Image to license plate number

This workflow is ideal for:

• Developers looking to integrate image processing with license plate recognition in their applications.
• Businesses in the automotive or security sectors needing to automate the extraction of license plate numbers from images.
• Researchers interested in studying image recognition technologies and their applications.
• Hobbyists working on DIY projects related to automated vehicle identification or surveillance systems.

This workflow addresses the challenge of manually extracting license plate numbers from images. By automating this process, it:

• Saves time by eliminating the need for manual data entry.
• Increases accuracy in recognizing and extracting license plate information.
• Improves efficiency for industries that require quick access to vehicle identification data.

1. Manual Trigger: The workflow begins when a user uploads an image of a vehicle containing a license plate.
2. Settings Node: Predefined settings are established, including the language model to be used (openai/gpt-4o) and a prompt that instructs the model to extract the license plate number.
3. Basic LLM Chain: The uploaded image is processed through a language model that utilizes the specified prompt to analyze the image and extract the license plate number.
4. OpenRouter LLM: This node further processes the output from the previous step, utilizing the OpenRouter API to enhance the extraction accuracy.
5. Form Result Page: Finally, the extracted license plate number is displayed to the user in a completion message, providing a clear result of the workflow.