An equipment-centric vision system tracks cranes with fixed cameras and finite state machines, inferring hot-forging workpiece locations with 317.8 mm mean error and 100% event detection within a 33-second tolerance.
CIRP J Manufac Sci Technol 22:116–120
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Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines
An equipment-centric vision system tracks cranes with fixed cameras and finite state machines, inferring hot-forging workpiece locations with 317.8 mm mean error and 100% event detection within a 33-second tolerance.