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Automotive OEMs and suppliers are facing numerous quality-related challenges. Reliable and highly accurate quality inspection is crucial for early detection and elimination of quality issues. IBM offerings have been proven to deliver benefits across automotive manufacturing. The IBM value proposition for Automotive Manufacturing Quality Inspection is based on Industry 4.0 that focuses heavily on interconnectivity, automation, machine learning, and real-time data that provides fully customized solutions. These solutions apply AI, AR, IoT and technologies to gain operational efficiencies, including higher workforce productivity, better OEE, and lower cost per vehicle.
The solution, tools are designed in cooperation with major automotive OEMs and evaluated in real shop floor environments. IBM Maximo Visual Inspection is one such key solution, tool that is part of larger Maximo Application Suite portfolio used to train highly accurate AI models to classify images and detect objects in images and videos without deep learning expertise. These models are deployed on factory floors during production to detect early defects in various types of weld techniques.
Viswanath (Vish) Narayan is the Chief Technical Officer (CTO) for Watson AIExpertLab Services. Vish has beenresponsible for AI Cognitive Solutions practice development, for the industry domain to address the analytics/optimization solutions for high value assets to ensure business continuity and risk management. He has been consulting, architecting, and developing complex solutions for the industrial sector for the last 30 years with key customers in the industry.
Saurabh Gupta is the Senior Solution Architect with Watson AIExpert Lab Services team in US. Saurabh has vast experience inarchitecting and delivering IoT based solutions across different industry domains. He is Subject matter expert of end-to-end IoT solutions that involves analyzing asset data, asset health and leverage the insights to enrich Maximo Work Orders for field planners and technicians to better attend the field assets.
Srinivas (Srini) Chitiveli is a Product manager with Cognitive Systems and leads products and solutions in the space ofcomputer vision. For the past 22 years at IBM, Srini has honed several roles and responsibilities, he is a Master inventor with 12 patents, an author and a blogger. He is a techie at heart, passionate about applying deep learning and machine learning technologies to glean insights from structured and unstructured data.