In 2023, Brazil recorded alarming numbers of work-related accidents, with nearly 500,000 reported cases, resulting in almost 3,000 deaths and hundreds of thousands of injuries that led to workers' leave. These accidents are not only human tragedies but also represent a significant financial impact on organizations and the economy as a whole.
Since 2012, the costs associated with work-related illnesses and accidents in the country have reached approximately R$ 100 billion, due to expenses with medical treatment, loss of productivity, and compensation. In this scenario, the adoption of advanced technologies for accident prevention has become feasible and decisive.
Innovative companies have developed solutions based on generative artificial intelligence (AI) to identify and monitor risk controls in industrial activities, enabling prescriptive actions before an accident occurs. This approach uses data from past incidents to create recommendation models that help security teams make proactive decisions.
Felippe Ribas, Occupational Safety Engineer at startup Dshbird, focused on corporate security and predictive analytics, comments on the importance of tools: "The ability to forecast and, most importantly, prescribe actions based on real data and continuous analysis is a game-changer in industrial security management. Resources that offer insights based on artificial intelligence enable companies not only to respond to incidents but also to help prevent them, promoting a safer and more efficient work environment."
These solutions are essential for sectors such as Civil Construction and Road Transport, where the main types of accidents include falls from height, electric shocks and traffic accidents, often exacerbated by worker fatigue and the lack of adequate equipment maintenance.
Constant monitoring and recommendation of corrective actions in real time – provided by these technologies – have the potential to significantly reduce accident statistics in these sectors and, consequently, save lives.
In a country where workplace safety still faces monumental challenges, the application of generative AI technologies marks a new era in accident prevention. "With adoption, it is expected not only a decrease in the rates but also a cultural change in industries, where the proactive method becomes the norm, and not the exception."Ribas concludes.
