Projects / Applied computer vision thesis system

Applied computer vision thesis system

Web-based physical-distancing detector using object detection and deep learning, later developed into a published thesis project.

computer-visiondeep-learningresearch

TimelineFeb 2021 – May 2021

An undergraduate capstone that became a peer-reviewed publication: a web-based detector for physical-distancing, designed with Indonesian deployment constraints in mind.

Problem

Public-health messaging needed tooling that could run closer to users than a batch offline study, while keeping the scope appropriate for a research prototype.

How it worked

  • YOLOv4-based object detection model trained and evaluated for the distancing use case.
  • Web integration — connected the detection pipeline to an interface that could run and display results in a browser.
  • Documentation and thesis narrative that later became a peer-reviewed journal article (see Credentials).
  • Reference implementation: github.com/anandakevin/bachelor-thesis-social-distance-detector

The browser interface connected model output to a usable web flow, and the thesis was later published in a peer-reviewed journal.

BINUS thesis application poster for a physical-distancing detector using deep learning and object detection in Indonesia.
Thesis application poster for the web-based physical-distancing detector.LinkedIn BINUS education record, thesis media.
BINUS thesis presentation cover for a web-based physical-distancing detector using deep learning and object recognition.
Thesis presentation cover for the web-based physical-distancing detector.Ananda Kevin Refaldo Sariputra, BINUS thesis materials.
Thesis pipeline showing object detection, distance determination, crowd detection, and summarized violation results.
The system flow from a video frame to a summarized distancing-violation result.Ananda Kevin Refaldo Sariputra et al., CommIT publication figures.
Web-based physical-distancing detector showing people detected in a realtime camera frame.
Realtime camera input with detected people and distancing states.Ananda Kevin Refaldo Sariputra et al., CommIT publication figures.
Web-based physical-distancing detector showing people detected in recorded video.
Recorded video input with object-detection overlays.Ananda Kevin Refaldo Sariputra et al., CommIT publication figures.

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