JaeYeong-Li / KNU-20192-Team2

opencv, aws, python 기반의 청쀑 λ°˜μ‘ 뢄석 μ‹œμŠ€ν…œ
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Audience response analysis system based on emotion recognition algorithms

⌨ team project for [2019-2] KNU capstone project2
πŸ–± team mentor justinjoy πŸŽ₯ Demo Video: https://www.youtube.com/watch?v=6N2loif-hoY&feature=youtu.be

Introduction

A system that detects and analyzes people's faces in videos using Amazon Rekognition API Statistical analysis results to quantify audience responses

System Architecture

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Results

facial expression-based appraisal system

  1. Get snapshot while taking a video(GStreamer/cv2)
  2. save snapshot in local to web storage
  3. emotion analysis of snpashot
  4. process the anlaysis results into "emotion formula"
  5. Visualize Results

"emotion formula"

we formulate a formula with real video and people's reaction