Detailed description of project
The ICOS MELANIE project is focused on enhancing workplace safety by integrating AI-powered PPE compliance monitoring with the ICOS architecture. It leverages real-time data from proximity sensors, GPS trackers, and smartwatches to detect safety risks and ensure adherence to occupational safety protocols. By utilizing ICOS’s advanced meta-operating system, MELANIE enhances interoperability between cloud and edge environments, improving data flow and decision-making efficiency. This project stands out from traditional PPE monitoring systems by incorporating AI-driven anomaly detection, which proactively identifies potential hazards before they escalate. The system’s scalability allows for deployment across various industrial sectors, including construction and waste management, making it a transformative solution for workplace safety. The project’s market potential is reinforced by its ability to integrate with smart city infrastructures, expanding its application beyond industrial sites to urban compliance and environmental monitoring.
Type and scope of work provided
- Integration of AI-driven PPE compliance monitoring with the ICOS meta-operating system.
- Deployment of proximity sensors, GPS trackers, and smartwatches to monitor worker safety in real-time.
- Development of AI algorithms to detect behavioral anomalies and predict potential workplace hazards.
- Implementation of edge-to-cloud data processing for efficient compliance monitoring.
- Creation of a unified platform for managing worker safety in industries such as construction and waste management.
MELANIE enhances occupational safety by providing real-time monitoring and compliance tracking for PPE usage. By utilizing AI and IoT technologies, it improves worker safety through predictive analytics and proactive intervention mechanisms. The project integrates seamlessly with ICOS’s security and data management features, ensuring a scalable and interoperable solution for workplace safety in high-risk environments
