Robot Car with Flammable Gas Detector using IoT
Robot Car with Flammable Gas Detector using IoT is a mechatronic control prototype that can be demonstrated with Task-appropriate MQ-series gas sensor. A realistic FYP outcome is a working prototype with this processing path: Reads sensors, applies control logic and provides WiFi/Bluetooth when required; Converts readings into a documented state, threshold or event. The result is delivered through WiFi router/hotspot and dashboard service, Motor driver and geared DC motors. The important proof is repeatable Time-stamped database or data logger, not just a device that powers on.
Project Snapshot
Quick Summary
Robot Car with Flammable Gas Detector using IoT is a mechatronic control prototype idea for students who need a working demo with Task-appropriate MQ-series gas sensor. A good version focuses on WiFi router/hotspot and dashboard service, Motor driver and geared DC motors using ESP32 development board, Task-appropriate MQ-series gas sensor, WiFi router/hotspot and dashboard service, with testing evidence for input calibration or baseline, response time, repeatability, power stability, communications failure, and safe-state behaviour.
Difficulty
Intermediate
Time Required
4-8 weeks for wiring, coding, dashboard/app integration and repeated testing
Cost
No fixed price. Cost depends on selected controller, sensors, communication modules, casing, dashboard/app features and documentation scope.
Engineering profile
Mechatronic control prototype
Function Flow
Power and initialise
The regulated 5 v supply with common ground starts the ESP32 development board and connected modules within their voltage and current requirements.
Acquire the input
Task-appropriate MQ-series gas sensor supplies the project measurement, identity or trigger.
Validate the signal
Firmware rejects missing or implausible samples and applies calibration, debounce or averaging appropriate to the module.
Make the decision
The controller compares the validated value with the documented threshold, authorisation rule or operating state.
Act and communicate
Motor driver and geared DC motors presents the local result, while the communication link sends the corresponding event or reading.
Record and recover
The logger stores the input, decision, output and timestamp. On a fault, the system enters a defined safe state instead of silently continuing.
System Block Diagram
Functional signal and data path for the recommended prototype scope. Final pin assignments and electrical wiring must follow the exact module datasheets.
Task-appropriate MQ-series gas sensor
Detects a relative gas/smoke response after warm-up and baseline testing
ESP32 development board
Reads sensors, applies control logic and provides WiFi/Bluetooth when required
Filtering and decision logic
Converts readings into a documented state, threshold or event
Motor driver and geared DC motors
Drives the prototype mechanism with a separate motor supply
WiFi router/hotspot and dashboard service
Transfers readings and events to the selected application service
Time-stamped database or data logger
Stores readings, events and output states for report evidence
Recommended Components & Platform
ESP32 development board
controllerReads sensors, applies control logic and provides WiFi/Bluetooth when required
View component guide
Task-appropriate MQ-series gas sensor
inputDetects a relative gas/smoke response after warm-up and baseline testing
WiFi router/hotspot and dashboard service
communicationTransfers readings and events to the selected application service
Time-stamped database or data logger
dataStores readings, events and output states for report evidence
Motor driver and geared DC motors
outputDrives the prototype mechanism with a separate motor supply
Regulated 5 V supply with common ground
powerProvides stable power while keeping higher-current loads on suitable drivers
Engineering Validation Notes
Verify every module voltage, logic level, current draw and driver requirement against the exact purchased board datasheet before wiring.
Calibrate or baseline the input with known test conditions and report repeatability, response time and observed limitations.
Learning Resources
How to choose a strong FYP topic
Use this before locking the title, objectives and prototype scope.
FYP proposal: title, objectives and scope
A practical guide for turning a project idea into a supervisor-ready proposal.
Arduino Uno vs ESP32 for electronics FYP
Compare when Arduino is enough and when ESP32 is the better project controller.
IoT dashboard and data logging guide
Choose Blynk, Firebase, ThingsBoard or a custom dashboard with clearer evidence.
Electronics troubleshooting checklist before demo
Check wiring, power, sensors, alerts and backup demo flow before viva day.
Build Scope Options
Basic prototype
Core demo using ESP32 development board, Task-appropriate MQ-series gas sensor, WiFi router/hotspot and dashboard service, Time-stamped database or data logger with visible input and output response.
