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Intelligent invigilator system based on target detection

Multimedia Tools and Applications, ISSN: 1573-7721, Vol: 82, Issue: 29, Page: 44673-44695
2023
  • 1
    Citations
  • 0
    Usage
  • 22
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    1
  • Captures
    22
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Findings from Nanjing University of Posts and Telecommunications Broaden Understanding of CDC and FDA (Intelligent Invigilator System Based On Target Detection)

2023 JUN 13 (NewsRx) -- By a News Reporter-Staff News Editor at CDC & FDA Daily -- Researchers detail new data in CDC and FDA.

Article Description

Affected by the COVID-19 epidemic, the final examinations at many universities and the recruitment interviews of enterprises were forced to be transferred to online remote video invigilation, which undoubtedly improves the space and possibility of cheating. To solve these problems, this paper proposes an intelligent invigilation system based on the EfficientDet target detection network model combined with a centroid tracking algorithm. Experiments show that cheating behavior detection model proposed in this paper has good detection, tracking and recognition effects in remote testing scenarios. Taking the EfficientDet network as the detection target, the average detection accuracy of the network is 81%. Experiments with real online test videos show that the cheating behavior detection accuracy can reach 83.1%. In addition, to compensate for the shortage of image detection, we also design an audio detection module to carry out auxiliary detection and forensics. The audio detection module is used to continuously detect the environmental sound of the examination room, save suspicious sounds and provide evidence for judging cheating behavior.

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