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Evans Deploys Machine Vision AI to Improve Warehouse Efficiency

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According to a recent release, Evans Distribution Systems, a provider of third-party logistics and supply chain solutions, has set out to improve its warehouse packing line with IoT by adding a machine vision AI solution.

Evans has deployed the ADLINK Edge Smart Pallet solution, according to the release, which will use two GigE cameras, an Edge AI Gateway computer and ADLINK Edge software. Package contents reportedly are recorded and classified as they move along the packing line and rule-based analytics are designed to identify any incorrect contents.

The solution cross references the box contents on the packing line, via vision data, against the packing list on Evans’ Warehouse Management System and if an error is detected, it prints a label on the box to show that a manual quality check is required, according to the release.

“Our investment in this technology from ADLINK is a small step toward a larger organizational goal: To provide the highest quality service to Evans customers using people and innovation to enhance the end-to-end supply chain,” said Steve Ruch, VP, Warehousing, Evans. “The goal is to enhance our current operations with a nondisruptive technology and machine vision AI has great potential to transform our business. The packing line conveyor still works in the same way but this machine is over 99 percent accurate, allowing us to utilize the valuable skills of our people in other areas more efficiently.”

“Our Smart Pallet solution is out of the box technology with minimal configuration and is proven to transform warehouse logistics operations. It replaces traditional barcode hand-scanning by using machine learning to help automate correct packing in the warehouse, removing errors in inventory,” said Daniel Collins, Director of IoT Solutions, ADLINK Americas. “As a smart solution, Smart Pallet includes all the hardware, software and training needed, including ADLINK’s leading Smart Cameras, Edge IoT software for real-time connectivity and Edge IoT apps for machine vision.”


Ken Briodagh is a storyteller, writer and editor with about two decades of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh

Editorial Director

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