In mining, the constant interaction between vehicles, objects and people is part of daily opera tions. In this environment, having realtime information about what is happening around the equipment is no longer an added extra, but a key tool to reduce operational risks, avoid material damage and keep production running without unnecessary interruptions. Managing these situations properly has a direct impact on safety, but also on cost savings, fleet availability and overall operational pro fitability. Torsa’s Collision Avoidance System (CAS) addresses this need.
Supporting daily Traffic Management Plan (TMP) execution
Torsa’s Collision Avoidance System is a particularly effective tool for identifying and managing, in real time, the risks defined within the TMP. The CAS is designed to notify risk situations identified i n the TMP and associated with proximity between equipment, objects and people, issuing alerts before t hey turn into an incident. It does not act as an intrusive system nor does it condition the opera tor’s way of working, but rather adds an additional layer of information that is especially valuable in conditions of limited visibility, heavy traffic or complex manoeuvres.
Alerts are generated in a progressive and contextual manner, allowing operators to react in advance. This reduces the likelihood of collisions, material damage and unplanned stoppages, with a direct impact on both safety and production continuity.
A step towards autonomous intervention in critical situations
Torsa’s CAS is designed to automatically intervene on the machine and apply braking when an extreme-risk situation is detected.
Its availability provides significant added value: the system does not only warn the operator, but can also act when human reaction time is no longer sufficient. This approach strengthens safety in high-risk scenarios and shows that the system’s design goes beyond simple visual or acoustic warnings.
AI cameras: reliable detection and recognition in real conditions
One of the key differentiators of Torsa’s CAS is the integration of artificial intelligence cameras capable of identifying people, vehicles and obstacles in real mining environments.
The value of this technology lies not in its sophistication alone, but in its reliability under conditions of dust, vibration and constantly changing operational environments. The result is more accurate detection without interfering with operations, significantly reducing the number of false alerts.
A system that grows with the mine’s needs
Torsa’s Collision Avoidance System is part of a broader, scalable safety ecosystem that can be adapted to the specific needs of each operation. The CAS can be integrated with complementary solutions such as the fatigue monitoring system, which detects signs of operator drowsiness or distraction, including risky behaviours such as improper mobile phone use or smoking while driving. This information is combined with the collision avoidance system, which not only alerts the operator but can actively intervene in the vehicle, braking or stopping the machine when the operator is not in a safe condition to continue operating.
In parallel, monitoring the operator’s cab conditions allows continuous measurement of variables such as vibrations, noise levels, dust, gases and other environmental factors to which the operator is exposed during the shift. This information is essential to protect personnel health and reduce the risk of medium- and long term injuries, while also providing valuable data on the condition of the machinery and the operating environment. High vibration levels, for example, are often associated with worn suspensions, poor road conditions or early mechanical issues, while increased exposure to dust or noise may indicate deviations in processes or working conditions that require operational adjustments.
The combination of these systems makes it possible to address safety from three key perspectives: the environment, the operator and the equipment.
Data that improve safety, optimise production and reduce costs
All the information generated by the CAS, the fatigue monitoring system and cab condition monitoring is recorded and centralised in .torsacloud, Torsa’s management platform. This data set allows the operation to be analysed with a much more complete and objective view.
Through reporting, it is possible to identify areas with a high concentration of proximity events , road sections generating higher vibration levels, or moments within the shift when fatigue related risk increases. This is complemented by indicators such as speeding events, driving be haviour patterns, fuel consumption, production levels and vehicle utilisation rates, providing a detailed picture o f how the operation is performing on a day-to-day basis. These insights support preventive and operational decision making, including road design adjustments, route optimisation, maintenance planning and reviews of shifts, procedures and driving practices.
From an economic perspective, the impact is clear: fewer incidents, reduced equipment wear, lower unplanned downtime and greater fleet availability with maximised utilisation. Safety translates directly into operational efficiency and cost savings.
Proximity control as the foundation of a more stable operation
Properly managing critical interactions on a mine site is a matter of safety, but also of business performance. Torsa’s Collision Avoidance System provides visibility, control and objective data that enable more predictable operations and a tangible reduction of real operational risks.
To learn more about this system and its integration with other mining safety solutions, visit www.torsaglobal.com.