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
Fighting food waste with 3D machine vision
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.
We are hiring: Senior Machine Vision Engineer
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.
Whitepaper analysing and comparing common depth video compression techniques
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.
Fighting food waste with 3D machine vision
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.
We are hiring: Senior Machine Vision Engineer
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.
Whitepaper analysing and comparing common depth video compression techniques
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.
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
