Compress 3D depth video by 95%
3D video streaming over any network
Stream in Real Time & Low Latency
3D video streaming is the next big thing
Depth cameras and depth sensors takes your computer vision and machine vision applications to the next level. Intel has the RealSense range and Microsoft just launched the new Azure Kinect. Image sensor manufacturers are releasing TOF (time of flight) sensors which can sense depth and generate volumetric video from a single piece of miniature silicon. Many smartphone vendors are integrating these sensors already, opening up for new exciting applications.
Overall there is a wide range of applications that are adopting depth video. Depth video adds valuable data to your machine vision – improving accuracy, enabling better training of deep neural networks among other things. The different 3D cameras and depth sensors use a multitude of technologies to detect depth but they all have in common that they produce a format called RGB-D which in raw format causes unmanageable data. And the data rate is increasing as the resolution of these cameras improve over time. Soon we will have 4K depth cameras! Aivero’s technology addresses this issue by making it possible to compress and stream depth video in real time.
News
Back from Silicon Valley
In May Aivero participated in the Spring batch of the TINC program at the Nordic Innovation House in Palo Alto, California
Aivero brings 3D video streaming to Silicon Valley
In May we will head to Silicon Valley to be part of “TINC”, a tech incubator, at the Nordic Innovation House. The Nordic Innovation House is a collaboration among the Nordic countries and their mission is to be a “bridge connecting the cold corners of the globe with the main hotspots around the world”. The TINC program invites twice per year nine startups from the Nordic region to the Silicon Valley ecosystem.
Aivero at 4YFN / MWC Barcelona
Through our participation in RobotUnion, Aivero had the chance to participate in the 4YFN event during this year’s edition of the Mobile World Congress in Barcelona.
Depth data made manageable
Our state of the art 3DQ software library makes it easier to handle the vast amount of data generated by depth cameras. The 3DQ algorithm and integrated software tools compresses data efficiently and enables streaming of depth video from any depth cameras over local networks and the internet.
For customer who wants a plug and play solution, we also offer a plug and play solution with the Aivero Deepcore – a product based on the powerful Nvidia Jetson GPU/CPU, made specifically for computer vision and with the power to combine node processing with powerful cloud processing in real time.
20/1 Compression ratio
Camera agnostic
