Technology and Innovations - Shenzhen Nanovision Technology Co., Ltd.

VLM large model visual understanding

VLM-powered visual understanding

Inspection Beyond Vision: From Perception to Intelligence.” Moving beyond "mechanical recognition" to empower vision systems with "cognitive intelligence."
- Semantic-level defect analysis
  
  More than just detecting defects, our system interprets their origins—such as welding bubbles from thermal inconsistency—to empower data-driven decisions for line optimization.
- Few-shot rapid adaptation
  
  Achieve rapid deployment across new lines and products with minimal data labeling, drastically lowering transition costs and accelerating time-to-market.
- Natural language interaction
  
  Issue inspection commands using everyday language (e.g., "Identify scratches on this part"). Our intuitive interface allows non-experts to operate the system with ease.
Brain-inspired low-power inference

Neuromorphic low-power inference
A vision system as efficient as the human brain. Proprietary neuromorphic computing architecture breaks through traditional power bottlenecks, balancing high performance with cost-efficiency.
- Extremely low power consumption
  
  The power consumption is only half that of traditional GPU solutions, significantly reducing energy costs for production lines during long-term operation.
- Millisecond-level response
  
  Supports local deployment at the edge device, provides real-time feedback on detection instructions, and is adapted to the needs of high-speed production lines.
- Intelligent energy saving
  
  Event-driven operation with automatic low-power standby during idle periods, balancing 24/7 continuous operation with optimized energy consumption.
A perfect combination of tradition and AI. By combining the "precision" of traditional computer vision with the "intelligence" of deep learning, we can achieve a dual leap forward in detection capabilities.
Deep learning fusion

Deep Learning Integration
- Sub-pixel level precise positioning
  
  Achieve high-precision identification of minute defects (such as hairline scratches and micron-level dimensional deviations).
- Complex texture defect identification
  
  Easily handles defect detection on complex surfaces such as brushed metal and fabric textures, overcoming the limitations of traditional vision systems.
- Self-learning and continuous optimization
  
  The model dynamically iterates with production line data, continuously improving detection accuracy and adaptability.
More than just algorithms—a complete solution. From algorithms to production lines, we provide end-to-end implementation capabilities.
End-to-end system integration

End-to-end system integration
- Seamless integration of production line systems.
  
  Seamless data interoperability with industrial systems like PLC, MES, and ERP, ensuring inspection results are synchronized directly into the production management chain.
- Fully automated sorting and traceability
  
  Automating the entire workflow—detection, sorting, and data recording—to ensure pinpoint traceability and integrated closed-loop control for all defects.
- Cloud-edge collaborative deployment
  
  Supporting localized edge-side operation and cloud-based data aggregation, balancing real-time responsiveness with global management requirements.