Quality control in manufacturing varies from one production process to the other. That is why Quality Inspector is not a one-size-fits-all product but a framework that enables us to take pre-trained models and quickly tailor them to your needs. We have collected these models for many different scenarios and update them regularly. Leveraging deep learning to detect defects, foreign objects, anomalies or incorrect setup, Quality Inspector achieves high accuracy even in challenging conditions and answers today’s challenges:

Every quality control situation is different

• You often need to handle difficult conditions
• Black-box solutions are inflexible
• Most solutions are incompatible with advanced/special hardware (thermal cameras, etc.)
• Growing quality requirements
• Pressure on costs
• Increasing customer expectations
• Many providers are unable to scale-up the solution
• Qualified IT / AI employees are difficult to hire
• Solutions must run smoothly in production and be scalable

AWS Related Features

• MLOps platform built in AWS cloud for easy connection to any shop-floor devices where the only requirement is available online connectivity.
• Secured easy scaling possibilities via quick deployment possibilities via AWS native apps.
• Full management overview of the connected devices and deployed software on them from native application in AWS.
• Utilization of AWS tools for easy data management and preparation for AI models re-training or just finetuning (AWS Sagemaker ) , versioning them and selecting the best for tests and final deployment.
• Possibility to gather data from multiple sources (online and offline) for further analysis in big data platforms such as AWS DataBricks or AWS EMR.