THE IDEA

Spatial reasoning tasks are found in critical paths of the logistics workflow, for example:

• What is the cube or dimensions of an object?
• What is the shape of the object, can it be stacked or nested?
• What is inverse of the shape of an object like a container, i.e. how much volume is occupied or available in the container?

By combining modern computer vision algorithms, cost effective 3D+2D sensors, and the vast Android mobile platform supply chain, we create a smartphone form factor with the perception skill to automate the answers to these questions that pop up for the many millions of items stored, packed and shipped every day

OUR APPROACH

A perception technology requires a careful system design balancing many factors, such as the mobile platform system architecture, 3D and 2D sensor properties, system thermal and mechanical stability, and not the least of which is the computer vision software stack which creates the perception and spatial reasoning from the 3D and 2D sensor streams. All on a battery operated system that needs to reliably perform in an an industrial environment

QBOID’s approach is to start with a carefully selected and tightly coupled 2D/3D sensor package, then integrate this package to the appropriate mobile platform providing reliable data quality while in use in industrial environments. We invest much effort in an ongoing calibration/characterization process so that our software understands what the sensors performance envelope is, and create most of our unique IP in the software stack to create reliable and usable quality of perception for logistics automation purposes.