Industrial Vision Systems
During the past few decades, industrial automation of manufacturing processes has taken a great leap forward. Specifically, the increased quality of yield is due, in large part, to the rapid development of non-destructive inspection vision systems and their integration in the manufacturing proces...
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Intracranial Hemorrhage and Edema Segmentation
An intracranial hemorrhage (ICH) is a condition in which a blood vessel erupts inside the brain, causing internal bleeding. If not treated correctly and immediately, a brain hemorrhage can be deadly. The type of hemorrhage is usually diagnosed using a CT or MRI scan. Some hemorrhages are also acc...
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3D surface reconstruction from single depth view
The advances in the manufacturing of depth sensors and camera technologies, such as LIDAR and RealSense cameras, have brought three-dimensional (3D) applications to the front stage in nearly all domains of the industry. Reconstructed 3D surfaces from multiple images appear in applications ranging...
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3D Cardiac MRI automatic segmentation
Massive progress in 3D Cardiac magnetic resonance imaging (MRI) gives today access to good 3D mapping of the heart, using gating to synchronize to the systolic phase of the pulse. MRI can give good distinction between the different tissues and blood without any hazard connected to radiation. 3D C...
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Computer-Assisted Joint Replacement (hip and knee)
With use and time, body joints deteriorate, mainly as an effect of aging and shocks on the cartilage layer cushioning between bones. The consequences of this deterioration can be serious and cause problems to the regular functioning of the joint. Cases of hip and knee beginning to lose cartilage ...
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Robots in Medical Applications
In the recent years, robotic modules with their associated algorithmic software emerged in the surgery rooms. Here, some of their applications will be reviewed. They are used for orthopedic, brain and cardiac surgeries. Remotely operated robot in the surgery room are surgeon-controlled robots who...
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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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Machine Vision in industrial applications
Robots working in industrial applications need visual feedback. This is used to navigate, identify parts, collaborate with humans and fuse visual information with other sensors to enhance their location information. This is the reason for the use of machine vision in industrial applications. Robo...
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Machine Vision for Robotics
Robots are used today in many tasks taking a wide range of shapes, starting from human-like to robots that resemble machines. Their mechanical design (as the number of arms or the ability to navigate) is determined by the application they are intended to. One thing is almost common – they u...
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Object Detection Methods for Robots
Object detection and classification are major challenges for robotic modules. Navigation, Pick and Place and additional robotics activities are based on the ability to recognize object. Recent years has provided a great progress in object detection mainly due to machine learning methods that beca...
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Machine Vision Robots for Semiconductors
Robots have been used in the semiconductor industry for a long time. The functions of robots for semiconductors manufacturing operations are spawn over a wide range of tasks, from mechanical tasks up to intelligent tasks. The latter use machine vision. Defect detection in semiconductors manufactu...
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Robots using Machine Vision in Agriculture
Robots are widely used today in agriculture tasks. Many of these tasks require machine vision algorithms to operate successfully. The robots and their machine vision algorithms change form to best suit their function, starting from fields plowing, seeds planting, weeds handling, growth monitoring...
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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, to minimize the use of resources while maximizing yield. Precision agriculture utilizes advanced hardwa...
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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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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 clinical imaging modalities. The contribution of biomedical image processing and compute...
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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 around the onset of the industrial revolution. Once symbolizing old age and degradation, eyeglasses have integrated our life and ...
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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 of years of animal farming have enabled us to interpret a subset of animal behavior; yet, a large spectrum still remai...
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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 input, which their output is distances of each point of the target object from a reference point. There are many ways to reconstruct an object. Starting...
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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 one. . . Autonomous Driving is classified according to 5 Levels, all higher than Level Zero, where no au...
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