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Computer Vision Measurement

Soft skills were 'unmeasurable' — until vision and audio AI. We analyze recorded or live performance to give objective, repeatable feedback on how people present, communicate and behave.

Ask three observers to rate a presentation and you get three opinions. Ask them again next month and you get three different ones. Computer vision and audio analysis make behavioral skills measurable: gaze and posture, gesture range, speaking pace, filler-word frequency, pause discipline, vocal energy — extracted consistently from video, every time, for every person.

What We Measure

  • Presentation skills: Eye contact, body orientation, gesture usage, slide dependence, pacing.
  • Speech quality: Pace, filler words, pauses, monotony versus vocal variety, clarity.
  • Communication behavior: Turn-taking, interruption patterns and listening signals in recorded role-plays and meetings.
  • Practice loops: Trainees record, get structured feedback in minutes, and re-record — deliberate practice at scale, no scheduling required.

Designed Ethically

This is a development tool, not surveillance. Analysis runs on consented recordings in defined training contexts; participants see their own results first; data handling follows KVKK/GDPR principles. Scores feed personal growth plans through our AI assessment layer, and aggregate anonymized trends can inform L&D via dashboards.

Feedback like "be more confident" changes nothing. "Your pace was 172 words per minute and you looked at the slides 61% of the time" changes behavior.
Frequently Asked Questions

About Computer Vision Measurement

Is this used to monitor employees?
No. It is a consent-based development tool used in defined training contexts — participants know they are recorded, and see their own results first.
How accurate is the analysis?
Modern vision and speech models measure observable signals (gaze, pace, fillers, posture) with high consistency — the same performance always gets the same score, which human raters cannot promise.
Does it work in Turkish?
Yes. Speech analysis supports Turkish as well as English, and the visual signals are language-independent.
What do participants receive?
A structured report: measured signals, comparison to their previous attempts, and concrete practice recommendations — feedback in minutes, not weeks.
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