Intermediate prototype
Adds dashboard/database logging, alerts, calibration notes, and cleaner wiring for reliable demonstration.
Advanced prototype
Adds casing, mobile/cloud features, multi-node setup, image processing, maps, or reporting depending on scope.
Expected Demo Outcome
- Shows WiFi router/hotspot and dashboard service, Motor driver and geared DC motors from real or realistic Task-appropriate MQ-series gas sensor.
- Stores or displays Time-stamped database or data logger as report evidence.
- Demonstrates the main mechatronic control prototype workflow end to end.
- Includes a clear test scenario for input calibration or baseline, response time, repeatability, power stability, communications failure, and safe-state behaviour.
Accuracy & Limitations
This is realistic for FYP when the scope stays controlled: Validate the input-to-controller-to-output path with safe bench tests before adding cloud features, casing, or extra modules.
Prototype reliability depends on correct wiring, stable power supply, and proper module selection.
Sensor readings can vary with placement, calibration, environment, and demo conditions.
Low-cost gas sensors are suitable for relative detection and alerts, not laboratory-grade gas concentration measurement.
IoT demos depend on stable WiFi, hotspot, or internet access unless an offline backup mode is prepared.
Validation & Testing Plan
Run repeated tests under controlled demo conditions and record readings or status changes.
Verify input calibration or baseline, response time, repeatability, power stability, communications failure, and safe-state behaviour before adding extra features.
Capture photos, dashboard screenshots, serial logs, or database entries as testing evidence.
Document sensor/module limits honestly so the report does not overclaim industrial accuracy.
Troubleshooting
If readings are unstable, test the sensor separately before connecting the dashboard or app.
If the module resets, check power supply, common ground, loose jumper wires, and current requirements.
If alerts or cloud updates fail, test WiFi, hotspot, SIM balance, API token, and internet connection early.
If the demo is hard to explain, focus on one repeatable workflow for WiFi router/hotspot and dashboard service, Motor driver and geared DC motors.
Common Mistakes
- Choosing a scope that is too large for the available FYP timeline.
- Validate the input-to-controller-to-output path with safe bench tests before adding cloud features, casing, or extra modules.
- Writing objectives that do not match the actual prototype or software demo.
- Preparing no backup demo flow for viva day.
- Using weak power supply, loose jumper wires, or unprotected sensors during demonstration.
- Skipping calibration or test readings before presenting results.
Suggested Report Sections
Problem statement and project background
Objectives focused on mechatronic control prototype and achievable prototype scope
System block diagram showing Task-appropriate MQ-series gas sensor -> processing -> WiFi router/hotspot and dashboard service, Motor driver and geared DC motors
Methodology using ESP32 development board, Task-appropriate MQ-series gas sensor, WiFi router/hotspot and dashboard service, Time-stamped database or data logger with data flow and user/prototype workflow
Testing results for input calibration or baseline, response time, repeatability, power stability, communications failure, and safe-state behaviour
Limitations, discussion, and future improvements
Alternatives
Related Projects
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Voice-Controlled Classroom Demonstration Robot with Obstacle Avoidance
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Smart Whiteboard Eraser Robot with Edge Detection
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FAQ
Is "Robot Car with Flammable Gas Detector using IoT" suitable for FYP?
Yes. This title can be suitable for FYP or Projek Akhir Tahun when the scope is controlled. The recommended scope is validate the input-to-controller-to-output path with safe bench tests before adding cloud features, casing, or extra modules.
What difficulty level is this project?
The suggested difficulty is Intermediate. The actual difficulty depends on whether you choose a basic, intermediate, or advanced prototype scope.
What platform can this project use?
This project can be planned using ESP32 development board, Task-appropriate MQ-series gas sensor, WiFi router/hotspot and dashboard service, Time-stamped database or data logger. The final platform can be adjusted based on supervisor requirements and the chosen scope; common alternatives include Arduino, ESP32, Raspberry Pi, or another controller depending on the required features.
Is there a fixed project price?
No fixed price is published because the final quotation depends on project scope, features, timeline, hardware, software, and documentation requirements.
Can Rectronx help with documentation and demo preparation?
Yes. Rectronx can help with project planning, prototype development, coding explanation, report structure, testing evidence, and demo preparation.