JLS Automation Will Unveil Vision AI in Chicago

The company will debut its advanced robotic vision platform at PACK EXPO International this October.

Updated on Sept. 23, 2026 in Robotics

Isometric editorial illustration of a robotic arm working on a conveyor belt, representing automated packaging technology. — JLS Automation is set to launch its JLS VISION AI platform at PACK EXPO International in Chicago, aiming to improve end-of-line packaging accuracy. AI Illustration. Upload story photo >

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JLS Automation plans to launch its new JLS VISION AI system at PACK EXPO International in Chicago, scheduled for October 18-21, 2026. This machine vision platform is designed to integrate specifically with the firm's own robotic packaging systems.

Why it matters

Traditional vision technology often struggles with complex product arrangements, frequently requiring perfectly separated items to function. This new system aims to eliminate the need for manual sorting or additional upstream hardware by identifying items even when they are stacked or overlapping.

The system processes images at a rate of 15 frames per second and supports both 2D and 3D vision capabilities. It is designed exclusively for JLS robotic systems and is not available as a retrofit for third-party equipment.

The players

JLS Automation

JLS Automation is a manufacturer specializing in robotic packaging systems for the food and pharmaceutical industries.

The details

The platform utilizes proprietary AI models to continuously reacquire product targets as they shift during the picking process. By accurately classifying objects that are touching or overlapping, the system seeks to streamline end-of-line packaging operations.

The JLS VISION AI will be unveiled at PACK EXPO International from October 18-21, 2026.

The Tech Race

The robotics industry is currently transitioning away from legacy vision systems that rely on rigid product presentation to maintain efficiency. This development positions JLS Automation to better compete against firms leveraging advanced AI to solve complex picking and packing challenges.

Facility managers and packaging operators can expect a reduction in the reliance on manual sorting labor for irregular product loads. The system enables higher throughput by allowing machines to handle complex product orientations that previously required human intervention.

The takeaway

Advancements in AI-driven vision systems are increasingly allowing industrial robots to perform tasks that once required significant human oversight. Operators looking to upgrade their production lines should prioritize systems that can adapt to changing product configurations without extensive hardware retrofits.