newton-camera-frame-analysis

Analyze live webcam frames as base64 JPEG via Newton's vision model.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill newton-camera-frame-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: newton-camera-frame-analysis
Source: https://github.com/archetypeai/newton-earthquake-demo/tree/main/.claude/skills/newton-camera-frame-analysis
Command: npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill newton-camera-frame-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opencv-python, archetypeai, and includes scripts (resource) components.

What problem does it solve?

Enables real-time interpretation of webcam frames using Newton's vision model via model.query, capturing frames as base64 JPEG and sending them to Newton for on-demand analysis.

Core Features & Use Cases

  • Real-time frame description and visual Q&A for live scenes and presence detection.
  • Continuous monitoring of a camera feed with question-driven analysis.
  • End-to-end workflow from frame capture to model response via a lens and session.

Quick Start

Run the live camera-frame-analysis workflow and ask a question about the current frame.

Frequently Asked Questions about newton-camera-frame-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze live webcam frames with a vision model in Python?

Real-time webcam analysis works by encoding frames as base64 JPEG and sending them to Newton's vision model via model.query for immediate interpretation of live scenes.

Can I use OpenCV with Python for continuous real-time scene description and presence detection?

Yes, continuous monitoring of an OpenCV camera feed is supported through a session-driven workflow that initializes the processor and sends question-driven queries to the vision model for presence detection.

What do I need to set up before sending webcam frames to Newton's vision model?

You need to register a lens with model parameters for Newton::c2_4_7b_251215a172f6d7, ensure consistent instruction and focus, and initialize the processor in a session-driven workflow before sending queries.

Does real-time camera analysis work for both desktop and mobile webcam setups?

Real-time camera frame analysis applies to visual question answering and safety monitoring across both desktop and mobile setups, requiring consistent instruction and focus for the vision model.

What is the best way to perform visual question answering on a live camera feed?

The best way is to use a lens and session workflow that captures frames as base64 JPEG and sends them to Newton's vision model via model.query for on-demand, question-driven analysis of the live feed.

Why does my webcam frame analysis require lens registration and a session-driven workflow?

Lens registration with model parameters for Newton::c2_4_7b_251215a172f6d7 and a session-driven workflow are required to initialize the processor and maintain consistent instruction and focus before sending model queries.