Acemec Mine applies specialized Level 8 PDS Video AI to extraction and haulage fleets, bringing computer vision and sensor fusion to the hazards that matter most on site.
Extraction hazards
Critical detections for the working face
Computer vision flags the conditions that threaten equipment, material flow, and people at the extraction site.
Bucket Tooth Loss Detection
Identifies missing or damaged excavator bucket teeth so maintenance can respond before wear disrupts digging and loading.
Large Block Detection
Detects oversized rock blocks in the material stream so crushers and haul routes are protected from jams and overload.
Retaining Wall Detection
Monitors benches and retaining walls for hazardous conditions, giving supervisors early warning of instability.
Machine vision matrix
Sensor fusion across the fleet
AI dispatching, blind-spot awareness, driver monitoring, surround view, and over-the-horizon sensing work together across mobile equipment.
AI Dispatching
Assigns and sequences vehicle movements using live site conditions, supporting faster cycles across the haulage fleet.
Blind-Spot People & Vehicle Detection
Alerts operators to people and vehicles in blind spots around heavy equipment, where direct line of sight is limited.
Driver Monitoring System (DMS)
Observes driver attention and fatigue indicators in the cab, prompting alerts when focus drops during operation.
AVM 360° Surround View
Combines cameras around the machine into a single surround view, giving operators full visibility of the immediate area.
V2X Over-the-Horizon Detection
Shares vehicle-to-everything signals to flag hazards beyond the line of sight, before they enter the working zone.
Forward Risk Detection
Scans the path ahead of the machine to identify obstacles and risk zones while there is still time to react.