Industrial vision and embedded systems for manufacturing quality control
Weiya builds computer-vision and embedded-control solutions for manufacturing inspection, running a full-stack from hardware (FPGA, Modbus protocols) through ML algorithms to desktop and cloud deployment. The tech mix—Java, Python, C++, OpenCV, Intel/Xilinx FPGA, plus Azure/AWS—suggests a hardware-centric, algorithm-heavy engineering operation. Active projects around visual defect detection and on-site process validation align with their stated pain points around talent acquisition and sales-channel growth, pointing to scaling challenges typical of hardware-software hybrid vendors in China.
Weiya is a Xiamen-based technology company specializing in vision-based quality control and embedded systems for manufacturing environments. The product surface spans real-time visual inspection algorithms, FPGA-accelerated processing, and integration with legacy industrial protocols (Modbus, TCP/IP). Their current portfolio includes on-site defect classification, process compliance verification, and embedded-device deployment. The org is engineering-heavy with mid- to senior-level engineers driving algorithm development and field implementation, paired with minimal sales and support capacity—a hiring pattern consistent with product-market-fit in a technical, vertically-integrated segment.
Primary languages are Java, Python, C++, and C#. The platform runs on MySQL/Oracle/SQL Server backends, deploys via Docker/Kubernetes, and accelerates vision algorithms via Intel FPGA and Xilinx. Client-side uses React, Vue, Angular; industrial connectivity via Modbus and TCP/IP.
Xiamen (厦门), Fujian Province, China. The company employs approximately 11 people across engineering, sales, support, HR, manufacturing, and operations.
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