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Project Hub /Healthcare Biomedical & Assistive/Smart Diagnostic Tools/Privacy Safe Radar Based Human Presence and Fall Detection
Privacy Safe Radar Based Human Presence and Fall Detection
Advanced
ESP32
₹5,000 – ₹15,000
6 – 12 Hours
Complete Kit

Privacy Safe Radar Based Human Presence and Fall Detection

A privacy-preserving fall detection and human presence monitoring system built on the ESP32-S3-BOX-3 platform using a ceiling-mounted mmWave radar sensor.

Originally published on CircuitDigest
View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

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How It Works

Why Build This

Develop a robust, privacy-first monitoring solution suitable for deployment in elderly care homes, assisted living facilities, and private residences.
Gain hands-on engineering experience integrating mmWave radar technology with real-time embedded operating systems and custom GUI visualization.
Implement wireless telemetry using UART modules and build companion PC applications in Python for remote data tracking.

Real-World Application

Elderly care homes, assisted living facilities, hospital rooms, and private residences where continuous fall monitoring is needed without compromising occupant privacy.

Skills You'll Learn

millimeter-wave radar data processing
wireless UART communication
FreeRTOS task management
LVGL graphical user interface design
Python PC visualization
embedded power management with lithium-ion cells

Safety Precautions

Ensure proper handling of Li-Ion 18650 batteries and use correct voltage levels to prevent short circuits.

Technology Tags

ESP32-S3
MMWAVE RADAR
LD6001
FREERTOS
LVGL
UART
WIFI
PYTHON
SIGNAL PROCESSING
IOT

Frequently Asked Questions

It utilizes an LD6001 60GHz mmWave radar module which measures spatial reflections and micro-motions rather than capturing optical video, ensuring occupant privacy is entirely preserved.
The pair of HC-12 Wireless UART modules establishes a wireless serial link, enabling the main ESP32 unit to transmit presence and fall alert data over a distance to a remote receiver or monitoring station.
Yes, the project includes a Python-based PC visualization client that connects to the system to display real-time telemetry and tracking information on your computer screen.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
PRJ-01336