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The project aims to use CCTV cameras and other surveillance systems to do monitoring and analysis of a crowd. By using this technology one can detect unusual crowd behavior, and make sure people don’t enter restricted areas.

License: MIT License

Python 100.00%
bounding-boxes convolutional-neural-networks motion-detection yolov4

crowd-monitoring's Introduction

Hey there, I'm Rajath Kotyal

👨‍💻 About Me

  • 👩🏻‍💻 Pronouns: He/Him
  • 🎓 I’m currently a graduate student studying Information Technology (Computer Science Domain) at Carnegie Mellon University.
  • 💼 I work as a Research Intern at TEEL Labs in Pittsurgh, PA, USA.
  • 📋 I previously worked as a Backend Product Developer at BMC Software
  • 🌐 Opensource Contributor - 10K + Downloads Downloads
  • 🧭 Like exploring and contributing to Deep Learning, Distributed Systems, ML & Cloud Computing projects.
  • 🎒 I've done virtual experiences at JP Morgan Chase and Accenture in software engineering and management.
  • 🎭 I like to play lawn tennis, play the piano, and hang out with people.
  • 📫 How to reach me: Check social links below.

🛠️ Languages and Tools

GRPC  Kafka  JavaScript  React  Redux   Java  Spring 

☕ Hit Me Up Here

LinkedIn

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