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Build a 3D machine vision that scales
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.
Overview of cobots
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.
Fighting food waste with 3D machine vision: Data Capture
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.
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.
GStreamer elements for Intel RealSense open-sourced
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.
Overview of depth cameras
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.
