This blog post introduces simple and affordable automation through the lens of capturing 3D data and analyzing it for machine vision applications!
We’re looking for a passionate and experienced developer to help build on the unique 3d vision technology used in research and robotics.
We are excited to announce two new external members to Aivero’s board of directors; Haakon Bryhni and Per Ivar Selvaag – bringing their expertise within high-speed communication and design thinking, respectively.
Collaborative robots (cobots) differ on variables such as weight, payload, reach and accuracy. These set the condition for what tasks a cobot can perform, thus affecting which one is best suited for your environment. However, they all have one thing in common: they shine in their ability to perform repetitive tasks, and with Aivero Do, this is scalable across multiple units and locations.
Despite being a distributed organization across countries, we are still a close-knit group of individuals at Aivero. This past year we are happy to have welcomed Michaela, Jimmi, Isak and Daniel to our team. Bringing their areas of expertise, from engineering to marketing, increasing our ability to improve performance in research and robotics, making AI services accessible to a broader set of users. So, what does it take to translate machine vision into a plug-and-play solution for monitoring and automation?
Moving towards a sustainable future, we join the collective efforts by applying our 3DQ technology to reduce the data transmission and storage capacity needed when monitoring discarded food in the catering industry.
There are different types of 3D sensors, that can differ between different methods to acquire world data or how that data is processed in order to represent it in a convenient way. This document entails a brief overview of the different 3D sensor types and a small survey of what sensors are currently available.
Add value to your data by introducing a third dimension to your video monitoring system. Using cameras with depth-sensing technology enables the collection of a richer data set, and allows for new features and a higher degree of accuracy.
We are proud to announce that we are part of a consortium that has secured a total of EUR 1.2 million in funding from the Eurostars programme.
Did you know that you might already be carrying a depth-sensing camera in your pocket? Nowadays more and more smartphones are sold with depth-sensing technology?
3D cameras are becoming more widespread, but RGB-D video proves difficult to compress. We compare three lossless depth video compression techniques against Aivero’s 3DQ compression.
In addition to our current support for the Intel RealSense D400 series cameras, we now also support the new Microsoft Azure Kinect.
Two months ago measures were put in place by Governments in order to slow down the spread of the coronavirus. For most people, this meant going from office life to home office life.
In Aivero we have open-sourced a set of GStreamer elements designed to allow opening the video streams from Intel RealSense D400 series RGB-D cameras.
Innovasjon Norge has approved funding to Aivero for a project that involves close collaboration with a large organisation in the USA.
In the end of October team members of Aivero travelled to Lyon to both attend and speak at this year’s GStreamer Conference.
In late September the Aivero team gathered in Stavanger for a sea and mountain retreat.
During the Summer Aivero closed a new fundraising round that included some of Norway’s most known early-stage investors.
The Microsoft Azure Kinect has arrived. This new exciting depth camera will soon be supported by our depth video streaming solution, the Aivero 3DQ.
In May Aivero participated in the Spring batch of the TINC program at the Nordic Innovation House in Palo Alto, California