Improving Quality Control and driving Sustainability with Computer Vision and AI - Seguridad Mania.com - España y América Latina

Today, manufacturers face urgent needs to increase efficiency, reduce wastage, minimize recalls – and on top of that, make the end-to-end process more sustainable than ever. As manufacturers respond, accelerate time to value by ramping up production velocity and move from a 'just in time' to a ‘just in case’ operational approach, the need to maintain stringent levels of consistent quality control remains top of mind. On top of this, employees – the front line in traditional quality control – are increasingly demanding more rewarding, value-add tasks than monotonous quality control checks. To address this make-or-break challenge, manufacturers are automating production quality control processes by combining Computer Vision and Artificial Intelligence. As the value chain is turned into a flexible and dynamic value network in this rapidly changing business environment, AI-enabled Computer Vision provides the assured quality essential to build customer satisfaction, contain costs and enable forward-looking traceability, trust and compliance initiatives.