5 articles by RSIP Vision about orthopedic navigation during surgery displays the state-of-the-art image processing techniques offering the surgeon a highly accurate and effective real time in-op view of the surgery environment. This procedure can be divided in several tasks: camera calibration of input images; segmentation during orthopedic surgeries; registration of CT and X-Ray; orientation and navigation during surgery; validation of accuracy in navigation systems. The outcome is a breakthrough advancement in orthopedic surgery performance, corroborated by rich academic literature supporting the method and by widespread use in the operation room.

3D reconstruction of the heart

Using minimal 2D images from a routine angiography, RSIP Vision’s algorithm tracks the veins and constructs a route map of the arteries, from two different angles. Our sophisticated algorithms applied to computer vision in cardiology reconstruct 3D models of the heart artery tree from 2D images, allowing for improved diagnostic capabilities, lower risk to both patients and physicians, more effective therapy and reduced costs.

Defect Detection in Ceramics

When a tile is manufactured in mass production lines, manual inspection becomes a limiting factor to speed of production. This calls for the development of an automated inspection and defects detection in ceramics material, which RSIP Vision has built for one of its clients, generating dramatic improvements in terms of output quality, waste reductions and loss of labor time, all of which benefit the manufacturer’s image and profits.

Grading and sorting

RSIP Vision develops advanced deep learning software for fast and accurate grading and sorting of agricultural produce. One of the key benefits of this solution is its ability to effectively detect existing features and defects, to predict which items will last longer (and therefore can be shipped far away) and which items should be retained for the local market. Sorting and grading machines based on deep learning yield a consistent performance. They are the state-of-the-art solution we recommend today for applications of this kind.

Coronary CT Angiography with Deep Learning

The production of 3D CT images of the heart requires a fast image processing technology, applied simultaneously on multiple scanned layers. To automatically separate the different components of the image, our software locates in the images the muscular layer (myocardium) of the heart needed for the rest of the segmentation in coronary CT angiography. Minimum graph cuts is the technique which provides the clearest tracking and the strongest segmentation results.

Automated diagnostic reading of HIV

Human Immunodeficiency Virus is a double-strand RNA retrovirus, which translates into a DNA by reverse transcription in the cell cytoplasm and later integrated into the

Automated lung segmentation - airways and blood vessels

Lung Segmentation Software

RSIP Vision has built a lower respiratory tract segmentation software using advanced image processing algorithms. This region includes both lungs along with their pulmonary vasculature. This lung segmentation software takes advantage of the structure of vascular and capillary tree in the area as an exploratory tool for lungs segmentation, enabling both diagnosis and planning of invasive interventions.