Showcasing Advanced AI and Robotics Solutions
Solomon is excited to announce our participation at CES 2025, one of the world’s leading technology events. Join us from January 7-10 at the Las Vegas Convention Center, where we’ll showcase groundbreaking AI and robotics solutions that are transforming operational efficiency and precision across industries.
Why Visit Us?
At our booth, we will demonstrate two of Solomon’s flagship products—META-aivi and AccuPick—with live demonstrations that highlight their real-world capabilities. META-aivi, our AI-powered AR solution, enhances remote collaboration, situational awareness, and operational efficiency by integrating AI vision systems with augmented reality, enabling real-time, interactive workflows for maintenance, quality inspection, and more. AccuPick uses advanced motion planning to automate precise bin picking and object handling, optimizing recognition and placement in logistics and manufacturing environments.
These demonstrations, enhanced by NVIDIA technologies, will showcase how META-aivi and AccuPick drive efficiency, accuracy, and operational excellence across industries such as logistics, manufacturing, and retail.
We look forward to welcoming you at CES 2025. Visit us at booth 9376 to discover how our AI and robotics solutions can optimize your operations, improve efficiency, and drive innovation in your industry.
For more information or to schedule a meeting during the event, contact us here.
Exhibition Details
Exhibition: CES 2025
Date: January 7-10, 2025
Time: 10:00–18:00
Address: Level 1, North Hall, Las Vegas Convention Center, 417 Convention Center Dr, Las Vegas, NV 89109, USA
Booth: 9376
Demo Stations
Dual Arm Bin Picking
Two robots simultaneously pick randomly placed objects from a bin, boosting throughput by up to 50%. Advanced collision avoidance ensures smooth, efficient operation as both arms reach into the bin. Leveraging NVIDIA Isaac, path calculation is significantly faster than conventional ROS systems, making this solution ideal for logistics and warehouse automation.
3D Vision & NVIDIA Isaac
Easily set target points directly on 3D CAD models, eliminating the need for a traditional teaching pendant. The system intelligently calculates optimal paths while avoiding obstacles, ensuring precise and efficient motion planning. Fully integrated with the NVIDIA Jetson Orin platform, it delivers exceptional performance and reliability for seamless deployment.
One-Shot Learning Object Recognition
With just a single image, AccuPick can instantly learn to recognize an item, allowing the robot to pick it accurately while ensuring the correct angle and orientation. This streamlines deployment and reduces setup time for various automation tasks.
AR + AI Intelligent Assembly Guidance System
AR + AI guides engine assembly using real-time spatial and object data. AI image recognition ensures accuracy, verifies steps, and records electronic history. Using NVIDIA Jetson Orin NX, it enables high-performance edge processing for efficiency.
Micro Defect Detection
META-aivi uses a webcam to detect defects, supports multiple devices, and employs AI for quality inspection and assembly guidance. It maintains electronic records and leverages NVIDIA technologies, including Triton and RTX structure, for advanced performance.
Retail AI Checkout System
META-aivi uses NVIDIA Triton and DeepStream for edge computing and IP cam integration. It recognizes products, calculates prices, and supports multiple payment options, streamlining the checkout process for a seamless retail experience.
Toolbox Inspection
META-aivi with Modbus indicator alerts provides an efficient detection and notification solution. Through AI visual recognition, packaging compliance can be quickly inspected, while the inspection results are used to control industrial indicators via Modbus communication instantly. This enables users to promptly respond to anomalies, significantly enhancing efficiency and quality while reducing human error.
Wiring Inspection
META-aivi uses AR glasses for wiring inspection to enhance inspection efficiency and accuracy. Real-time images and comparisons of on-site visuals with AI models are used to quickly identify whether the wiring complies with design standards or contains anomalies, such as connection errors, damage, or non-compliant components. During the inspection process, users can keep their hands free and receive detailed inspection results, correction suggestions, and step-by-step guidance directly in their field of view. This reduces human error, improves safety and reliability, and is particularly suitable for maintenance and troubleshooting tasks in complex environments.