Technology

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.



Tomas Kovacovsky,
CTO

 

 

Tomas Kovacovsky
CTO

"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 turn top performance 3D vision into reality.

One of the main challenges 3D vision providers face is an absence of proper knowledge on the subject within the industry. Some end clients have a lack of information about 3D or they have obsolete information. We have to be evangelists of 3D and elucidate the unused potential of 3D vision quite often. Many times, customers prefer 2D custom solutions because they are familiar with the technology but at the end of the day, they pay more because of the time spent on installation and further maintenance compared to 3D.

Understanding the environment by robotic systems will be a big 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, with 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 based on a past experience but to predict what may happen.


Parameters​ ​of​ ​3D​ ​Sensing​ ​Techniques​ ​In​ ​a​ ​Nutshell
White paper by our CTO Tomas Kovacovsky

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.


 

PhoXi® 3D Scanner In a Bin Picking Application
Use case paper by our Director of Robot Vision Adrian Kratky

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.


Pathfinder 
Paper on AGV Pathfinder, a predecessor of what is now the AMR Phollower 100, co-authored by our colleague Jan Bacik

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.