PRODUCTS

MAESTRO

Maestro will lead you from idea to deployment of a fully operational offline iDetect-4.0 agent.

iDetect-4.0 Development cycle

iDetect-4.0 was designed to enable a feed forward lifecycle, avoiding unbounded iteration times.

Thanks to this scheme we divide by 10 the lead time to put a fully functional model on the field compared to standard deep learning technologies.

DESIGN
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At design phase, the designer uploads a sample dataset and setups the agent configuration

EVALUTATION
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At evaluation phase, the designer tests the configuration on a test dataset. If the performances don’t reach expectations, it can go back to design and adjust the settings.

DEPLOY
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At deploy phase, DavinSy agents are built and packaged inside an iDetect-4.0 instance for each device in the target inventory.

USE
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At usage time, operator can monitor production health. iDetect-4.0 integrates with machine controller to receive status and pilot the machine by providing feedback. Operator can re-label erroneous predictions or newly spotted defects.

MAINTAIN
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Thanks to the automatic model qualification, Quality service is informed of availability of qualitative models and can decide to deploy them or not. Deployment is done live without stopping the machine.

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