Retrieve vehicle registration number from an image submitted through an n8n form.
This workflow retrieves license plate numbers from images submitted through an n8n form by utilizing a Vision Language Model, subsequently presenting the gathered data.
How it works
This workflow is designed to extract vehicle registration numbers from images submitted through an n8n form. The process begins when a user uploads an image via the form, which triggers the workflow. The first node in the sequence is the "Webhook" node, which listens for incoming HTTP requests. When an image is submitted, the webhook captures the data, including the image file.
Following the webhook, the workflow utilizes a "Function" node to prepare the image data for processing. This node is responsible for extracting the relevant information from the incoming request, specifically the image file that contains the license plate.
Next, the workflow connects to a "Vision Language Model" node, which is tasked with analyzing the image. This node employs advanced image recognition technology to identify and extract the license plate number from the uploaded image. The output of this node is the detected license plate number, which is then passed to the subsequent node.
The final step in the workflow is the "Respond to Webhook" node. This node sends the extracted license plate number back to the user as a response to their initial request. The workflow effectively captures the image, processes it to extract the necessary information, and returns the result, all in a seamless flow.
Key Features
1. Image Upload Capability:
The workflow allows users to upload images directly through an n8n form, making it user-friendly and accessible.
2. Automated Data Extraction:
By utilizing a Vision Language Model, the workflow automates the process of extracting license plate numbers, reducing manual effort and increasing accuracy.
3. Real-time Response:
The workflow provides immediate feedback to users by responding with the extracted license plate number, enhancing user experience.
4. Scalability:
The design of the workflow allows for easy scalability, enabling it to handle multiple requests simultaneously without performance degradation.
5. Integration with n8n:
Leveraging n8n's capabilities, this workflow can be easily integrated with other services and tools, allowing for further automation and data processing.
Tools Integration
1. Webhook Node:
Captures incoming HTTP requests containing the image data.
2. Function Node:
Processes the incoming data to extract the image file for analysis.
3. Vision Language Model Node:
Analyzes the image to detect and extract the license plate number.
4. Respond to Webhook Node:
Sends the extracted license plate number back to the user as a response.
API Keys Required
No API keys, credentials, or authentication configurations are required for this workflow to function. It operates solely based on the capabilities of the n8n platform and its integrated nodes.
