Companies are predicting accidents through artificial intelligence

In 2023, Brazil recorded alarming numbers of work-related accidents, with almost 500 thousand reported occurrences, resulting in almost 3,000 deaths and hundreds of thousands of injuries that caused workers to be removed. These accidents are not only human tragedies, but also represent a significant financial impact for organizations and the economy as a whole.

Since 2012, the costs associated with diseases and accidents at work in the country have reached about 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, allowing 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, Work Safety Engineer at startup Dshbird, focused on corporate security and predictive analytics, comments on the importance of tools: “A ability to predict and, especially, prescribe actions based on real data and continuous analysis is a game changer in industrial security management. Features that offer insights based on artificial intelligence allow companies not only to respond to incidents, but help prevent them, promoting a safer and more efficient WORK environment”. 

These solutions are essential for sectors such as 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 lack of proper equipment maintenance.

The constant monitoring and recommendation of real-time corrective actions provided by these technologies have the potential to significantly reduce accident statistics in these sectors and, as a result, save lives.

In a country where occupational safety still faces monumental challenges, the application of generative AI technologies marks a new era in accident prevention. “With adoption, not only a drop in indices is expected, but also cultural change in industries, where proactive method becomes the norm, not the”, except” finalizes Ribas.