Table of Contents
Predict OH&S Incidents using AI and ML
Shift from reactive to proactive safety and incident management by creating a technology-based safety culture with Artificial Intelligence and Machine Learning.
Minimise risks, prevent incidents, improve safety scores and overall Occupational Health and Safety (OH&S) ratings by integrating real-time monitoring and alerts into operation. With predictive analytics and optimisation, identify hazards and establish dynamic risk profiles to improve working conditions and immediately intervene and mitigate potential risks.
By creating an integrated and holistic safety program using artificial intelligence and machine learning, we have a real-time and dynamic safety net to protect employees and assets.
Rad Anandakumar is a leading expert in data analytics, machine learning, and AI, with a career spanning more than 2 decades. As an AI + Data Technology Strategist, he has led digital transformations and AI-driven business solutions, working with cutting-edge technologies like Generative AI, IoT, and predictive analytics.
AI & ML-Based Safety & Risk Minimisation
Monitor
Monitor Real-time IoT and Machine Vision-based alerts (including personal protective equipment, hazards, and mobile equipment risk) to ensure safety compliance. Use Digital Twins for real-time visualisation and scenario modeling.
Predict
Predict OH&S incidents by creating forward-looking machine learning-based ‘Dynamic Employee Risk Profiles’ to calculate employee’s chances of being involved in an incident on any upcoming day.
Intervene and Prevent
Prevent incidents by retraining, proactively removing employees from potentially dangerous situations, and sending live compliance alerts to employees to immediately eliminate dangerous working conditions.
Machine Vision, Monitoring, & Alerts
Predict Incidents
Predict OH&S Incidents by combining incident history with environmental variables and staff activities.
Machine-Learning-Based Dynamic Employee Risk Profiles.
Hazard Identification.
Chemical Detection, Air Quality, C02
Real-time data on Recent Hours Worked, Overtime/Sick Leave, Role Risk Rating, Years of Experience
Machine Vision Based Monitoring
Understand complex video events in real-time
- Traffic flow and people movements
- Weather events
- Accidents, incidents, and threats
- Inspections and defect reduction
- Tracking
- Environmental assessments
- Drone footage assessment
Monitor proper use of safety equipment
- PPE (hard hats, high visibility vests, eye protection)
- Hazardous Material Security (locks, unauthorised access, appropriate safety equipment)
- Dust, Liquid Spills, Trip Hazards
- Proximity Detection, Location Awareness
- Poor Mobile Equipment Practices
Other Predictive Analytics & Optimisation Use Cases in Safety
Predict Events Using Machine Learning & Artificial Intelligence
Asset Monitoring and Safety Optimisation
- Predict catastrophic equipment failure that could lead to injury or fatality.
- Asset/Process Failure (Condition Based Monitoring) and Critical Control Monitoring.
- Determine safe asset use via statistical analysis and optimise asset safety.
- Defective equipment identification.
Get in touch with AI Consulting Group via email, on the phone, or in person.
Send us an email with the details of your enquiry including any attachments and we’ll contact you within 24 hours.
Call us if you have an immediate requirement and you’d like to chat to someone about your project needs or strategy.
We would be delighted to meet for a coffee, beer or a meal and discuss your requirements with you and your team.
Rad Anandakumar is a leading expert in data analytics, machine learning, and AI, with a career spanning more than 2 decades. As an AI + Data Technology Strategist, he has led digital transformations and AI-driven business solutions, working with cutting-edge technologies like Generative AI, IoT, and predictive analytics.
