What Goes in a Vision AI Solution Catalog

Vision AI solution catalog entries are standardized packages rather than raw models, designed to overcome common challenges in AI deployment across multiple sites by including six key artifacts: a trained model with documented accuracy thresholds, an inference pipeline configured for target hardware, an HMI pattern for operator interaction, an integration template for systems like PLC and SCADA, a deployment runbook, and acceptance criteria for testing at receiving sites. Traditional approaches often fail as each site starts from scratch, leading to siloed knowledge and high costs, while a standardized catalog enables efficient scaling by allowing plants to adapt a pre-vetted solution to local variations, reducing time to value significantly. This methodology is a crucial step in the Vision AI Maturity Model, enabling operational integration by turning successful pilots into reusable assets for an entire network, while avoiding pitfalls such as bespoke integrations and catalog drift. The Roboflow Vision AI Center of Excellence Blueprint provides guidance on building these catalog entries, including a maturity model and roles to manage the process, ensuring that every new deployment is faster and cheaper, driven by a template established through a proven use case.

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