Computer vision and sensor data processing for infrastructure monitoring
PGSensing is a two-person company in Nanjing building perception systems around computer vision (OpenCV, PyTorch) and embedded signal processing (C++, Linux). The stack—heavy on low-level systems tools (GCC, gdb, CMake, sockets, TCP/IP)—signals hardware-adjacent work; active projects on fiber optic vibration analysis and radar image fusion confirm a focus on sensor data pipelines for railway and infrastructure use cases. Hiring remains minimal and centered on engineering roles, suggesting early-stage product development rather than scaling.
PGSensing develops intelligent monitoring equipment for infrastructure construction and maintenance, with a technical focus on processing and analyzing sensor data from fiber optic vibration systems and radar imagery. The company is based in Nanjing, China. Active projects indicate work on railway tunnel construction site monitoring systems and data fusion pipelines, paired with early-stage organizational scaling efforts (campus recruitment, culture rollout, talent reserves). Current hiring activity reflects internal consolidation around engineering talent.
PGSensing uses C++, Python, Java, PyTorch, and OpenCV for core development, with Linux as the OS foundation, Flask/Spring Boot for services, MySQL/PostgreSQL for persistence, and Redis for caching. Low-level tools (GCC, gdb, CMake, sockets, TCP/IP) indicate embedded and real-time signal processing work.
PGSensing is developing intelligent monitoring equipment for railway tunnel construction sites, with active technical projects on fiber optic vibration data processing and radar image fusion analysis systems.