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
ADAS
Life-saving algorithms which secure road safety with highest accuracy
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
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
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
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.
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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.
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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.
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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.
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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.
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