Truck tracking and traffic monitoring
By detecting and tracking, the position and movement speed of each truck over period of time is calculated to determine whether the vehicle is waiting in line die to the on-site traffic jam.
Truck loading status
The cargo carrier and the cargo in it are segmented and identified to determine the type of cargo and debris (plastics, metals, etc.). Estimate the volume of cargo according to the compartment cover and the dividing line of the cargo and determine whether it is overloaded or underloaded.
Smoke and fire early detection
The robots scan 360° 24/7 and are equipped with advanced LWIR and Electro-optical sensors that detect wildfires within minutes of ignition
Deep Learning AI technology is used to identify the contamination or debris (plastics, metals, etc.) in the minerals.
Geofencing and wearables
There are many hazardous areas at the mining site. GeoFencing can be relied on by employees as well as contractors to avoid prohibited areas.
Aerial Vigilance – Using drone for routine operations, including efficient inspection, timely guideline for mine planning and safety, and on-site delivery.
Through various technologies , the engineering service is turned into a perceptible IoT control node, realizing regular self-checking and automatic alarming of engineering clothing, effectively monitoring the status of each set of engineering clothing, and timely discovering and dealing with personnel wearing problems and engineering services. Failure problems reduce the hidden dangers of construction site safety.
Cameras in the driver’s cabin record the driver’s facial expressions, eye movements and head-turns, if signs of fatigue or drowsiness and abnormal behaviors are identified, an audible signal is emitted.