
LiDeXinZhi Vision Technology
AI-powered surface inspection and thickness measurement systems.
Date | Investors | Amount | Round |
---|---|---|---|
* | N/A | Seed | |
Total Funding | 000k |
LiDeXinZhi Vision Technology (Shanghai) Co., Ltd., also known as RIDVISION, specializes in the research, development, and application of embedded algorithms and optical imaging technology. The company develops advanced surface inspection and thickness measurement systems for industrial applications.
The core offerings include a visual surface inspection system built on an FPGA (Field-Programmable Gate Array) architecture, which combines traditional algorithms with inline deep learning to enhance defect detection rates and classification accuracy. Key products include an artificial intelligence computing platform that supports both supervised and unsupervised learning for high-speed AI detection, ultra-compact smart cameras with embedded AI, and high-precision X-ray thickness measurement gauges. These systems are designed to identify surface defects and measure material thickness with high precision, catering to industries that produce continuous materials like films and coils.
RIDVISION was co-founded by CEO CK Lee, CIO/Chief Scientist Professor Yajun Ha, COO Ben Xu, and CTO Harry Guo. The company serves a variety of sectors, including new energy films, intelligent display films, non-wovens, paper, composite materials, flexible packaging, copper and aluminum foil, and glass. By integrating advanced algorithms onto FPGA chips, RIDVISION aims to significantly improve system performance and address the limitations of traditional inspection methods.
Keywords: surface inspection systems, thickness measurement, optical imaging technology, embedded algorithms, machine vision, FPGA architecture, deep learning, defect detection, artificial intelligence computing, smart cameras, X-ray gauges, new energy films, display films, composite materials, copper foil inspection, aluminum foil inspection, industrial automation, quality control, non-woven inspection, flexible packaging.