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


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.


Our founding team has been working together in the 3D sensing field and computer vision field for close to ten years, in consumer and logistics applications.
We have built and/or worked with a variety of types of 3D and 2D sensors, and developed many different system approaches in computer vision and machine learning to provide automation of many human basic perception tasks in dimensioning, identification and inspection.

About us

Bin An


Bin oversees the operational aspects of QBOID and manages the critical relationships with our supply chain partners in Asia.

Bin has a BSEE from USTC in China, and a Masters in Computer Vision from UCSC.

Francesco Peruch, PhD


Francesco oversees all development efforts from system hardware and software design, to user interface and user experience design, as well as directing calibration and manufacturing requirements.

Francesco has a PhD in Computer Science from University of Padova.

Tony Zuccarino


Tony oversees all marketing, business development and sales activities.

Tony has a BSEE from UIUC, and an MBA from USC.

Stefano Huber

Software Engineer, EU

Stefano works on optimization solutions and computer vision algorithm design and implementations.

Stefano has a BSEE from University of Trento, and Master from EPFL.

Davide Zanella

Software Engineer, EU

Davide works on computer vision system and application level design and implementations.

Davide has a BSEE and Masters from University of Trento.

Aiden Yan

Business Operations, China

Aiden is managing partnerships and business development with partners, suppliers and customers in China.

Aiden has a BS in Chemistry from Jiangxi Shangrao College.

Stephen Zhang

Project Manager, China

Stephen is managing the implementation and production of QBOID designs at our ODM and manufacturers.

Stephen has a BSEE from Anhui University.

Denis Deronjic

Software Engineer, EU

Denis specializes in mobile and cloud application design and implementation.

Denis has a BSEE and Masters from University of Padua.