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北京中鼎高科自动化技术有限公司 Tech Stack

Precision die-cut equipment with embedded vision and deep learning for electronics manufacturing

通州, 北京 ~4 employees
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Zhongding Gaoke develops precision rotary die-cutting machines for consumer electronics, built on an embedded-systems stack (Sysmac Studio, CODESYS, Siemens, Mitsubishi Electric) paired with computer-vision and deep-learning modules (OpenCV, TensorFlow, PyTorch, Caffe). The tech mix reveals a hardware-first company layering AI-driven defect detection on top of industrial motion control—a pattern typical of equipment makers moving from mechanical inspection to autonomous quality gates. Team composition skews heavily engineering (5 senior roles) with minimal sales structure, consistent with a B2B equipment manufacturer at early scale.

Tech Stack 13 technologies

Core StackSiemens Python Linux TensorFlow PyTorch Sysmac Studio CODESYS Mitsubishi Electric C/C++ MFC OpenCV Caffe CAD

What 北京中鼎高科自动化技术有限公司 Is Building

◆Challenges

  • Reducing product cost
  • Improving product quality

▲Active Projects

  • 深度学习缺陷检测软件平台
  • 视觉硬件系统集成
  • New product development
  • Self-made equipment development

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Engineering
5
Sales
1

Seniority

Senior
5
Manager
1
Company intelligence

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About 北京中鼎高科自动化技术有限公司

Zhongding Gaoke manufactures high-precision rotary die-cutting equipment primarily for smartphone and tablet makers. The company operates from Tongzhou, Beijing, and focuses on two product axes: the core mechanical platform and an overlay of AI-driven defect detection. Active development spans hardware-software integration, next-generation equipment design, and optimization of manufacturing cost and product quality. Current team is ~4 headcount with engineering-dominant staffing.

Headquarters通州, 北京
Company Size~4 employees
Hiring MarketsChina

Frequently Asked Questions

What industrial control platforms does Zhongding Gaoke use?

Sysmac Studio, CODESYS, Siemens, and Mitsubishi Electric. The stack indicates motion-control and PLC-based architecture typical of precision manufacturing equipment.

Does Zhongding Gaoke use machine learning?

Yes. Deep-learning defect detection is an active project, built on TensorFlow, PyTorch, Caffe, and OpenCV for vision-based quality inspection.

What is Zhongding Gaoke working on?

Core initiatives include a deep-learning defect-detection software platform, vision hardware system integration, and new equipment development, while addressing cost reduction and quality improvement challenges.