mlsanityData to 7 Oct 2026

Effective Online Exam Proctoring by Combining Lightweight Face Detection and Deep Recognition

arXiv 2206.13356 ↗First posted 27 Jun 2022cs.CV eess.IVcited by 0

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Abstract (arXiv)

Online exams conducted via video conferencing platforms such as Zoom have become widespread, yet ensuring exam integrity remains challenging due to the difficulty of monitoring multiple video feeds in real time. We present iExam, an online exam proctoring and analysis system that combines lightweight real-time face detection with deep face recognition for postexam analysis. iExam assists invigilators by monitoring student presence during exams and identifies abnormal behaviors, such as face disappearance, face rotation, and identity substitution, from recorded videos. The system addresses three key challenges: (i)efficient real-time video capture and analysis, (ii) automated student identity labeling using enhanced OCR on dynamic Zoom name tags, and (iii) resource-efficient training and inference on standard teacher devices. Extensive experiments show that iExam achieves 90.4% accuracy in real-time face detection and 98.4% accuracy in post-exam recognition with low overhead, demonstrating its practicality and effectiveness for online exam proctoring.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 41 references that are in the map. First posted on arXiv 27 Jun 2022.

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11 of 41 references.

References · 11

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
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  3. 2014Going Deeper with Convolutionscited by 4,231
  4. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,827
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  6. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,833
  7. 2016SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model sizecited by 1,054
  8. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 895
  9. 2018MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Streamcited by 33
  10. 2021MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysiscited by 31
  11. 2021Examining the Examiners: Students' Privacy and Security Perceptions of Online Proctoring Servicescited by 2

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