PACK EXPO 2026: JLS Automation unveils JLS VISION AI

Proprietary AI-driven vision technology enables select JLS robotic systems to turn touching, overlapping or stacked products into an organized flow

JLS Automation

By Robotics 24/7 Staff    October 18, 2026         

PACK EXPO 2026: JLS Automation unveils JLS VISION AI

JLS Automation

JLS VISION AI identifies and picks products from irregular, overlapping flow, then guides a JLS robotic system to organize them for the next operation. The technology will make its live debut at PACK EXPO 2026 in Chicago.

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PACK EXPO 2026: JLS Automation unveils JLS VISION AI

JLS Automation

JLS VISION AI identifies and picks products from irregular, overlapping flow, then guides a JLS robotic system to organize them for the next operation. The technology will make its live debut at PACK EXPO 2026 in Chicago.

JLS Automation, a designer and manufacturer of sanitary robotic packaging systems for the food industry, will unveil JLS VISION AI at PACK EXPO 2026 in Chicago.

The company said that booth visitors can see the technology guide a JLS robotic system through live pile picking, product organization and automated refeed demonstrations at the show.

JLS VISION AI at PACK EXPO 2026

JLS Automation said that JLS VISION AI is an AI-driven machine vision system developed for integration with select JLS robotic packaging systems. The company said that it is not a standalone machine or a retrofit offered for third-party equipment. JLS said the technology sees and interprets irregular product flow, then provides the information a JLS robotic system needs to decide what to pick and how to handle it.

JLS Automation said that traditional rules-based vision often depends on products arriving in a clean, separated monolayer. The company said that creating that presentation can require additional upstream equipment or people to sort and orient product before the next machine can do its job.

The company said that JLS VISION AI changes this approach by helping a JLS robotic system turn chaotic incoming product - even when items are touching, overlapping or stacked - into a controlled, organized flow for the next step.

“Product rarely arrives perfectly spaced,” said Mike Newcome, vice president of sales & marketing at JLS Automation. “Until now, limits on vision technology meant touching or overlapping product was treated as a non-pickable target. That's missed output, meaning fewer cases in the warehouse or on the truck at the end of the production day. Historically, you handle that with more upstream sorting equipment or by adding headcount, and both are expensive investments. JLS VISION AI widens that tolerance. Presentation doesn't have to be perfect for the pick to be successful.”

Using proprietary AI models and advanced training methods, JLS Automation said that JLS VISION AI detects and classifies products, determines which item is on top and therefore pickable, and continuously reacquires targets as products shift during picking. The company said its JLS robotic system acts on that guidance to pick, orient and organize the product for the downstream operation. JLS VISION AI processes images at up to 15 frames per second, helping keep vision processing from becoming the application bottleneck.

The company said that the platform supports 2D and 3D vision when height data is required, along with orientation detection, classification and inspection of product-specific features. JLS added that its AI-based approach is designed for products with natural variability in shape, size and presentation, including raw proteins, frozen foods, baked goods, flow-wrapped packages and brick-style packaged products, including transparent formats.

At PACK EXPO, the company said that JLS VISION AI will guide a JLS robotic system handling condiment packets presented in irregular, overlapping flow. The demonstration will show the system classifying packets by type, identifying the next pick, supporting orientation correction and organized placement, and reacquiring targets as surrounding packets move.

 

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Article Topics

Artificial Intelligence   Machine Vision   Industrial Automation   Collaborative Robots   Robot Arm   Components   Grippers   Sensors   Cameras   Lidar   Inspection   Machine Vision   Object Detection   PACK EXPO   Packaging  

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