The integration of AI into quality control at car manufacturing lines employs machine learning, computer vision, and predictive analytics to establish faster, more accurate, and data-driven inspection systems. By analyzing vast volumes of sensor and visual data in real time, these AI-powered systems minimize human error, reduce costs, and significantly optimize overall production line efficiency. This shift ensures greater product consistency while bringing to the fore the challenges in data management, system integration, and changes required within the workforce for future intelligent manufacturing.
Mr. Avishakar Machindra Shinde (Sat,) studied this question.