Solution

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Intel EIS

Intel EIS



Application Background
Certain ever-existing production-line quality issues like batch number leakage, content error, position offset and non-standard printing quality can lead to material waste, low production efficiency and unstable quality. Automatic inspection with machine vision can replace manual sampling inspection and improve the pass rates and total output.


Customer Requirements
Detects problems in time to halt production
Reduces or even eliminates manual downtime inspection
Avoids interference in production site and production process
Records data of spray printing in system and provides data query and statistics
Reasonably controlled cost


Product Feature
Modular design with accelerated software development
Containerized deployment, running based on docker, easily deployed to clients
Immediately usable after configuration and quickly copiable to new projects
Built-in AI capabilities coupled with different algorithms to achieve different functions
and applicable to different scenarios