@selbettioficial

Selbetti develops industrial monitoring systems that integrate edge computing and AI detection for mining, railway, and supply chain operations. The company's core technology platform processes real-time data from distributed sensor networks to identify safety risks and operational anomalies. Their solutions are currently deployed across industrial sites in North America and Europe, with implementations focused on accident prevention and regulatory compliance. The firm's industrial safety portfolio includes automated threat detection for mining operations, track integrity monitoring for railway systems, and inventory tracking for supply chain facilities. Their edge computing architecture enables on-site processing of sensor data to deliver rapid alerts and reduce network latency. The platform interfaces with existing industrial control systems while adding AI-enhanced monitoring capabilities. Selbetti's technology stack combines computer vision, sensor fusion, and machine learning to create comprehensive site awareness. The system analyzes operational patterns to detect potential hazards before incidents occur, while tracking key metrics for regulatory reporting. Implementation teams work directly with facility operators to customize monitoring parameters and integrate with local safety protocols.