
RF-Scout
Overview
This project centers on the design and implementation of RF-Scout, a mobile robotic system equipped with multi-sensor and RF-based technology for environmental data collection and wire detection. The system combines various modules to collect, store, and wirelessly transmit environmental, positional, and RF data.
Project Details
Upper Level Block Diagram
Controller Diagram
R/C-Scout Diagram
Signal Injector Diagram
Executive Summary
This project
centers on the design and implementation of RF-Scout, a mobile robotic
system equipped with multi-sensor and RF-based technology for environmental
data collection and wire detection. The system combines various modules to
collect, store, and wirelessly transmit environmental, positional, and RF data.
The robot is
powered by both an ESP32 and an Arduino Uno, which handle
processing and communication tasks. Key hardware includes a camera module
for visual monitoring, gas and temperature sensors for environmental
measurements, and a GPS module for location tracking. The system also
integrates RF and Wi-Fi modules, enabling both short- and long-range
communication. Real-time transmission is handled through Wi-Fi and RF
protocols, while a microSD card module ensures local data logging for
redundancy.
Visual
feedback is provided via LED indicators, which reflect system status and
data transmission activity. RF technology plays a dual role: enabling
wireless communication and acting as a tool for wire tracing, especially
in scenarios where traditional sensors are ineffective due to obstructions or underground
placement.
The robot’s
modular structure includes DC motors controlled by an L298N driver, a servo-mounted
ultrasonic sensor for obstacle avoidance, and a robust power supply
using series-connected lithium-ion batteries. Its design emphasizes scalability,
durability, and adaptability, making it suitable for complex environments.
Applications
range from infrastructure inspection and field surveying to environmental
monitoring, search and rescue, and smart agriculture. With
features like remote programmability, wireless control, and environmental
awareness, RF-Scout is a practical and innovative solution for real-world
challenges in mobile sensing and robotics.
This project
introduces the development of RF-Scout, a multi-sensor mobile robot
designed to collect, transmit, and store environmental and positional data in
real time. Built for robust performance in challenging environments, the system
combines RF technology with modern sensing and communication modules to
expand the capabilities of traditional wire-tracing devices.
At its core,
the system utilizes both an ESP32 and an Arduino Uno to manage
and coordinate components such as a camera module, temperature and
gas sensors, GPS, and ultrasonic sensors for obstacle detection.
Data is locally stored on a 32GB microSD card while also being
transmitted wirelessly through Wi-Fi, with additional support for Bluetooth
and RF modules (315 MHz and 433 MHz), ensuring reliable communication
across varying conditions.
A standout
feature is the use of RF signal detection to trace wires and detect
hidden signals underground or in obstructed areas—something conventional
sensors often struggle with. The robot also incorporates LED lighting
for low-light navigation and system status indication, enhancing operational
visibility and user feedback.
Powered by series-connected
lithium-ion batteries, and driven by L298N motor drivers, the
RF-Scout is designed for modularity, efficiency, and field adaptability. Its
applications include infrastructure inspection, field surveying, environmental
monitoring, and search and rescue, offering a scalable and
innovative solution for data collection in dynamic environments.
Motivation
The primary objective of this project is to design and
implement a mobile robotics system
capable of efficient data collection, storage, and wireless transmission in a
variety of environments. To achieve this, the system is built with the
following specific goals:
● Multi-Sensor Integration: Combine environmental and navigation sensors,
including a camera module, temperature sensor, and obstacle avoidance sensors, to enable
comprehensive data collection.
● Dual Microcontroller Management: Utilize both an ESP32 and an Arduino Uno
for optimized sensor control, data processing, and communication management.
● Reliable Data Storage and Transmission: Store sensor data locally using a microSD card while simultaneously
transmitting real-time data to a remote server via Wi-Fi, Bluetooth, and RF communication protocols.
● Enhanced Detection Capabilities: Employ RF
technology to detect wires or hidden
signals in areas that are otherwise difficult or impossible to access
manually.
● Low-Light Operation: Integrate LED
lighting to illuminate dark or low-visibility environments, enhancing the
effectiveness of the camera module and overall navigation.
● User Feedback and Monitoring: Use LED
indicators to provide visual feedback on system status, communication
activity, and operational alerts.
●
System Flexibility and
Scalability: Design the
platform to be adaptable for future expansion, allowing the addition of new
sensors or communication modules based on evolving needs.
Through these objectives, the project aims to deliver
a robust, versatile, and autonomous mobile system capable of supporting complex
field operations in real-world conditions.
System Overview
The mobile robotics data collection system is designed
as a compact, self-contained platform that integrates sensing, control, data
storage, and wireless communication capabilities. The system architecture
combines both hardware and software elements to ensure reliable operation in
various field conditions.
At the core of the system are two microcontrollers:
the ESP32 and the Arduino Uno. The ESP32 handles wireless communication tasks such as Wi-Fi, Bluetooth, and RF
transmission, while the Arduino Uno
is responsible for interfacing with critical sensors and managing basic
navigation and control operations.
A variety of sensors are installed on the mobile
robot, including:
● Camera Module: Captures visual data for monitoring and mapping
purposes.
● Obstacle Avoidance Sensors: Detects and prevents collisions with nearby objects.
● Temperature Sensor: Measures and records ambient environmental
conditions.
●
RF Detector Module: Identifies the presence of hidden wires or
signals in inaccessible areas.
To address both data storage and transmission needs,
the system utilizes a microSD card
for local data logging and employs Wi-Fi communication to stream real-time data
to a remote server for immediate access and analysis.
LED
lighting is incorporated into
the system for two main functions:
1. Area Illumination: Enhancing visibility for the camera and sensors in
dark or poorly lit environments.
2.
System Status Indication: Providing real-time feedback to users on
communication states, battery levels, and operational alerts.
All components are mounted on a mobile platform equipped
with a power management system, ensuring long operational periods in the field.
The robot's modular design allows for easy upgrades, making the system highly
adaptable for a wide range of applications including environmental research,
infrastructure inspection, and rescue missions.
Project Information
-
Start Date:
August 26, 2024 -
Completion Date:
May 19, 2025 -
Status:
In Progress