PRODUCTS
SOLUTION
XINGHAN AI
Introduction to Xinghan AI
Xinghan AI focuses on the field of industrial intelligent inspection. With big data collation and in-depth analysis as its core, and supported by "interpretable and traceable" data, it runs through the entire R&D-production-sales process. It helps enterprises make data-driven decisions and achieve refined operations, serving as a key core platform for Aijiang Technology's cross-field expansion.
Keyword:
Function Overview
- Multimodal Data Fusion: Integrates multi-dimensional test data including IV/EL/PL/QE and photoaging to build a comprehensive inspection data system.
- High-Precision Inspection and Recognition: Equipped with independently developed multimodal AI algorithms and nanoscale spectral analysis technology, achieving a leading domestic level in defect recognition accuracy.
- Intelligent Prediction and Forecasting: Based on neural network models, accurately predicts battery performance and functional formulas to avoid production risks in advance.
- Flexible and Practical Deployment: Supports on-premises deployment + experience digitalization, seamlessly adapting to actual production line needs for rapid implementation and results.
- Efficient Cost Reduction and Empowerment: Optimizes inspection processes, improving inspection efficiency by more than 10 times and helping significantly reduce production line costs.
- Data-Driven Decision-Making: Outputs detailed analysis reports to assist management in quickly responding to market changes.
Comparison with Traditional Inspection
|
|
Defect Recognition Precision |
Quality of Vertical Models |
Multimodal Data Analysis |
Edge Computing Innovation |
On-Premises Deployment |
Decision-Making Capability Enhancement |
Cost Reduction and Efficiency Improvement |
|
Traditional Inspection |
Relying on manual work |
Dispersed data |
Difficult analysis |
None |
Inflexible |
Lengthy decision-making process |
High time and labor costs |
|
Xinghan AI |
Automatic recognition |
Centralized data |
Automatic analysis/production reports |
Available |
Flexible |
Provides multi-dimensional decision analysis to improve product efficiency |
Reduces industry inspection costs by 40% |
Market Competitiveness
- Technological Originality: For the first time, realizes the integrated application of neural network algorithms and image recognition AI algorithms, creating the industry's first multimodal optoelectronic feature analysis large model and promoting in-depth integration of AI and industry.
- Data Barrier Advantage: Builds a standard dataset covering multi-field and multi-type materials, laying a core data foundation for the in-depth application of AI in the industry.
- Outstanding Implementation Capability: Technical solutions have been maturely applied in six major fields, combining technological advancement and industrial practicality to meet the needs of enterprises of different sizes.
- Great Expansion Potential: Based on core technologies, it can be horizontally extended to multi-field inspection scenarios, aligning with the needs of high-quality industrial development and boasting broad market space.
Application Scenarios
Addressing the industry pain points of "low intelligence, insufficient precision and efficiency" in the inspection of new optoelectronic materials such as perovskite, Xinghan AI builds a multimodal large model for quality inspection of new optoelectronic materials, overcomes the technical bottleneck of spectral matching testing, and constructs the world's largest quality dataset of new optoelectronic materials (including 25 types of perovskite materials and 38 quantum dot structures).
Project Achievements
- Accurate and Efficient Defect Recognition: Quickly captures key performance parameters such as internal defect distribution of batteries and carrier recombination, providing high-precision data support for battery process optimization.
- Multimodal Data Traceability: Locates the problem of insufficient long-wave response through Quantum Efficiency (QE) testing, excludes underlying crystalline silicon defects with Photoluminescence (PL), locks in the hidden danger of light leakage from pinholes at the edge of the perovskite layer by means of Electroluminescence (EL), and finally verifies the core crux of energy level mismatch through Current-Voltage (IV) characteristics, realizing accurate traceability of full-link problems.
Application Expansion
Photovoltaic testing field
Aerospace field
Semiconductor testing filed
Energy storage field
Future Outlook
In the future, Xinghan AI will continue to break through domain boundaries, horizontally expanding to inspection scenarios of more advanced materials such as nanomaterials, new textiles, and plastic materials. It will deeply empower global industrial quality control and technological innovation, serving as a key entry point for Aijiang Technology to deepen industrial intelligence and expand the global market, and helping China's material industry achieve high-quality development.
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Add: Room 3513 World Trade Building No.686 Jiefang Ave Wuhan City China
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