Rili Technology's AI Breakthrough Sharpens Industrial Vision

In a significant advancement for manufacturing quality control, Rili Technology has introduced UEX, China's first AI-powered super-enhancement system specifically designed for industrial X-ray inspection. This innovation arrives as factories increasingly demand faster, more precise defect detection without compromising worker safety.

Lightning-Fast Image Processing

The system's standout feature is its blistering speed—processing high-resolution 1536×1536 pixel images in just 15 milliseconds. "That's faster than the blink of an eye," explains Dr. Liang Wei, Rili's chief technology officer. "When you're inspecting thousands of semiconductor chips or battery components daily, these microseconds add up to substantial productivity gains."

UEX achieves this through a sophisticated blend of deep learning algorithms handling multiple tasks simultaneously:

• Noise reduction for clearer images
• Deblurring to sharpen fine details
• Low-light enhancement that maintains accuracy
• Contrast optimization highlighting potential defects

Practical Benefits for Manufacturers

On factory floors, the technology demonstrates tangible advantages:

1. Defect Detection at Microscopic Scale The system reveals imperfections as small as micrometers—critical when examining delicate semiconductor wafers or lithium-ion battery layers. Enhanced images provide superior input for subsequent AI analysis, reducing false positives in quality checks.

2. Safer Working Conditions By shortening imaging time by up to 80%, UEX significantly decreases radiation exposure for both products and personnel. Automotive casting plants using the system report reducing typical scan times from 2 minutes to under 25 seconds.

Behind the Scenes: The Tech Powering UEX

The system leverages two proprietary assets:

1. China's largest collection of high-quality industrial X-ray images (over 5 million annotated samples)
2. A custom evaluation framework measuring enhancement effectiveness specific to manufacturing contexts

"Traditional algorithms struggled with varied materials and complex structures," notes Dr. Liang. "Our vertical visual model understands industrial imaging's unique challenges—whether it's the layered composition of battery cells or porosity in metal castings."

Current Applications and Future Potential

UEX already supports critical inspections across industries:

• Semiconductors: Detecting micro-cracks in chip packaging
• Electric Vehicles: Scanning lithium battery electrode integrity
• Aerospace: Identifying voids in turbine blade castings
• Food Safety: Spotting minute contaminants in packaged goods

The technology integrates seamlessly with existing equipment through standardized communication protocols, minimizing adoption barriers for manufacturers.

Key Points:

• Speed: Processes high-res images in 15ms (10ms end-to-end latency)
• Precision: Reveals micrometer-scale defects invisible to conventional systems
• Flexibility: Modular design adapts to various industrial scenarios
• Safety: Reduces radiation exposure by up to 80%
• Compatibility: Works with major X-ray equipment brands