Solomon Technology, a leader in AI and robotics solutions, has developed a powerful platform for rapid AI customization in vision applications.
The platform seamlessly integrates AI with 3D vision systems. It offers businesses an efficient, no-code solution for automating complex tasks and improving operational precision.
This platform is particularly notable for its versatility, supporting over 20 robot brands, multiple 2D and 3D camera systems, and even autonomous mobile robots and drones. Solomon's AI-driven approach significantly reduces the data requirements for training models, enabling faster, more accurate deployment with minimal input.
Johnny Chen, Chairman of Solomon Technology, highlighted the platform's ability to train AI models with remarkably small datasets - often requiring only 30-150 sample images to achieve high accuracy. This is a significant improvement over traditional approaches that may require thousands of images.
"When a lot of people talk about AI, we frequently are asked by customers, how many images do you need to train an AI model?" Chen noted. "A lot of times when customers, having worked with a lot of other suppliers, they hear thousands or quite a few hundreds."
The platform has already been deployed in diverse scenarios. In the automotive industry, it's automating bin picking and parts handling for major suppliers, significantly improving efficiency in production lines. For car manufacturers, the technology enables vision-guided robotics for precise spraying, adapting to slight variations in car positioning that would challenge traditional robotic systems.
In quality control, the platform is powering AI-based defect inspection for a wide range of products. From detecting minute flaws in contact lenses to identifying defects in fast-moving food items like chicken nuggets, the system is proving its versatility and accuracy across different manufacturing contexts.
Beyond traditional manufacturing, the platform is finding applications in infrastructure maintenance and logistics. It's being used to facilitate drone-based inspections of wind turbines, allowing for early detection of potential issues without putting human inspectors at risk. In the transportation sector, the technology is streamlining luggage handling processes at major Asian airports, improving efficiency and reducing delays.
"When we add AI and AR, we constantly receive a lot of different applications we never thought about," Chen explained.
Perhaps most surprisingly, the technology has found novel applications in unexpected places. A pet store chain in Taiwan is using the platform to help new employees quickly identify dog breeds and provide appropriate product recommendations.
A key focus for Solomon is making the platform accessible to small and medium enterprises that may lack extensive AI expertise. The no-code development environment allows users to build custom applications by connecting functional blocks, similar to assembling Lego pieces.
As AI vision technology becomes more powerful and accessible, industries are likely to see ongoing innovation. By focusing on rapid AI customization and user-friendly solutions, Solomon Technology's platform illustrates how lowering the barriers to AI implementation can facilitate operational improvements across industries.
