Object Detection in Mining

We help mining exploration by analysing huge amounts of geological and geophysical data to improve mineral recovery and optimise sorting operations.

We integrate algorithms with the expertise of geologists and engineers, creating a powerful synergy for more accurate data interpretation and informed decision-making.
We use AI algorithms to predict mineral deposit locations, reduce exploration costs, and enhance the speed and accuracy of identifying potential sites. This leads to more efficient and sustainable mining practices.

Conveyor Belt Monitoring

Ensure the continuous flow of material. Conveyor belts are a key component in metal processing and are prone to mechanical issues and failures.

If a belt fails, material can spill and accumulate below the belt, blocking the drive mechanism. Early detection of these incidents is key for reducing downtime. We integrate cameras with computer vision to monitor belts for worn-out bearings, spills and slowdowns in real-time.

Image and video analysis example

Hazardous Zone Monitoring

Mine sites have many potential dangers — from unstable ground to large equipment and heavy machinery.

We use computer vision to map out dangerous and safe zones, enabling continuous monitoring 24/7 in real-time, eliminating the need for manual oversight.

Alerts are triggered when accidents may occur, helping managers to immediately react to protocol breaches — preventing potential issues and protecting the health and safety of workers.

Edge-based computer vision example

Prevent Accidents Before They Happen

Every second matters in high-risk environments. Traditional safety measures often react after an incident has already occurred.

By continuously analyzing live video streams, our AI Vision tailor-made solutions detect hazardous situations in real time—identifying unsafe behaviors, missing PPE, distracted operators, unauthorized access, vehicles entering restricted zones, and other critical safety risks before they escalate into accidents.

Edge-based computer vision example

Cycle Time Measurement

We analyze video footage to identify and interpret objects in the physical world, providing continuous, real-time monitoring of your operations.

Our systems can detect, classify, and track vehicles in real-time to identify vehicle trajectories and pinpoint the exact moment a vehicle starts, stops, or passes specific points, allowing managers to determine exactly when a cycle begins or ends.

Face recognition example