RSIP Vision is attending AAOS 2026
New Orleans, LA – March 2 – 6, 2026 RSIP Vision is heading to AAOS in New Orleans from March 2–6, 2026 We’re bringing the
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RSIP Vision will be at the Spine Summit in Phoenix, AZ
Phoenix, AZ – February 26, 2026 RSIP Vision will be at the Spine Summit in Phoenix, AZ, February 26–March 1, 2026 Meet our CEO Ron
RSIP Vision will be attending the SAGES NBT Innovation weekend
Houston , TX – February 19, 2026 We’re excited to announce that RSIP Vision will be attending the SAGES NBT Innovation weekend on February 19-21 in
Announcement – XPlan.ai Confirms Premier Precision in Peer-Reviewed Clinical Study of its 2D-to-3D Knee Reconstruction Solution
The study, featured in the prestigious Journal of Clinical Medicine, found sub-millimeter accuracy on real-world patient imaging, enabling widespread access to precise, image-based computer-assisted surgery
Announcement – XPlan.ai by RSIP Vision Presents Successful Preliminary Results from Clinical Study of it’s XPlan 2D-to-3D Knee Bones Reconstruction
A tool for reconstruction of a 3D model of the knee from 2D X-ray images is being evaluated on clinical data at a leading medical
Announcement – New Urological AI Tool for 3D Reconstruction of the Ureter
RSIP Vision Presents New Urological AI Tool for 3D Reconstruction of the Ureter Improving Urological Procedures Innovative technology utilizes 2D fluoroscopic images and reconstructs an
PCNL – Planning and real-time navigation
Urolithiasis, or kidney stones, is a common pathology affecting nearly 10% of the population in the USA. Percutaneous Nephrolithotomy (PCNL) is a minimally invasive urology
Catheter Navigation System with RL
The typical catheter navigation system relies on fluoroscopy, which exposes patients to dangerous irradiation. To limit the dose throughout the operation, endoscopic cameras are used
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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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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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
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
Navigation Systems in Orthopedic Surgery
The navigation system is one of the most powerful tools for the surgeon in orthopedic surgery. The visualization system aids the surgeon to place his
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