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Current accident theories show that the solution to avoid human error cannot be based on focusing\udonly on the correction of operators’ behavior, but needs certain innovation that will help to keep an error\udaway. Since, as evidenced by several incident surveys, cranes are the most dangerous equipment in\udindustrial and construction sites and human error is the most frequent cause of accidents, in this frame the\udcrane navigation system is an important and challenging component, with a great potential for safety\udimprovement. However, as the emerging and rapid development of new technologies aims improving the\udworking conditions and environment through solutions regarding existing well-known problems in\udoccupational safety, their implementation also could lead to emerging hazards and risks that must be taken\udinto account and managed. Based on these facts, SPRINCE (Smart PRocess INdustry CranEs) project\udaims implementing a real-time object detection solution, which deals with cranes’ tracking systems and\udincorporates visual feedback, developing and implementing an innovative tool for evaluation of\udorganizational and human (operator-specific) factors. These factors will be included in the risk indicators\udof the implemented real-time object detection solution using case studies approach

Emerging risks in smart process industry cranes survey: SAF€RA research project SPRINCE