Solomon at Automatica 2025
Industrial AI Solutions for Smarter Manufacturing
Solomon is exhibiting at Automatica 2025, Europe’s leading trade fair for automation and robotics, from June 24–27 in Munich. Visit us at Booths B4-114 and B5-210 to experience our latest advancements in industrial AI and 3D vision technologies.
Why Visit Solomon?
We’re presenting four interactive demo stations that demonstrate how Solomon’s AI-powered vision systems support smarter, more agile manufacturing.
One-shot learning enables fast, flexible AI model training — allowing material handling systems to recognize new parts from just a few sample images. This solution is ideal for high-mix, low-volume production environments that demand speed and adaptability.
AI-guided cobot inspection integrates robotic automation with vision intelligence to deliver consistent, high-accuracy inspections. From surface defect detection to assembly validation, this solution enhances repeatability and in-line quality control.
META-aivi, our AR + AI vision platform for smart devices like smartphones, tablets, and drones, provides real-time visual guidance for complex tasks. This reduces manual errors and supports dynamic frontline operations.
SolVision AI vision system delivers high-resolution 3D vision for industrial inspection. Designed for fast-paced production environments, it enables precision inspection tasks like defect detection, classification, and OCR — improving quality control and reducing downtime.
Our team will be on-site to discuss these technologies, provide live demos, and help you evaluate how Solomon can support your automation and inspection goals with scalable, intelligent vision systems.
📩 Contact us here to schedule a meeting or connect with our experts.
One-shot learning enables fast, flexible AI model training — allowing material handling systems to recognize new parts from just a few sample images. This solution is ideal for high-mix, low-volume production environments that demand speed and adaptability.
AI-guided cobot inspection integrates robotic automation with vision intelligence to deliver consistent, high-accuracy inspections. From surface defect detection to assembly validation, this solution enhances repeatability and in-line quality control.
META-aivi, our AR + AI vision platform for smart devices like smartphones, tablets, and drones, provides real-time visual guidance for complex tasks. This reduces manual errors and supports dynamic frontline operations.
SolVision AI vision system delivers high-resolution 3D vision for industrial inspection. Designed for fast-paced production environments, it enables precision inspection tasks like defect detection, classification, and OCR — improving quality control and reducing downtime.
Our team will be on-site to discuss these technologies, provide live demos, and help you evaluate how Solomon can support your automation and inspection goals with scalable, intelligent vision systems.
📩 Contact us here to schedule a meeting or connect with our experts.
Exhibition Details
Event: Automatica 2025
Date: June 24–27, 2025
Time: 09:00–17:00
Booth: B4-114 & B5-210
Address: Messe München, Am Messeturm, 81829 Munich, Germany
Demo Stations
One-Shot Learning for Smart PickingBooth B4-114
Few-shot AI training enables rapid part recognition from minimal images, allowing immediate and accurate robotic picking in high-mix, low-volume environments.
AI-Guided Cobot for Visual InspectionBooth B4-114
The collaborative robot uses 3D calibration data to generate optimized inspection paths and performs multi-point visual checks with a 2D AI model for consistent, automated inspection.
AR + AI SOP Guidance for AssemblyBooth B5-210
META-aivi combines AR overlays with AI-driven validation to guide users through assembly steps while verifying task completion and accuracy, reducing cycle times and errors.
SolVision Insight: Precision Bearing InspectionBooth B5-210
SolVision uses 360° optical imaging and deep learning to detect micro-defects inside constrained components like bearings, improving inspection accuracy and reducing false positives.
