🪔 Diwali Break: Orders placed now will ship from 25th November 2026. Place your order today — we'll get it to you right after we're back!
Project Hub /Security Surveillance & Defense/Intrusion Detection Systems/360 Degree Lidar Security System Range Upto 8m
360 Degree Lidar Security System Range Upto 8m
Intermediate
RASPBERRY PI
Project Specific
3 – 6 Hours
Partial Kit

360 Degree Lidar Security System Range Upto 8m

Build a 360-degree LiDAR security system using a Raspberry Pi and YDLIDAR to monitor surroundings and track moving objects in real-time.

Originally published on ElectronicsForU
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.

We don't carry yet: Laser / LiDAR / ToF Sensor

Browse all components

How It Works

Why Build This

Develop practical expertise in deploying optical distance-measurement sensors for real-time spatial mapping and environmental surveillance.
Implement data-processing pipelines using Python, NumPy, and Matplotlib to transform raw sensor streams into actionable graphical visualizations.
Design and validate active perimeter security and intruder-detection architectures suitable for autonomous robotics and restricted-area monitoring.

Real-World Application

Restricted area monitoring, perimeter security, intruder detection, and autonomous navigation for robotics.

Skills You'll Learn

Serial communication protocol handling
LiDAR data parsing
point cloud processing
real-time data visualization
Python sensor integration

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

LIDAR
PYTHON
NUMPY
MATPLOTLIB
YDLIDAR
SECURITY SYSTEM
ROBOTICS
SENSORS

Frequently Asked Questions

The YDLIDAR X2L model used in this project has a maximum range of up to 8 meters for environmental scanning and object detection.
Yes, by connecting a monitor to the Raspberry Pi 5, you can run the Python and Matplotlib visualization scripts directly on the desktop interface.
Yes, you will need to install the YDLIDAR SDK to communicate with the hardware, along with Python 3, NumPy, and Matplotlib for processing and displaying the scan data.

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-00380