RSIP Vision Learns

Lanes Detection System

As a potentially life-saving solution, even a simple traffic lanes detection system requires the highest accuracy. For that reason, RSIP Vision‘s deep learning experts have developed an ADAS system which solves this challenge. Our specialized team is fully proficient in both image processing techniques and the autonomous vehicles environment. The use of perspective and the calculation of vanishing points are part of the solution that we develop and provide.

Machine fault detection and classification

Automatic detection and diagnosis of various types of machine failure is a very interesting precess in industrial applications. With the advancement of sensors and machine intelligence,

Retina Montage Software

RSIP Vision has developed software which finds common points within the images and reorients them to ‘stitch’ together an accurate panoramic presentation of the retina. Our image stitching technology reconstructs the vascular tree of the retina also when images are acquired at different angles. Its end result enables the ophthalmologist to analyze the patient’s retinal vascular tree through an efficient and non-invasive process.

Deformable pattern matching and classification

Three sources of apparent object deformation can occur: a change in the shape of the object itself, partial or full occlusion by dynamically changing background

Cataract surgery software

Our technology can guide surgeons performing a cataract surgery procedure, by tracking points of interest and their movement. In this way, cuts will be minimized and all operations will be performed with the highest precision. RSIP Vision is able to do that thanks to sophisticated detection and extraction algorithms in the field of image processing, providing the most accurate cataract surgery tool.

Optical Coherence Tomography Angiography

Optical coherence tomography angiography uses OCT to produce high-resolution images of the vascular tree in the eye. A fast and non-invasive procedure, it generates high resolution tridimensional images. Stitching multiple images together and increasing image information and clarity, RSIP Vision’s solution allows physicians to quickly and accurately detect pathologies related to vascularization without side effects or clinical hazards.

Automatic Pupil Distance Measurement

Modern eye glasses need high precision measurements to ensure the best fit. Interpupillary distance, the distance between the projections of the pupil on the cornea, is one of the most important measurements. Sophisticated algorithms, developed by RSIP Vision to determine with high precision the center of vision corresponding to the pupil, have been integrated into machinery used in eye clinics and embedded as an application in portable devices, such as cell phones.

Multi-modal registration of retina images

Is it possible to perform combination of fundus images coming from different imaging equipment or technologies and taken from different angles? RSIP Vision apparently can, since we used our expertise in computer vision for ophthalmology to provide software to a client who wanted to combine direct images of the fundus with fluorescein images, which need to be reconstructed before being connected together to form a more detailed image. The end result provides ophthalmologists with detailed images of the retina, ensuring more efficient and accurate patient diagnosis.

3D object reconstruction by fringe projection

Fringe pattern projection for 3D object reconstruction has been around for 3 decades. The method finds its application in reconstructing static and dynamic objects in

Stabilization in fluorescein angiography

One of the most common tests in ophthalmology is fluorescein angiography: fluorescein is injected in the blood and it moves immediately through the blood vessels

Breakthroughs in biomedical imaging

During the last few decades, the field of biomedical imaging was shaken by major breakthroughs, which have completely changed the way physicians can observe imaging data. For

Type 2 interval fuzzy sets in pattern classification

In search for a pattern in an image, a video or a signal, one has to consider several sources of bias, noise and uncertainties. Such

Object feature tracking in natural scenes

Augmented reality (AR), the superposition of virtual graphical models on screen, has been steadily progressing and finds its application in diverse domain from recreational to

Image Categorization and Retrieval with Fisher Vectors

Testing a set of images for similarity has long been a task of image processing computer vision and machine learning. The plethora of tools and

Image Features for Classification

Classification problems in image and signal analysis require, on the algorithmic side, to take into account complex information embedded in the data. Images might contain

Segmentation and tracking of kidney stones

An affected anatomical region can be treated in a selective and non-invasive manner by localized and contact-free methods such as high-intensity focused ultrasound. Treatment by

Flexible medical instruments for endoscopic surgery

Instrument tracking for robotic aided surgery

The success of complex fine-scale surgery depends heavily on surgeons’ agility, state of fatigue and their freedom to manipulate miniature instruments in the target organ. Internal organs

Planning of screw insertion trajectory

Robotic assisted minimally invasive surgery has changed the face of surgery. The use of robotic aids in surgery can be traced back to the mid-1980s,

Minimally Invasive Robotic Surgery

Minimally Invasive Surgery (MIS) has emerged as a paradigm shift in modern surgical practices dating back to the early 1990s. What is Minimally Invasive Surgery?

Anatomical surface reconstruction with sparse set of points

Advance navigation techniques in orthopedic surgery allow to construct 3D models of patients’ anatomical parts by matching a surface to an acquired set of data points. As an alternative to costly imaging procedures, ultrasound or fluoroscopic scan can be performed with much reduced costs and hazards. A set of surface points marked by the technician or physician forms then an initial sparse set for anatomical surface reconstruction. Here we show how RSIP Vision’s engineers overcome the challenge of using a sparse set of points to accurately reconstruct a complex 3d surface.

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