Project Hub /Robotics & Autonomous Systems/AGV & Industrial Rovers/DIY UV Sanitization Robot with Code and Circuit

Intermediate

RASPBERRY PI

Project Specific

3 – 6 Hours

Partial Kit

DIY UV Sanitization Robot with Code and Circuit

Build a remotely controlled UV sanitization robot powered by a Raspberry Pi featuring live video streaming and a custom Python GUI to safely disinfect hospital rooms.

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.

Raspberry Pi 3 - Model B+ 1.4Ghz 64-bit quad-core Processor with 1 GB Ram (Original) Rs. 9,810.00
110 RPM Single Shaft BO Motor – Straight Rs. 99.00
L298N Dual H-Bridge Motor Driver Module – 2A Rs. 195.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: Battery (generic / unspecified)
UV Light Source

Browse all components

How It Works

The DIY UV Sanitization Robot operates as an integrated electromechanical system controlled primarily by a Raspberry Pi 5 running Raspbian OS. The system architecture divides into power, processing, locomotion, vision, and sanitization subsystems. A dedicated power supply and battery unit delivers the necessary electrical energy to the Raspberry Pi, motor driver, and UV light source. The Raspberry Pi acts as the central processing unit, executing a Python 3 script that manages both hardware control and user interface tasks. For mobility, the motor driver receives control signals from the Raspberry Pi to regulate the direction and speed of the motors attached to the robot chassis, enabling remote navigation. Visual feedback is provided by the Raspberry Pi Camera Module, which captures live video feeds of the robot's environment. Operators can interface with the robot remotely over a network using VNC Server and VNC Viewer, interacting with a custom graphical interface built using the guizero library. This GUI displays the live camera stream—processed via OpenCV—and includes interactive controls that interface with the gpiozero library to maneuver the vehicle and toggle the UV Light Source on or off as needed during operation.

Why Build This

Design and deploy an autonomous or remotely operated mobile platform capable of chemical-free surface disinfection in critical environments.

Integrate high-level Python software libraries (such as OpenCV and guizero) with low-level GPIO hardware management for real-time video streaming and robotic control.

Apply power electronics and motor driver principles to manage power distribution between high-draw components like UV lamps and sensitive logic boards.

Real-World Application

Automated disinfection of hospital rooms, quarantine zones, and public spaces to prevent the spread of infectious microorganisms without risking human health.

Skills You'll Learn

GPIO hardware control

Motor driver interfacing

Computer vision video streaming

Graphical user interface development

Remote network desktop management

Power distribution management

Safety Precautions

UV radiation is harmful to human eyes and skin; always operate the robot in a closed, unoccupied room and avoid direct exposure to the UV light source.

Technology Tags

RASPBERRY PI

PYTHON

OPENCV

VNC

GPIO

WI-FI

ROBOTICS

UV GERMICIDAL IRRADIATION

GUI DEVELOPMENT

Frequently Asked Questions

Can I control this robot from a laptop instead of connecting a screen directly to the Raspberry Pi?

Yes. The project utilizes VNC Server and VNC Viewer, allowing you to wirelessly access the Raspberry Pi's desktop environment and control interface from another computer on the same network.

What is the purpose of the OpenCV library in this specific setup?

OpenCV is used for computer vision tasks, primarily handling and processing the live video feed captured by the Raspberry Pi Camera Module so it can be viewed smoothly through the custom graphical interface.

How does the Raspberry Pi safely supply power to both the motors and the UV light source?

The Raspberry Pi acts as the logic controller, but high-current components like motors and the UV light source draw power directly from the dedicated power supply/battery through the motor driver rather than pulling heavy current directly from the Pi's GPIO pins.

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-00216