Close

Predict and Prevent OH&S Related Incidents

Request Consultant Call to Discuss

Occupational Health & Safety

Summary

Organisations are predicting when safety related incidents are likely to occur. This significantly improves the safety of employees and customers, especially in roles that involve physical labour, trades, travel, vehicle operators and all non-desk work.

 

Advanced predictive analytics can determine the likelihood of workplace incidents after significant overtime or surrounding sick and annual leave.

 

Similarly, the likelihood of workplace incidents occurring during certain activities, weather events, environmental conditions, time of year and many other potentially predictable scenarios can be assessed by industry so that mitigation strategies can be put in place to reduce the likelihood of incidents.

 

Finally, organisations are even using machine vision and sensors to identify incidents that occur in real time such as people falling, presence of smoke and spills with the aim of reducing response times.

Data Collected

Incident Data

  • Time and date, incident type, incident location.
  • Contributing factors to incidents.

Environmental Data

  • Video feeds which capture real-time events such as people falling, the presence of smoke, spills and other precursors to incidents or the actual incidents themselves.
  • Data from sensors, telemetry, IoT and IoT Edge devices.
  • Weather events and forecasts, seasonality, temperature, etc.

HR & Timesheet Data

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

Key Technologies and Processes

Collect and Centralise the Data

  • Accelerators to ingest unstructured video.
  • Accelerators and APIs to ingest data from HR systems, timesheets and existing databases.
  • Accelerators to ingest IoT data from sensors.
  • Ingest and store environmental factors.

Transform the Data into Useful Insights and Predictors

  • Train Artificial Intelligence to identify certain events and key features from video feeds in real-time.
  • Live stream data to enable alerting for incidents in real-time.
  • Machine learning and predictive analytics is used to combine features from video, IoT data and HR data to identify opportunities to mitigate safety risks.
  • Predict precursors to safety incidents such as excessive overtime, recent sick leave or annual leave.
  • Environmental variables such as weather, temperature of seasonality which increase the risk of incidents occuring.

Outcomes

  • Reduced OH&S incidents through predictive analytics.
  • Safe work environment for employees and customers.
  • Identify risky situations by employee to prevent incidents.
  • Fix problems or process before they cause in incident.

Related Case Studies

  • Machine Learning and Predictive Analytics for the Modern CFO

    Reduce forecasting and budgeting time/effort by up to 80% whilst improving accuracy and consistency. Summary CFOs are using Machine Learning and Predictive Analytics to slash forecasting and budgeting time/effort by up to 80%, whilst improving accuracy and consistency and even facilitating out-of-cycle re-forecasting. This is being achieved by using historical data for autonomous predictive modelling, […]

  • Predict and Prevent OH&S Related Incidents

    Occupational Health & Safety Summary Organisations are predicting when safety related incidents are likely to occur. This significantly improves the safety of employees and customers, especially in roles that involve physical labour, trades, travel, vehicle operators and all non-desk work. Advanced predictive analytics can determine the likelihood of workplace incidents after significant overtime or surrounding […]

Latest

  • segmentation customer value churn and purchase behaviour background
    Customer Experience and Engagement

    With Google Review Data Integration, understand what your customers are saying about you and your competitors – the good, the bad, and the ugly. Some examples are below (see Interactive Power BI Examples). AI Consulting Group will enable your marketing and customer engagement teams to analyse your customer experience across all your sites and all your competitor’s sites in a single dashboard.

  • CFO-COVID
    How CFOs and Executives are Responding to the Coronavirus (COVID) Crisis

    PWC conducted two surveys (Globally and the US) about the sentiment and priorities about the COVID-19 outbreak from finance leaders. The top shared finding between both reports indicated that 64% of CFOs will be implementing cost containment measures. The reports can be found here (US & Mexico) and here (Global).

    • Contact Us





      x