AI, based on machine learning and human input is the driver for improved results.
This solution use case provided by Capgemini on the MindSphere platform, enables AI driven visual inspection for multiple environments including manufacturing and power generation.
With real-time data analysis of collected visual images, this AI algorithm uses machine learning and human input to drive faster, more accurate results in visual inspection cycles. With workflows and logic that can be easily created and deployed by business users (not just machine specialists), this solution adapts to the specific needs of each customers. Dashboards provide easy results analysis for line managers and plant managers.
When product lines carry across facilities, logic is easily shared so quality data can be consistent improving results across multiple locations when necessary. With improved diagnosis for problems, rework costs are saved and productivity increased.
This mobile visual quality inspection solution is geared for production assembly lines. Using real-time data and image processing, this application uses an AI algorithm using machine learning to inspect quality of assembled parts in production.
Capgemini offers a range of professional services to deploy this solution, depending on your needs, and accelerate your digital transformation. Services may include consulting, implementation, integration, customization and training.
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