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.
