Hall 2, Booth 2A30
The logistics industry is under intense pressure to transform: rising shipment volumes, increasing product and format diversity, and the demand for end-to-end transparency call for new, intelligent automation concepts. Machine vision and AI-based vision systems are becoming key enablers of robust, scalable logistics automation. At LogiMAT 2026, IMAGO Technologies will show the concrete contribution modern AI-vision solutions can make to optimizing logistics processes.
LOGISTICS AUTOMATION: RELIABLE PROCESSES IN CONTINUOUS MOTION
A central focus of the trade-show presentation is the automation of typical logistics processes along conveyor and sorting lines. Live demonstrations illustrate how parcels in continuous motion are identified, labels verified, and relevant information provided in real time. The showcased scenarios demonstrate how machine vision can be stably integrated into existing logistics automation—designed for continuous operation, changing formats, and real-world process speeds. In doing so, IMAGO addresses key challenges of modern logistics facilities: scalability, adaptability, and operational reliability.
LOGISTICS AI: PREDICTIVE ANALYSIS INSTEAD OF REACTIVE FAULT HANDLING
Beyond classical automation, logistics AI is increasingly coming into focus. Using practical scenarios, IMAGO demonstrates how AI-based vision solutions detect deviations at an early stage—before they lead to downtime or quality issues. The combination of continuous image acquisition and intelligent analysis enables predictive process assessment and supports maintenance, optimization, and root-cause analysis.
Another application area is AI-assisted inspection of containers and load carriers. Without the need for complex rule definitions or pre-labeled training data, deviations such as contamination, incorrect filling, or surface anomalies can be detected. This shows how logistics AI can be deployed with a low barrier to entry while meaningfully complementing classical inspection concepts.
LOGISTICS AI FOR SAFETY AND COMPLIANCE IN THE WORKPLACE
Safety and compliance applications also benefit from AI-based image processing. Demonstrated solutions show how people, vehicles, and safety-relevant features can be reliably detected—privacy-compliant and without additional sensors. For operators of logistics facilities, this creates added value through increased safety with minimal integration effort.
All showcased solutions are based on modular, openly designed architectures and are engineered for maintenance-free continuous operation. The exhibition is complemented by the presentation of a new generation of compact, AI-capable vision sensors developed specifically for dynamic logistics processes, opening up new possibilities between simple sensor solutions and complex high-performance systems.
“Logistics today needs systems that are not only powerful, but above all flexible, transparent, and permanently stable,” says Christoph Siemon, VP Sales & R&D at IMAGO Technologies. “At LogiMAT, we show how AI-based image processing concretely helps automate processes, detect errors early, and secure operations sustainably.”
