Extracting Features for Fingerprint Recognition and Matching
Fingerprint matching is used extensively in biometric identity verification for purposes ranging from forensic to recreational. The set of geometrical patterns, such as the ridges, whorls, and twists, enables to uniquely identify individuals (as far as we know): datasets of known fingerprints hav...
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Fingerprint Segmentation Using Deep Learning
Automatic fingerprint recognition systems are based on the extraction of features from scanned fingerprint image. A successful preprocessing of the scan is an important first step towards a successful recognition, that is, comparison against a known database or the extraction of information chara...
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OCR for robots
OCR (Optical Character Recognition) modules are being used in robotics. They allow robots to understand text, an essential function in some robotic applications. OCR capability enables robots to handle items identified by imprinted text. Retail applications use robots to identify products on shel...
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Robots Using Machine Vision in Retail
Robots are already being used in the retail industry. Major applications of such robots will be explained in this article. Some of their functionalities are available today, while other still represent a challenge. Robotics tasks using Machine Vision in Retail Robotic automation can be found in s...
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Automatic Object Recognition Algorithm
Automatic object recognition is a highly challenging task in computer vision. These challenges can be caused by many factors reducing the recognition rate of a given algorithm, such as image blur, non-standard viewing angle of the object, partial occlusion and illumination, to list only a few. Di...
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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 of guiding lines along which lenses are cut. In the process of lens manufacturing, accurate placement and localization...
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Bounded Objects Detection and Related Applications in Forestry
Using aerial images taken by drone, plane or satellite, RSIP Vision develops software for image processing and analysis in forestry to efficiently determine: Forest border delineation Automatic detection of the forest border and its sub section borders. This capability is used to update geographi...
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Real time OCR in natural scenes
The localization and recognition of written characters has long been utilized by the industries for a variety of applications. Most Optical Character Recognition (OCR) system perform accurately when working in sterile environment, e.g. scanners and static scenes. With the advancement in technolog...
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Animal Monitoring With Pattern Recognition
Automatic Identification of Pigs in a Pen Using Pattern Recognition The growing demand for animal products is characterized, at the farmer’s end, by an increased need for staff to manage and monitor the stock. It is estimated that by 2030 the world will experience a growth of 40% in the de...
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Machine Learning – Video Classification & Object Recognition
RSIP Vision wrote advanced video classification software that recognizes the content of widely varied videos, enabling them to be paired with relevant ads.
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Automatic Flower Sorting
RSIP Vision created an automatic classification system which can identify flowers, buds & stems of different breeds, sizes & shapes, using image processing.
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OCR Software – Low Contrast Images
RSIP Vision created OCR Software that detects license plate numbers, converting the images to binary code using computer vision techniques.
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OCR – Check Scanner
OCR – Checks: OCR project undertaken by RSIP Vision for a large bank, which enables the bank's clients to deposit a check using their smartphones.
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Pattern Recognition – Lens Markings
RSIP Vision developed pattern recognition algorithms that work in a range of light conditions and recognize markings even when the lines are broken or faint
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Video Tracking – Animal Behavior
RSIP Vision’s video tracking animal behavior solutions provide efficient & accurate results, freeing researchers to spend more time on analysis of results.
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Machine Learning, Pattern Recognition & Classification
RSIP Vision's pattern recognition and classification techniques assign input values to a given set of classes teaching the software to classify without help.
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Video Tracking
RSIP Vision's algorithms can detect and follow a subject through video footage, tracking the figure when occluded or surrounded by similar objects.
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