We are thrilled to empower the most challenging industrial applications. Every day, we try to go around the laws of physics and get the most out of every photon. The result of this work is our new 3D camera technology that will push the boundaries of 3D vision to an unprecedented dimension.
"We are thrilled to empower the most challenging industrial applications. Every day, we try to go around the laws of physics and get the most out of every photon. The result of this work is our new 3D camera technology that will push the boundaries of 3D vision to an unprecedented dimension."
"A whole portfolio of different 3D technologies is available for mastering the many different tasks. One technology, however, we have painfully missed so far: the high accuracy snap-shot area scan of large work areas in motion. Now Photoneo has closed the gap and is presenting the market with the MotionCam-3D (former Phoxi 3D Camera), a unique product to date."
Vision Award 2018 laudatory speech by Gabriele Jansen, Managing Director of the M&A consulting firm, Vision Ventures and member of the VISION Award jury
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Understanding the environment by robotic systems will be game-changer for the next industrial revolution. Robots, as machines, are nearly perfect, being precise and robust. However, they are blind. With our 3D vision, they get their human-like eyes, and their usage becomes much wider, improved flexibility.
The eyes and brains of robots comes in the form of new 3D cameras and deep learning systems, able to identify not only what has happened ased on a past experience but to predict what may happen.
Machine vision is one of the driving forces of industrial automation. For a long time, it’s been primarily pushed forward by improvements made in 2D image sensing, and for some applications, 2D sensing is still an optimal tool to solve a problem. But the majority of challenges machine vision is facing today has a 3D character. Market offers a wide variety of 3D sensoric solutions, most of them claiming a superiority over their competition. While a lot of these claims are based on rational reasoning, one needs to understand differences and the fact that there is no one optimal solution that satisfies all needs.
While the idea of the robotic arm picking of randomly placed objects from a container is rather simple to imagine, real implementation brings big challenges. The article elaborates on such challenges experienced in an actual implementation, and the capability of hardware and software developed by Photoneo to tackle the issues. As a result, the 7-second cycle time covers picking a small metal object from a big scanning volume loaded with 10 000 parts, nailed by oriented placing. The area ratio of the size of parts being picked to the bin size is approximately 1:900.
The latest progress in the field of autonomous navigation in combination with user-friendly interfaces and modern materials enables the transfer of AGV technology, originally developed for industrial plants, into healthcare environment. A year of intensive development resulted in the introduction of Pathfinder – a prototype of what is now Photoneo's autonomous mobile robot Phollower 100. The paper elaborates both on the development and implementation phase of the mobile platform. See it in action on our YouTube channel .
AnyPick is Photoneo’s machine learning solution enabling robots to pick randomly placed objects from 1x1 cm. It comes pre-learned so it is not necessary to provide any CAD models of the objects - the AI-based location detection allows the robot to pick objects that it has not seen before. Photoneo provides a complete solution, including a 3D area sensor, calibration & alignment, set-up in a friendly user interface, large gripper database, trajectory planning and the AI/ML module which evaluates the scene, creates a heatmap and suggests gripping points. This paper explains the motivation behind coming up with AnyPick, its advantages and applications for which it is a perfect choice. It also describes how the application works and the results achieved. The end of the paper offers examples where you can see AnyPick in action.
The video testimonial can be viewed on Photoneo's YouTube channel.
The PhoXi 3D scanner provides accurate, high-resolution point clouds that work well for creating 3D scans of objects and for object recognition. The unit is extremely well engineered and durable, with an industrial strength case and connectors. Support has been superb - Photoneo staff have consistently responded to requests for help.
Photoneo® PhoXi® 3D Scanner XL was an important part of the sensor setup for our team NimbRo Picking at the Amazon Robotics Challenge 2017. The scanner was easy to integrate and worked well in our setup. Its 3D measurements of the workspace were the basis for controlling two manipulators for object stowing and picking.
PhoXi is a reliable 3D sensor for our robotic applications. It is also surrounded by a skilled team and a great support.
3D images grabbed by Phoxi 3D scanner are precise and stable, almost no user settings are required.
The 3D image generated by Photoneo is amazing compared to other equipments on the market. SDKs are intuitive and easy to use.
PhoXi 3D Scanner is an overall best industrial 3D camera we have used so far in terms of data quality and ease of use for varying objects.
Photoneo probably developed the most flexible 3D camera for robotic applications we have applied in last ten years.
Great product for the most advanced robotic applications.
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