POC on Health and Safety analytics for the facilityHealth & Safety
Every year, numerous industrial accidents occur due to a lack of safety and health measures, leading to permanent disability, long term health issues, and in some cases, even death. Health and safety in a facility are of utmost importance to protect employees and visitors and should never be compromised, regardless of the nature or size of the company. Continuous evaluation is needed to assess the constantly changing environment and identify any hidden vulnerabilities that can lead to accidents. But the question is, can machine learning help in improving the work environment and reducing potential risks?
The client was one of the Facility in GCC that wanted to improve the working environment for his employees by improving safety and minimizing the possibility of accidents. The client wanted a solution to predict Hazard type and severity prediction through Machine learning and Unstructured data analytics.
Challenges
To develop the solution for improving workplace safety by identifying the following:
- Identify key areas and equipment with high risk.
- Predict the type/category of hazard using text analytics-based classification model.
- Predict hazard severity through machine learning and deep learning techniques.
The implemented solution allows real-time monitoring of workplace safety using the following dimensions:
- Historical Incident Reports and others
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Unsafe Condition Report
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Safety Inspections and investigations
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Employee Suggestions
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Near Miss cases
Our proof of concept on health and safety analytics provides the client with valuable insights and tools to enhance workplace safety.
Key benefits
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Proactive Risk Management:
Based on predicted hazard types and severity, the client can take proactive measures to make a safer work environment.
- Efficient Resource Allocation:
The Client can reallocate resources focusing on areas high-risk areas.
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Enhanced Decision-Making:
Actionable intelligence that empowers HSE leaders, engineers, and employees to make informed decisions to mitigate risks better.