Identification & Background

Type: Digital Platform / Intelligent Decision Support System

Area of application: Occupational Safety and Health / Retail

State of development: In use in the sector

TRL: 7,8

iSafety is a smart system developed to support the prevention of workplace accidents and early identification of risk situations in the retail sector. The solution combines digital technologies, statistical methods, data analysis and machine learning algorithms to identify patterns associated with potential accidents or the development of problems related to professional activity. The system integrates information from local and global correlated variables, allowing for a more comprehensive analysis of different risk contexts.

how does it work

iSafety aggregates information from the work context and combines it with external variables that show relevant correlation with local data. After processing and analysis of the information, statistical strategies and machine learning algorithms are applied to identify patterns and conditions potentially associated with accidents or other occupational hazards.

iSafety was developed as a digital solution oriented to the integrated use of data, statistical methods and Machine Learning techniques to support accident prevention and early identification of occupational risks.

  • The solution is based on an architecture oriented to the integration and analysis of data from different sources.Processing combines statistical methods, data analysis techniques and machine learning algorithms, allowing to explore relationships between local variables directly associated with the work context, and global variables with relevant influence over these conditions. This approach allows risk indicators and information to support the early identification of potentially critical situations.

  • Data-based prevention – Promotes a preventive approach through the systematic use of information associated with working conditions.
  • Predictive ability – The application of machine learning allows you to identify patterns and trends associated with potential risk situations.
  • Integrated contextual analysis – Combines local and global variables, providing a more comprehensive characterization of the factors associated with risk.
  • Decision support – Transforms operational data into relevant information to support Occupational Safety and Health managers.
  • Safety and health at work;
  • Accident prevention in the retail sector;
  • Identification of higher risk contexts and conditions;
  • Support for security officers;
  • Analysis of factors associated with workplace accidents;
  • Definition and evaluation of preventive measures.