Zhejiang Shuangyuan Technology Co., Ltd Class A
SSSE:68862357.96
CNY
+0.90
(+1.58%)
ISIN
CNE100007838
Return %
Stock
S&P 500
1Y
22.08
14.39
3Y
16.61
81.42
5Y
- -
68.62
Capital Structure
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in mil. unless spec.Growth Rates
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in mil. unless spec.Quarterly Revenue
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in mil. unless spec.Quarterly Earnings Per Share
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in mil. unless spec.Company Description
- CEO
- Jian Zheng
- Full Time Employees
- 473
- Sector
- Electronic technology
- Industry
- Electronic equipment/Instruments
- Address
- Hangzhou China
- IPO Date
- Jun 8, 2023
- Website
- zjusy.com
- Similar Companies
- Business
- Zhejiang Shuangyuan Technology Co., Ltd. is a China-based industrial automation and quality inspection technology company specializing in the research, development, manufacture, and distribution of high-precision online measurement and machine vision defect inspection systems. Founded in 2006 and headquartered in Hangzhou, Zhejiang Province, China, the company provides intelligent sensing, defect identification, and closed-loop process control solutions designed for continuous web and sheet material manufacturing across industries such as new energy lithium-ion batteries, optical and solar films, nonwoven fabrics, papermaking, and metal foils. The company operates through three primary business divisions: Online Thickness and Surface Density Measurement Systems, Machine Vision Surface Defect Inspection Systems, and Process Automation and Quality Control Solutions. Its product and service portfolio includes online thickness and areal density measurement systems, comprising beta-ray measurement gauges, X-ray transmission and backscatter thickness sensors, laser triangulation and caliper gauges, infrared absorption sensors, and microwave moisture meters; machine vision surface defect inspection systems, featuring high-speed line-scan CCD and CMOS industrial cameras, multi-angle optical illumination systems, embedded image processing units, AI-driven visual defect classification software, and automated defect-marking and edge-trimming modules for detecting pinholes, coating voids, wrinkles, scratches, and foreign contaminants; closed-loop process control and monitoring platforms, incorporating automatic profile control systems, automatic air knife and thermal die-bolt controllers, statistical process control software, and industrial Internet of Things data acquisition interfaces; and comprehensive technical services, including customized algorithm development, optical system engineering, on-site calibration, installation, commissioning, software upgrades, and lifecycle maintenance support. Zhejiang Shuangyuan Technology Co., Ltd. serves a broad customer base comprising power battery cell manufacturers, energy storage producers, lithium battery separator suppliers, copper and aluminum foil fabricators, photovoltaic film producers, and industrial textile manufacturers. The company operates manufacturing facilities and engineering centers in Hangzhou, with an extensive sales and service network covering major manufacturing regions in China, as well as export channels supporting international clients across Europe, Southeast Asia, and North America. In recent developments, Zhejiang Shuangyuan Technology Co., Ltd. listed its Class A shares on the Science and Technology Innovation Board of the Shanghai Stock Exchange under ticker symbol 688623. The company has allocated capital proceeds toward expanding its smart manufacturing base for intelligent inspection equipment, constructing upgraded optical and artificial intelligence research laboratories, and scaling production capacity. Operationally, the company has rolled out new multi-spectral visual inspection and 3D surface measurement solutions tailored for next-generation solid-state battery components, composite current collectors, and ultra-thin optical functional films. Additionally, the company has reinforced strategic supply partnerships with leading global battery manufacturers to support their overseas production expansions, while integrating deep-learning neural network algorithms into its visual inspection platforms to improve micro-defect classification accuracy and production yield in high-speed manufacturing environments.