How does subject analysis work

How does subject analysis work?

Subject analysis is Smooth Operator's way of understanding who and what is in your video. It detects faces, people, and bodies in your footage so that the AI can make smarter camera movement suggestions.

What subject analysis does

When you use the AI Camera Assistant for the first time in a project, the app automatically analyzes your video to:

This information helps the AI generate camera movements that keep subjects properly framed.

How to see subject analysis in action

  1. Open the AI Camera Assistant in any project.
  2. Send your first message.
  3. Before the AI responds, you will see a status bar:
    • "Analyzing video for faces/bodies... X%" with a purple progress bar.
  4. When complete, one of three results appears:
    • "Found X subject(s)" (green) — Subjects were detected successfully.
    • "No faces/bodies detected in video" (orange) — The analysis ran but found nothing.
    • "Subject tracking failed: [error]" (red) — The analysis encountered an error.

What gets detected

Subject analysis can identify:

Each detected subject is labeled (e.g., "Face 1," "Person 1") and tracked across frames.

Analysis phases

The analysis goes through several phases internally:

  1. Loading video — Preparing the video for analysis.
  2. Analyzing frames — Processing each frame (e.g., "Analyzing frame 45/300").
  3. Tracking subjects — Following detected subjects across frames.
  4. Building tracks — Creating continuous subject tracks.

On Apple Silicon Macs, the analysis can use the Neural Engine for faster processing.

What happens if analysis fails

Subject analysis is best-effort — it is not required for AI features to work. If it fails:

Performance and privacy

Tips

Related articles