The present invention introduces a saw line flow management method that incorporates deep learning AI, machine vision, 3D data, and robotics to monitor and maintain the smooth operation of a lumber production line in a sawmill or planer mill. By utilizing surveillance cameras and AI models, the system assesses board integrity, quality grading, and line flow anomalies. For a board evaluation, 3D data and AI deep learning models analyze live video feeds to detect major defects or positioning issues. Anomalies in the production line flow are identified using AI models applied to video feeds of the conveyor area. The system can trigger alarms and initiate human or robotic interventions to remove problematic boards or rectify flow disruptions.

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