Taking the Lead in Frontier Technologies
with Original Innovations
Zhijian Moqi Technology has filled the gap in the underlying layer of AI technology stack by creating multi-scale vector and graph representation framework.
The innovation has brought about a series of breakthroughs in different technical layers such as data storage, distributed management, high-performance search, unsupervised learning with small samples and privacy-preserving computation.
We have created the first complete unstructured data processing technology stack based on vector and graph representations, and successfully constructed a large-scale prototype platform, achieving a cross-generational breakthrough in the industry.
Zhijian Moqi Technology has filled the gap in the underlying layer of AI technology stack by creating multi-scale vector and graph representation framework.
The innovation has brought about a series of breakthroughs in different technical layers such as data storage, distributed management, high-performance search, unsupervised learning with small samples and privacy-preserving computation.
We have created the first complete unstructured data processing technology stack based on vector and graph representations, and successfully constructed a large-scale prototype platform, achieving a cross-generational breakthrough in the industry.
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Creation of universal vector and graph representations for complex data
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Diversified multi-scale representations to maintain the precision and stability of low quality or incomplete images
Diversified multi-scale representations to maintain the precision and stability of low quality or incomplete images
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Optimized CPU/GPU/NPU heterogeneous algorithm for multi-scale features
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Two orders of magnitude faster than traditional algorithms
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High-accuracy matching in billion-scale image database (99% accuracy rate among top 5%)
Creation of universal vector and graph representations for complex data
Diversified multi-scale representations to maintain the precision and stability of low quality or incomplete images
Optimized CPU/GPU/NPU heterogeneous algorithm for multi-scale features
Two orders of magnitude faster than traditional algorithms
High-accuracy matching in billion-scale image database (99% accuracy rate among top 5%)
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Achieving unsupervised learningthrough the internal signals of multi-scale features
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Constant improvement of accuracy with self-learning system
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Eliminating the need of human laborduring VLDB fingerprint matching process, far more accurate than the traditional labeled system
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Independently developed the first contactless fingerprint and palmprint acquisition technology with a significantly higher image quality than similar products in the market
Independently developed the first contactless fingerprint and palmprint acquisition technology with a significantly higher image quality than similar products in the market
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Multi-camera Vision + Structured Light creates 3D models for skin surface with sub-millimeter level precision
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The Wave-and-Scan feature ensures hygiene and convenience
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The system is able to recognize dry, wet, shallow and all forms of ambiguous fingerprints
Independently developed the first contactless fingerprint and palmprint acquisition technology with a significantly higher image quality than similar products in the market
Multi-camera Vision + Structured Light creates 3D models for skin surface with sub-millimeter level precision
The Wave-and-Scan feature ensures hygiene and convenience
The system is able to recognize dry, wet, shallow and all forms of ambiguous fingerprints
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Similar to passwords, only revocable and encrypted templates are stored to ensure high privacy security
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Using biometrics + key to generate non-invertible, matchable biometric templates
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Unique templates for different databases ensures no linkage yet revocable
