Predictive Tool for Workplace Safety

Combining data analytics with predictive (what might happen) and prescriptive (what to do if something happens) algorithms to support decision-making processes.

Customer:
Italferr (1,600 employees) for ADAM

Project:
Digital tool for predictive and dynamic assessment of accident risk in the workplace

Period:
2021- ongoing

Scope:
Using artificial intelligence and machine learning systems to dynamically predict the co-presence of “patterns” in the environment associated with potential consequences (injuries or fatalities).

Approach (on pilot site for prototype construction):

Preliminary analysis of historical data, statistical evaluation, dashboard on correlations with predictive value;
Observations and analysis of activity tasks and the work environment;
Selection of wearables and IoT systems for real-time data;
Activation of a dynamic predictive system to make decisions, prevent human errors and promote safe conditions.