February 10, 2021
Industrial worksites can be extremely dangerous, with significant potential for loss of property and employee’s lives. Correct-AI has developed a powerful Visual Guidance System (VGS) that promises to dramatically improve the safe operation of large, complex industrial vehicles on such sites.
Correct-AI’s PROX-EYE™ DUAL system uses two LiDAR & Camera sensor pods and an in-cab monitor microcomputer. Together, these provide equipment operators with real time hazard identification and audible signals warning of potential hazards around the equipment. Designed to overcome inherent blind spots in equipment such as hydraulic excavators, pipelayers, and large loaders the PROX-EYE™ DUAL system aids operators in detecting jobsite hazards and operating risks.
“We have pushed the limits one more time,” said Siamak Akhlaghi, CEO of Correct-AI. “We have used our advanced state-of-the-art artificial intelligence algorithm to create a more powerful dual visual system without any sacrifice in real-time performance.”
Correct-AI’s original PROX-EYE™ VGS was the first system to use camera and LiDAR technology combined with artificial intelligence to view and record operator experiences and encountered hazards. The PROX-EYE™ systems perform multiple functions by identifying objects around the equipment as well as indicating roll and pitch angles. As well the system identifies objects and classifies them as human, vehicle, or obstacle. An audible signal warns operators when objects are within a defined, customizable, area around the equipment. A monitor within the operator’s cab displays this information for easy viewing. The system’s AI capabilities aids operators in identifying genuine hazards and lessens false positives.
Correct-AI is an Edmonton-based Canadian company committed to making industrial worksites incident free, more productive, and more efficient. Correct-AI is dedicated to continuously developing AI systems that enhance cornerstone technology that may be used for all types of equipment and applications.
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