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SIREN

A patented wearable safety system built for high-risk environments where conventional communication networks fail.

SIREN integrates environmental sensing, motion intelligence, LoRa-based mesh communication, and predictive machine learning to detect and relay distress signals without relying on cellular or Wi-Fi infrastructure. Designed for miners, first responders, remote field workers, and anyone operating beyond the reach of standard networks.

Awarded Most Commercially Viable Project — InCITe 2026, Department of Information Technology, ASET, Amity University Noida.


How it works

  • Environmental sensing — monitors temperature, humidity, gas levels, and ambient conditions in real time
  • Motion intelligence — detects falls, sudden impacts, and abnormal movement patterns
  • LoRa communication — transmits alerts across long distances without internet or cellular dependency
  • Predictive ML — learns baseline behaviour to flag anomalies before they become emergencies
  • Wearable form factor — designed to operate continuously in harsh physical conditions

Stack

  • Embedded C / MicroPython
  • LoRa (long-range radio communication)
  • Sensor fusion (IMU, environmental arrays)
  • On-device ML inference
  • GitHub Actions (CI workflow)

Contributors

  • Ishita Dhiman — Backend/Frontend, Research, testing, and documentation
  • Ishita DhamScrum Master Backend/Frontend, Research, and Designer
  • Shishir Dwivedi — system architecture, ML pipeline, hardware integration
  • Arul Gupta — Hardware design and embedded systems (foundational contributions)

Mentored by Dr. Nitasha Hasteer, Dr. Sanjay Sinha, and Dr. Kamlesh Pandey — Amity University, Noida.


Patent held. For collaboration or research inquiries: shishir.dwivedi@gingxr.com

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Patented wearable safety system for high-risk environments — LoRa comms, env. sensing, predictive ML.

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