Intervene and Prevent Potential Incidents

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Intervene and Prevent Potential Incidents

Summary

Intervene and Prevent Incidents, Saving Lives.

Leverage Artificial Intelligence, Machine Learning and Data to create a technology-based safety culture. Through integration of Machine Vision, Roster Optimisation and Edge-IoT initiatives, create a holistic approach to monitor, intervene and prevent potential incidents in the workplace.

Establish real-time warnings and alerts to the employee and manager when certain safety risks are detected allowing immediate intervention such as removing employee from the environment temporarily and addressing the risks on the spot.

Preventive measures can be integrated through staff retraining, tests, and regular implementation of refreshers and retraining questionnaires.

Ultimately reduce and minimise risk related to human error through smart rostering.

Data Requirements

Environmental Data

  • Data from sensors, telemetry, IoT and IoT Edge devices
  • Weather events and forecasts, seasonality, temperature
  • Video feeds which capture real-time events of actual incidents and precursors to incidents

HR & Timesheet Data

  • Annual leave, sick leave, overtime
  • Task types, times and dates

Industry and Company Standards

  • PPE requirements data
  • Industry and regulatory standards

Records and Incident Reports

  • Time and date, incident type, incident location
  • Contributing factors to incidents
  • Downtime history data relating to non-compliance to safety regulations
  • Log data from security checks and PPE checks

Key Strategies and Technologies

Train Artificial Intelligence to identify certain events and key features from information sources – video, audio, sensors.

Live stream data to enable alerting of safety infractions in real-time to intervene and prevent potential incidents

Use machine learning and predictive analytics to combine features from video, IoT data, and HR data to identify opportunities to mitigate safety risks.

Identify environmental variables that increase the risk of incidents.

Establish automated alerts & warnings for intervention sent to employees and managers.

Results

Reduced OH&S incidents through predictive analytics.

Safe work environment for employees and customers.

Technology based real-time and automated alerts &intervention process.

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