An Arduino-based smart factory automation prototype developed to enhance industrial safety, monitoring, and automation. The system integrates motion, gas, and proximity sensors to automatically control motors, LEDs, relays, and a servo motor based on real-time conditions. The complete circuit was designed, tested, and validated using Tinkercad simulation before hardware implementation.
This project was carried out as part of IoT Live Industrial Training by 1stop.ai, and is supported by a detailed project report that includes a comprehensive study of smart factory systems and their industrial relevance.
- Motion detection using PIR sensor with automatic fan and lighting control
- Gas concentration monitoring with motor-based safety response
- Human proximity detection using ultrasonic sensor for servo actuation
- Automated control of motors, LEDs, relays, and servo motor
- Serial monitoring of sensor data for testing and debugging
- Complete circuit simulation performed using Tinkercad
- Documentation supported by a detailed industrial project report
- Arduino Uno
- PIR Motion Sensor
- Gas Sensor
- Ultrasonic Sensor
- Servo Motor
- DC Motors
- Relays
- LEDs
- Arduino IDE
- Tinkercad (Circuit Simulation)
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IoT Live Industrial Training – 1stop.ai
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Detailed project report covering:
- Smart factory concepts
- System architecture
- Sensor–actuator integration
- Automation logic and safety mechanisms
| Resource Type | Link |
|---|---|
| Tinkercad Circuit Simulation | https://www.tinkercad.com/things/c3yQ29CFIHa-smartfactorysystem |
| Arduino Source Code | code/smart_factory.ino |
| Project Report | https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fraw.githubusercontent.com%2FDivyanshiIoTDev%2FArduino-Smart-Factory-Monitoring-System%2Frefs%2Fheads%2Fmain%2FPROJECT%2520iot%2520smart%2520factory%2520system.docx&wdOrigin=BROWSELINK |
- Smart factory monitoring
- Industrial safety automation
- IIoT academic mini-projects
- Embedded systems learning
- Developed as part of industrial training and academic learning by 1stop.ai
- Simulation-first approach followed for correctness and validation