Automated ADAS Event Annotation with AI and Supabase
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Streamline your Advanced Driver-Assistance Systems (ADAS) data annotation process with this AI-powered n8n workflow. It leverages natural language processing and Supabase to intelligently process, embed, and store ADAS event data, making it ready for model training and analysis.
About This Workflow
The ADAS Event Annotator workflow automates the critical task of processing and annotating data for Advanced Driver-Assistance Systems. It begins by receiving raw ADAS event data via a webhook. This data is then intelligently split into manageable chunks for processing. Leveraging Cohere embeddings, the text is transformed into vector representations, which are then efficiently stored and indexed in Supabase. This enables powerful semantic searching and retrieval. The workflow integrates with OpenAI's chat capabilities, allowing for contextual understanding and intelligent agent-based annotation, all while logging key events to a Google Sheet for auditing and review. This solution significantly reduces manual effort and accelerates the development cycle for ADAS technologies.
Key Features
- Automated Data Ingestion: Seamlessly receive ADAS event data through a webhook.
- Intelligent Text Chunking: Dynamically splits data for optimal embedding and processing.
- AI-Powered Embeddings: Utilizes Cohere for robust text vectorization.
- Vector Database Integration: Stores and queries data efficiently in Supabase.
- Conversational AI Agent: Employs OpenAI for contextual understanding and annotation assistance.
- Data Logging: Automatically logs processed events to a Google Sheet.
How To Use
- Configure Webhook: Set up the
Webhooknode to receive your ADAS event data. - Adjust Text Splitter: Fine-tune the
Splitternode'schunkSizeandchunkOverlapparameters for optimal data segmentation. - Set Up Credentials: Configure your
Cohere API,Supabase account, andOpenAIcredentials in n8n. - Define Supabase Index: Ensure your Supabase vector index (
adas_event_annotator) is created and accessible. - Configure Google Sheets: Provide your
SHEET_IDandLogsheet name in theSheetnode and set upSheetscredentials. - Customize Agent Prompts: Adapt the
Agentnode's prompt for specific annotation requirements if needed. - Trigger and Monitor: Activate the workflow and monitor the data flow and logs in your Google Sheet.
Apps Used
Workflow JSON
{
"id": "bbbdacba-a18a-40f8-acff-f10294b9577d",
"name": "Automated ADAS Event Annotation with AI and Supabase",
"nodes": 28,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: bbbdacba-a18a...
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