Honeywell and Stereolabs Partner on Mobile Solution for Supply Chain Logistics

Honeywell is collaborating with 3D vision and AI perception company Stereolabs on the development of a mobile solution that can quickly and accurately measure the size, volume, and weight of boxes and pallets in a distribution center to help increase delivery speed and lower shipping costs.

The joint solution will integrate the Stereolabs ZED stereoscopic camera and calculator with Honeywell’s SwiftDecoder barcode-decoding software to capture critical weight and dimension information. From there, data is to then be automatically uploaded to a central database, allowing a business to understand the volume and composition of the boxes and pallets transported in each trailer in real time so it can plan the most efficient and cost-effective way to transport, load or de-stock goods. Stereolabs’ stereoscopic cameras use a vision-based AI perception system to measure the dimensions of products.

A solution developed by Stereolabs and Honeywell combines AI-powered stereoscopic cameras with barcode-decoding software to track the size, volume, and weight of boxes and pallets within a distribution center to improve supply chain logistics. Courtesy of Honeywell.

“Products stored in a warehouse and transported on a truck contain a wealth of data, from weight and size to the item’s name, expiration date and warning label on the box,” said David Barker, president of Honeywell Productivity Solutions and Services. “Finding a way to capture this data in one place and use it effectively to streamline processes presents a challenge for many operations. By combining the strengths of Honeywell and Stereolabs, we can help the supply chain operate more efficiently and address major pain points.”

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Currently, many warehouses and logistics providers operate manually, with some using tape measures and weigh scales to determine the dimensions and weight of products for transport. Others use fixed systems or scan tunnels to identify and measure each box and package coming through a conveyor belt.

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Published: August 2025

Glossary

machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
machine learning: Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...
metrology: Metrology is the science and practice of measurement. It encompasses the theoretical and practical aspects of measurement, including the development of measurement standards, techniques, and instruments, as well as the application of measurement principles in various fields. The primary objectives of metrology are to ensure accuracy, reliability, and consistency in measurements and to establish traceability to recognized standards. Metrology plays a crucial role in science, industry,...

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