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常州路航轨道交通科技有限公司 Tech Stack

Rail transit automation and computer vision systems

Environmental Services 常州市, 江苏省 ~3 employees

Luhang develops embedded and computer vision systems for railway transit, built on C++, Qt, and deep learning frameworks (TensorFlow, PyTorch, Caffe). The stack points toward real-time image processing on Windows-based rail infrastructure. Engineering dominates the org (5 of 7 headcount), with senior technical leadership, but quality issues signal scaling friction — a common constraint when moving from prototype to production-grade transit systems.

Tech Stack 10 technologies

Core StackC++ C# Python TensorFlow PyTorch 8D Qt Windows OpenCV Caffe

What 常州路航轨道交通科技有限公司 Is Building

◆Challenges

Quality issues resolution

▲Active Projects

Develop and optimize group company regulations and management methods
Formulate and implement brand strategy

Hiring Activity

Minimal7 roles · 0 in 30d

Department

Engineering

5

Ops

1

Quality

1

Seniority

Manager

3

Mid

3

Junior

1

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About 常州路航轨道交通科技有限公司

Luhang is a small rail transit technology company based in Changzhou, Jiangsu Province, China. The company specializes in automation and computer vision solutions for railway environments, using classical C++ alongside modern deep learning. Current activity centers on internal process management and brand strategy. The team is engineering-centric with a quality-focused structure, reflecting the domain's safety and reliability demands.

Headquarters常州市, 江苏省

Company Size~3 employees

Hiring MarketsChina

Frequently Asked Questions

What tech stack does Luhang use?

C++, Qt, Python, C#, Windows, OpenCV, TensorFlow, PyTorch, and Caffe. The mix indicates embedded Windows systems with local computer vision processing rather than cloud-dependent inference.