RSIP Vision Learns

Algorithms for Autonomous Driving

The transportation revolution coming with autonomous cars has already started, involving challenges that require proper handling of advanced technologies and algorithms: deep learning, to name

Cardiovascular Ultrasound Software

The software created by RSIP Vision uses segmentation algorithms that isolate heart walls in a noisy ultrasound image. The combination of RSIP’s image processing software with cardiovascular ultrasound provides detailed noninvasive heart monitoring system, transforming a noisy image into a clear view of the heart ventricles, enabling the medical professional to witness heart function and activities.

Cell Classification software

Whenever the task of classification of single cells is required, RSIP Vision offers pioneering technologies in both segmentation and classification of cells and nuclei. This module includes also the initial task of locating the best area in the slide that might give the best candidate for the classification.

Three-dimensional reconstruction of a deformable object

Reconstruction of the three-dimensional surface of an object based on single view 2-D sequence of images is a highly challenging task. Challenges stem in part

Degenerative Diseases Detection in the Eye

Modern imaging knows how to capture an image to see through the eye tissue transparency and inspect retina, vasculature and neural tissue: this phenomenon is

Temporary pediatric strabismus in newborn baby

Image processing for pediatric strabismus

Strabismus is a disorder in which the eyes are not properly aligned and point to different directions. When this happens, the “straighter” eye becomes more dominant and the

ROP - Vessel tortuosity in Retinopathy of Prematurity

ROP: Retinopathy of Prematurity

Retinopathy of prematurity (ROP) is a leading cause of blindness in infants. ROP (or Terry syndrome) is a disease of the eye affecting prematurely-born, low

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

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.

Retinal images enhancement

Image enhancement of retinal structures has the potential to facilitate diagnosis of several eye diseases. Retinal disease diagnosis and monitoring often requires very delicate analysis

OCR Check Scanner

Due to the different styles of handwritten characters, digitalizing check information can be very challenging. But not enough for RSIP Vision’s engineers, who built software for a client to enable him to do just that: detect different handwriting as well as printed check information and transmit all this data from smartphones to the bank. The result is that bank customers using the app which we developed for our client can deposit checks by simply placing their smartphone over the check.

Pattern Recognition for Lens Markings Detection

Lens marking refers to the placement of temporary and/or permanent marking, semi-visible laser engraving for the use of lens identification and trademarks, and accurate placement

Visual Inspection of Semiconductors

Semiconductors mass production needs exceptional levels of precision. Among the many processes needed to insure quality and reliability of chips, we were asked to verify that silicon chip masks imprint the right information on silicon wafers. This is a complex, multi-process computer vision task, to solve which we produced an advanced algorithmic software and vision system, the key advantage of which resides in the capture of critical errors early on in the semiconductor production process.

OCR Software for Low Contrast Images

It is not uncommon that images needing automatic Optical Character Recognition were originally taken in low light or under direct sunlight. RSIP Vision has developed software which accurately binarizes vehicle number plates even in low contrast images, resulting in quick and accurate transmission of license plate details to the client’s database for further action.

Tear film formation and meibomian glands

Meibomian gland dysfunction detection

Meibomian gland dysfunction is often seen as an early stage of dry eye syndrome. Indeed, Meibomian glands play a significant role in tears production by

Glaucoma Detection

Glaucoma, a high intraocular pressure (IOP) pathology, leading to damage of the optic nerve, can be better detected using deep learning techniques. When it detects the optical disc (the visible section of the optic nerve), the deep learning algorithm helps assess glaucoma in an automated way, starting from the region of interest and providing a reliable probability for the disease, which the physician will use to support both diagnosis and treatment decisions.

Retinal Detachment Detection

Retinal detachment occurs when part of the retina detaches itself from the pigmented cell layer of the RPE, depriving itself of blood and nutrition: this

Ultrasound Imaging of Speckled Cartilage Tissue

Density Measurement of Damaged Cartilage

Interpretation of ultrasound images of cartilage is challenging since they display no obvious borders in the transition between tissues: the boundary between tissues can morph in both density and texture. Our software can process these problematic ultrasound images and automatically measure the density of cartilage in the knee. The main benefits of this procedure are its non-invasive nature and the efficient and accurate measurement of the cartilage it provides.

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