AI Vision Agent: License Plate Extractor (via OpenRouter)
Integrates with:
Overview
Unlock Automated License Plate Recognition with this AI Vision Agent
This AI Vision Agent is designed to automatically analyze images and extract license plate numbers with high accuracy. It takes an uploaded image containing a vehicle, processes it using a powerful multimodal Large Language Model (like OpenAI's GPT-4o accessed via OpenRouter), and returns just the license plate characters. This agent acts as a specialized 'Vision and Text Extraction' tool, perfect for automating tasks that require identifying vehicles from images.
Key Features & Benefits
- AI-Powered Vision: Accurately detects and reads license plates from various image types using advanced AI.
- Advanced Model Access: Leverages state-of-the-art multimodal LLMs (e.g., GPT-4o) through OpenRouter for superior text extraction from images.
- Simple Integration: Easily triggered by an image upload via an n8n form or adaptable to other image sources within your n8n workflows.
- Focused Output: Delivers only the extracted license plate string, minimizing the need for post-processing.
- Efficiency Boost: Automates a typically manual, time-consuming, and error-prone data entry task.
- Customizable: The prompt and model can be adjusted in the 'Settings' node for fine-tuning or adapting to slightly different vision-based text extraction tasks.
Use Cases
- B2B SaaS (Parking Solutions): Automate vehicle entry/exit logging by capturing license plates from uploaded images or camera feeds.
- B2B SaaS (Security & Surveillance): Enhance incident reporting by quickly extracting license plate details from security camera snapshots.
- B2C E-commerce (Automotive Parts): Allow customers to upload images of their car/license plate to find compatible parts or verify vehicle identity for services.
- Fleet Management (B2B/B2C Services): Streamline vehicle check-in/out processes by digitizing license plates from driver-submitted photos.
Prerequisites
- An n8n instance (Cloud or self-hosted).
- An OpenRouter API Key.
- Sufficient OpenRouter credits and access to a vision-capable model (e.g.,
openai/gpt-4o
is pre-configured in the workflow).
Setup Instructions
- Download the n8n workflow JSON file.
- Import the workflow into your n8n instance.
- Configure the 'OpenRouter LLM' node: create or select your OpenRouter API credentials. This credential needs access to the model specified in the 'Settings' node (default:
openai/gpt-4o
). - (Optional) Review the 'Settings' node. You can adjust the
model
to another OpenRouter-compatible vision model or refine theprompt
for specific image conditions or extraction needs. - The workflow is triggered by the 'FromTrigger' (Form Trigger) node. You can test by running the workflow and uploading an image through the form generated.
- The extracted license plate will be displayed by the 'FormResultPage' node.
- Activate the workflow for live use or integrate its core logic into your broader automation scenarios.
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