Automate Image Validation Tasks using AI Vision
Simplify Image Validation with AI-Powered Vision Tools
In situations where users must submit images that meet certain criteria, such as passport photos or verification documents, manual validation is time-consuming and code-based solutions are often unreliable. Using multimodal LLMs with AI vision, this workflow automates the image validation process, ensuring accuracy and scalability. For example, in this case, we validate portraits based on passport photo requirements outlined by the UK government, confirming whether the images meet the necessary criteria for acceptance.
AI Image Processing from Google Drive to Validation
This workflow begins by fetching portrait images from Google Drive. Images are resized to optimize for performance and then passed through an LLM using a binary message option, allowing the portrait to be evaluated. With a prompt containing criteria sourced directly from the official passport photo guidelines, the LLM determines if the portrait is valid or not. The output is structured as a JSON object, making it easy to extend or integrate into other workflows. This powerful automation frees your team from manual checks while ensuring high accuracy.
Customizable Workflow for Various Image Validation Use Cases
While this demonstration focuses on portrait validation for passport photos, this workflow is highly adaptable. It can handle a wide range of image validation tasks, such as document verification, security footage analysis, and more. Don't need Google Gemini? The workflow is compatible with other multimodal LLMs like OpenAI's GPT-4 or Anthropic's Claude Sonnet. This flexibility ensures you can adjust it to fit your specific image validation needs, making it an indispensable tool for businesses handling visual data.
