A multi-task X3D-based robotic video perception and state estimation framework for vehicle-loading counting in intelligent industrial systems
A lightweight multi-task video perception framework built upon the X3D architecture and integrate it with a finite-state-machine-based counting strategy that can support higher-level scheduling, supervisory-control, and safety-monitoring modules without requiring them to reason directly over raw video streams.