AI Driven Quality Inspection In Production
By:
SoftServe
Inspection processes in manufacturing often require human intervention and experience to achieve good quality in a reasonable time. Presently, quality assurance measures implemented at the final stage of the production line are failing to identify every mistake originating from manual operations. Moreover, these measures are incurring significant expenses due to the belated discovery of faults in the manufacturing workflow. Using AWS products such as; Amazon EKS, Amazon Bedrock, Amazon SageMaker and AWS IoT Core.
Overview
HOW DOES IT WORK
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AI-based assistance system for automated inspection and control
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ML methods for continuous monitoring and control with cameras, structured light, and further sensors if needed
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System checks for surface-level/observable quality criteria as well the integrity of the assembly (e.g., components, placements, etc.)
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Inference on the edge with MLOPs pipeline for continuous development and monitoring of performance
HOW CAN YOU GET STARTED
SCOPE
- Determine challenges
- Definition of an inspection process
- Definition of hardware setup
DATA ACQUISITION
- Acquisition of data for different classes / labels
- Evaluation of data quality
- Dataset augmentation
DATA LABELLING & TRAINING
- Labelling of pictures
- Model training, evaluation, and optimisation
- Deployment of models
ROLL OUT & MONITORING
- Installation of hardware in production
- Continuous monitoring of model performance
- Retraining of model
| Sold by | SoftServe |
| Categories | |
| Fulfillment method | Professional Services |
Pricing Information
This service is priced based on the scope of your request. Please contact seller for pricing details.
Support
Contact us on this email for support: awsops@softserveinc.com