Modern manufacturing demands near zero-defect quality at production scale, yet existing inspection approaches remain fundamentally limited. Manual inspection is labor-intensive, inconsistent, and difficult to scale, while traditional machine vision systems struggle with variability in materials, surface conditions, and defect types. These limitations lead to defect escapes, excessive false rejects, increased waste, and reduced operational efficiency.
UnitX introduces a software-defined imaging and AI system designed for intelligent visual inspection at scale. The system combines software-defined multi-channel lighting, high-resolution 2D and 2.5D imaging, sample-efficient deep learning, generative AI, and high-speed edge inference into a unified, production-ready platform.
At its core, UnitX leverages software-defined imaging to dynamically control lighting conditions and capture defect-relevant features across complex and reflective surfaces. By generating 2.5D surface information through multi-angle illumination, the system enhances the detection of subtle defects that are difficult for conventional vision systems to identify. Its AI models are designed to learn from minimal labeled data, while integrated generative AI synthesizes realistic defect images to address data scarcity and improve model robustness.
The system operates inline at production speed, delivering real-time inspection results and seamlessly integrating with factory automation systems to provide immediate OK/NG decisions and fully traceable quality data. Its modular architecture supports rapid deployment, continuous model iteration, and scalable implementation across multiple production lines and facilities.
Compared to traditional vision systems, UnitX offers significantly improved adaptability, accuracy, and scalability. It reduces reliance on manual inspection, minimizes false rejects and defect escapes, and lowers overall operational costs. The solution has been successfully deployed in high-volume manufacturing industries such as automotive, consumer electronics, and battery production, with over 1,000 systems operating globally.
By transforming visual inspection into an adaptive, intelligent system, UnitX enables manufacturers to move from reactive quality control to autonomous quality assurance. This advancement improves product reliability and safety, reduces material waste, increases productivity, and strengthens the efficiency and competitiveness of modern manufacturing.
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About the Entrant
- Name:Manti Cao
- Type of entry:teamTeam members:
- Keven Wang
- Max Zheng
- Profession:
- Software used for this entry:C++


