Computer-Assisted Joint Replacement (hip and knee)
Pathologies in the joint regions are common especially among elderly patients. They are caused, in many cases, by wear and tear of the cartilage layer
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Robots in Medical Applications
Machine Vision and AI for orthopedic surgery are extensively used in solutions enabling robotic surgical procedures and other medical applications. The robot’s hand being more precise than the surgeon, more and more surgeries are performed by properly equipped surgical robots. Besides the details of medical robotics applications, this article discusses also other medical systems, in particular Virtual Reality in medicine, by which RSIP Vision makes it possible to develop a simulator for complex and risky surgeries like brain surgeries.
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OCR for robots
Robotic tasks may involve reading and understanding written text. When conditions are optimal, camera mounted on robots allow them to interpret text without major obstacles: but oftentimes, this OCR task for robots needs to overcome difficulties, be these due to the position and type of the camera, lighting conditions, the quality of written characters, the shape of the object bearing the text or else. RSIP Vision engineers are experts also in this branch of OCR and can recommend the best solution for your project.
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Robots Using Machine Vision in Retail
Here are practical examples of robots using Machine Vision techniques in retail applications and tasks, going from picking, sorting and packaging activities within a distribution warehouse to store inventory management, customer service and other robotic automation tasks. This articles by RSIP Vision hints also at future version of robots, directly servicing customers in retail shops.
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Machine Vision in industrial applications
Robots working in industrial applications perform many valuable tasks: from inspection to quality control, from assembling to locating/transporting parts. These tasks need highly accurate visual feedback: the robot is conveniently equipped with a camera as needed by the application. Machine vision systems operating in the industry can be of different kinds and must find solution to different challenges.
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Machine Vision for Robotics
This article explains how different types of cameras provide mechanical support to robots by helping them navigate in the real world. Besides that, robots serving in different fields of activity require different skills. As a result, you will read here the different ways by which Machine Vision algorithms power robots in the main industries and markets, each according to their desired tasks.
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Object Detection Methods for Robots
Robots need to recognize objects, if we want them to perform their activity. To solve this challenge, they take advantage of object detection and classification algorithms which give them the ability to be efficient and practical in the recognition tasks. Machine learning software enable robots to detect all instances of an object. This article details the different classes of object detection methods for robots, including the most sophisticated ones, based on Convolutional Neural Networks.
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Machine Vision Robots for Semiconductors
Machine vision algorithms are also used to operate robots in the high-precision semiconductor industry. Robots perform these intelligent tasks supported by machine vision software: several methods are currently used to detect defects and classify them, with important economies in both time and money. Robots in the semiconductor industry too can take advantage of deep learning techniques: their main benefit is the dramatic improvement in the defect classification abilities of the robotic devices.
Robots using Machine Vision in Agriculture
Among the many tasks performed by robots in agriculture, a large part is activated by machine vision algorithms. A very partial list of these tasks would include fields plowing, seeds planting, weeds handling, monitoring of produce growth (be it via ground-based robots or by flying robotic UAVs), fruits and vegetables picking, as well as sorting and grading of produce. This article gives a panoramic view of what our algorithms for robotics can do for your project in agriculture, including robots using Deep Learning in agriculture.
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Image processing for Precision Agriculture
Precision agriculture describes a collection of engineering methods aimed at providing a rationale and operative management plan for farms, forests, vineyards, and other agricultural endeavors,
Biomedical image processing and algorithms
Biomedical image processing (or more precisely, biomedical image and signal processing) consists in sophisticated analytical methods and algorithms, ubiquitously found integrated into diagnostic equipment and
Biometric Detection and Measurement
Eyeglasses have been with us since the 13th century, although mass production and affordability to commoner (aside from clerics, scholars and wealthy people) has begun
Video tracking of animal behavior
Animals display a diverse set of behavior, not always well interpreted by humans: some of these behavioral patterns disclose animals’ intensions, needs, and distresses. Thousands
Three-dimensional reconstruction
Three-dimensional reconstruction of scene can be viewed as is the reproduction of a depth-map. Thus, as an input we have a sequence of images as
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.
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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
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
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