R&D
Core technologies R&D team R&D Achievements
Core technologies
With artificial intelligence as the core,
Integrate Vision & IoT Tech
The core of artificial intelligence (AI) is deep learning, which automatically extracts feature values ​​from samples and learns the inherent patterns in the sample data. Its ultimate goal is to enable machines to have analytical and learning capabilities like humans, and to be able to recognize data such as text, images, and sounds.
Machine vision
Internet of Things
R&D team
Innovation driving force
IAR R&D Team

The company's core R&D team comprises PhDs from universities such as Xi'an Jiaotong University, Xi'an University of Electronic Science and Technology, and Xi'an University of Engineering, with an average of over ten years of industry experience, providing a fundamental and technological guarantee for the company's R&D and production. The company continues to increase its investment in scientific and technological research and development, attracting innovative talent to inject new momentum and enhance its innovation vitality.


Xi'an Huode has maintained close cooperative relationships with universities such as Xi'an University of Engineering, Xi'an University of Architecture and Technology, Xi'an University of Technology, and Xi'an University of Science and Technology for many years, jointly carrying out a number of industry-university-research cooperation projects. Numerous professors and doctoral students have provided strong R&D support for Xi'an Huode.

R&D Achievements
Scientific Research Awards
Innovation blooms, tech shapes tomorrow
Invention Patent
Utility Patents
Software copyright

Invention Patent

Automatic Detection and Classification Method of Textile Defects Based on Pattern Recognition and Image Processing

Invention Patent

Gabor Filter-Based Defect Detection Method for Printed Fabrics

Invention Patent

A method for detecting defects in dyed fabrics based on convolutional neural networks

Invention Patent

Crack propagation measurement system

Invention Patent

Machine vision-based fabric inspection machine and methods for detecting fabric defects using it

Invention Patent

A classification method for yarn tube appearance defects based on deep convolutional neural networks (Qin Bo)

Invention Patent

A method for image retrieval of printed fabrics based on hash coding

Utility patent

Surface defect detection of chopped strand mat

Utility patent

Online detection of defects in woven fabric

Utility patent

Automatic inspection system for yarn tube appearance

Utility patent

Yarn ball appearance defect detection system

Utility patent

High-speed intelligent fabric inspection system

Utility patent

Fiberglass chopped strand mat system

Utility patent

Fiberglass woven fabric testing device

Utility patent

Online fabric inspection system for looms

Utility patent

Direct yarn count online detection system

Software copyright

Online detection system for surface defects of chopped strand mat

Software copyright

Multi-axial online detection system

Software copyright

Online detection system for defects in woven fabric

Software copyright

Automatic inspection system for yarn tube appearance

Software copyright

Polymer raw material cleanliness detection system

Software copyright

Yarn Defect AI Detector System

Software copyright

Yarn ball appearance defect detection system

Software copyright

Carbon fiber yarn appearance inspection system

Software copyright

Automatic detection system for linear density of carbon fiber precursor

Software copyright

Visualized weft yarn detection system

Software copyright

Online inspection system for looms

Software copyright

Automatic yarn count detection system

Online message