This study aims to implement a system-on-chip (SoC) detection system for tool wear monitoring and alarms for high-precision machining processes. The proposed deep learning approach is trained by the collected sensors from real performed in a three-axial computer numerical control (CNC) machine center combined with different conditions of spindle speed and tightening torque. The corres... https://jalyttlers.shop/product-category/artificial-plant/