Fatigue is one of the main risk factors in the operation of heavy machinery. It affects reaction time, concentration, and the operator’s judgement, significantly increasing the likelihood of serious incidents. Torsa’s fatigue monitoring system for mining has been developed to provide continuous supervision of the operator’s condition, detecting signs of fatigue, distraction, or unsafe driving behaviour in real time.
Its implementation enables early intervention before risks materialise, contributing to safer working environments and more stable operations.
What are the daily risks faced by heavy machinery operators?
During their shift, the operator may show signs of fatigue or distraction, or engage in unsafe driving practices such as using a mobile phone, smoking, or maintaining poor posture. If not detected in time, these behaviours can lead to:
- Serious accidents with personal and material consequences
- Unplanned downtime due to blockages or incidents
- Accelerated wear and tear of equipment
- Penalties for non-compliance with internal protocols and international regulations
Torsa’s fatigue monitoring system for mining makes it possible to anticipate these risks, strengthen occupational safety, and ensure the operational continuity of the fleet.
In addition, unlike other systems, Torsa can train its artificial intelligence model to adapt to the specific protocols of each mine, taking into account local regulations, internal operating criteria, or country-specific safety standards.
With Torsa’s fatigue monitoring system for mining, you’ll achieve a safer, more efficient, and more profitable operation.
Having a fatigue monitoring system in place not only improves workplace safety, but also has a direct impact on operational efficiency. By reducing incidents and preventing human error, it helps minimise unplanned interruptions and lowers costs associated with material damage, prolonged downtime, and internal investigations.
Safety and active supervision
- Real-time detection of fatigue and distraction using computer vision and smart cameras.
- Identification of unsafe practices: detects actions such as not wearing a seatbelt, using mobile devices, smoking, eating, or maintaining poor driving posture.
- Accurate facial recognition, even when wearing glasses, masks or protective equipment, and unaffected by lighting conditions or ethnic features.
Rapid response and incident prevention
- Start-up blocking if the system does not recognise the operator.
- Visual and audible alerts for the operator, with automatic notifications sent to the control centre.
- Full integration with Torsa’s collision avoidance system, centralising environmental and operator monitoring in a single interface, and enabling safe vehicle stoppage in critical events, in compliance with EMESRT Level 9.
Cost savings and operational efficiency
- Reduction of unplanned downtime: anticipating human-related risks improves equipment availability.
- Lower costs associated with incidents, repairs, unproductive time and staff turnover.
- Optimised preventive management, aligned with internal policies and the safety standards required by the industry.
Customisation and scalability
- Adaptation to local regulations and site-specific protocols: the AI model can be trained to meet the specific requirements of each operation.
- Unlike other systems, all processing is carried out locally on the vehicle, without the need for network connectivity. This ensures an immediate and stable response even in areas without coverage and eliminates dependence on external servers.
- Compatible with all types of machinery, regardless of manufacturer, model, or age.
Having a fatigue monitoring system in place not only improves workplace safety but also has a direct impact on operational efficiency. By reducing incidents and preventing human error, it minimises unplanned interruptions and lowers costs associated with material damage, extended downtime, and internal investigations.
All these benefits can be summed up as:
- Fewer accidents and regulatory penalties.
- Lower staff turnover due to safer working environments.
- Fatigue is one of the main risk factors in the operation of heavy machinery. It affects reaction time, concentration, and the operator’s judgement, significantly increasing the likelihood of serious incidents.
- Reduced costs related to maintenance, training, insurance and unproductive downtime.
- Improved overall safety and compliance metrics.
Implementing this technology enables a shift from a reactive approach to a proactive and preventive one, aligned with international best practices in the mining and industrial sectors.
Connected to the Torsa ecosystem
The fatigue monitoring system for mining integrates natively with .torsacloud, Torsa’s business intelligence platform. From there, users can view events, analyse trends, generate automatic reports, assess individual operator performance over time, and document corrective actions. This supports occupational health and safety teams and enables informed decision-making based on real data.
Protect your mining operators, enhance safety and boost profitability
Torsa’s fatigue monitoring system helps you optimise your mining operation with an advanced, effective solution tailored to your real needs. Improve safety from day one, reduce risks, and ensure your fleet remains fully operational.
Request a personalised demo and discover how it can be applied to your operation.
