Urban safety research institute in Shenzhen applying geospatial analysis (QGIS, ArcGIS, InSAR) and embedded systems (Arduino, ESP32, ROS) to fire risk modeling and smart fire safety platforms. The stack reveals a hardware-forward approach — embedded IoT sensors feeding into Python analytics pipelines — paired with command-center visualization, typical of Chinese municipal safety infrastructure projects. Hiring is heavily skewed toward interns and research roles, suggesting active R&D rather than scaling production operations.
深圳市城市公共安全技术研究院 operates as a technology research institute focused on urban public safety systems, particularly fire prevention and risk assessment. The organization builds smart fire safety platforms and conducts fire risk evaluation services for municipal and enterprise clients. Core capabilities center on geospatial monitoring (satellite SAR/InSAR data processing, GIS mapping), sensor networks (Arduino/ESP32 embedded systems), and data analytics (Python-based risk modeling). Projects span smart fire safety platform construction, fire risk consulting, command-center control systems, and integrated sky-ground monitoring technology. The 25-person team is structured around engineering (embedded systems, software), research (geospatial and fire science), and data analytics functions.
Core stack includes Python for analytics, QGIS and ArcGIS for geospatial analysis, Arduino and ESP32 for embedded sensors, ROS for robotics/automation, Qt for UI, and SAR/InSAR for satellite-based monitoring. Flask provides API infrastructure.
Smart fire safety platform construction, fire risk assessment and inspection services, command-center control systems, sky-ground integrated monitoring technology, and enterprise security inspection consulting.
Other companies in the same industry, closest in size