A repo designed to digitalize quality control in battery manufacturing with real-time monitoring and predictive analytics. Quality_APP leverages data from IPQC, FQC, and OQC stages to assess production risks and improve decision-making. Integrated with a Manufacturing Execution System (MES), it enhances inspection processes, predicts reliability

OCR system integrated with PLC Siemens for object tracking and automated process control

Predictive maintenance and quality control system for manufacturing. Uses sensor data and computer vision to predict equipment failures, optimize production lines, and detect product defects in real-time.