In this recorded webinar, we walk through how to use Snowflake and LandingLens, a native vision AI app, to connect to a YouTube livestream, detect vehicles like passenger cars, trucks, and school buses, and visualize the data in a real-time dashboard built with Streamlit.
You’ll learn how to:
- Collect and label training images from a video stream
- Train a custom object detection model using LandingLens
- Deploy the model to an API endpoint
- Send images from a live feed for inference every 10 seconds
- Store structured results in Snowflake tables
- Build interactive analytics and visualizations in Streamlit
- Expand this setup to other use cases, from traffic monitoring to wildlife detection
