ESP32-S3 Predictive Maintenance Kit: Industrial IoT Drowsiness Detection
Industrial Predictive Maintenance Kit with ESP32-S3: Drowsiness Detection Camera System for Operator Safety
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Prevent fatigue-related accidents on the factory floor with a compact, edge-AI system that detects when a machine operator is drowsy. Using the OV2640 camera module, the ESP32-S3 captures the eye region and runs a lightweight MobileNetV1 classifier to measure blink rate in real time. When drowsiness patterns emerge, the system instantly triggers a buzzer and vibration motor-giving workers a life-saving alert before microsleep sets in.
What You'll Build
You'll assemble and program a standalone predictive maintenance device that monitors a machine operator's eyes via the OV2640 camera. The ESP32-S3 processes the video stream, running a TensorFlow Lite Micro model trained to classify normal versus drowsy blink patterns. The output is a clear, immediate warning through an active buzzer and coin vibration motor, with timestamped log data stored on a MicroSD card.
What You'll Learn
- Deploy a computer vision model (MobileNetV1) on the ESP32-S3 microcontroller with TensorFlow Lite Micro
- Interface the OV2640 camera and extract region-of-interest (eye) from the video stream
- Implement real-time alarm logic using GPIO-controlled buzzer and vibration motor
- Log sensor events with timestamp to MicroSD using the DS3231 RTC
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | x1 |
| OV2640 Camera Module | x1 |
| Active Buzzer | x1 |
| Coin Vibration Motor | x1 |
| BC547 Transistor | x1 |
| LM2596 Buck Converter | x1 |
| 0.96in OLED | x1 |
| DS3231 RTC | x1 |
| MicroSD Module | x1 |
| 100nF Caps | x10 |
| 4.7k? Resistors | x5 |
| PCB Prototype Board | x2 |
| 12V Car PSU | x1 |
| Enclosure Box | x1 |
| Soldering Iron | x1 |
| Solder Wire | x1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This kit is designed for B.Tech (ECE, EEE, CS) students building an Industry 4.0 final-year project, professionals in industrial automation prototyping a machine monitoring solution, and teams participating in hackathons like Smart India Hackathon that focus on worker safety. It's also ideal for makers exploring edge AI deployment on the ESP32-S3 platform.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code included in the box to launch the AI companion, which provides step-by-step troubleshooting. You can also reach the Compoden team directly via WhatsApp for personalised guidance.
Do I need prior machine learning experience to build this kit?
Some familiarity with Python and TensorFlow helps, but our AI companion guides you through model conversion, deployment, and calibration step-by-step. We've pre-optimized the MobileNetV1 model, so you can focus on the hardware assembly and real-world testing.
Can this system be used in a real factory environment?
Yes, once assembled and enclosed in the provided box, it can be powered by a 12V car PSU. However, this kit is a functional prototype. For deployment in production, additional safety certifications and industrial enclosures may be required.
What if my camera doesn't detect eyes reliably?
The AI companion includes a calibration routine that helps you adjust lighting, camera distance, and the eye-cropping parameters. We also provide a test mode to visualize the detected region on the OLED display before final deployment.
Industrial IoT - OV2640 captures eye region. MobileNetV1 blink rate classifier on ESP32-S3 triggers buzzer on drowsiness.
What's in this kit
Choose your assembly option:
- Soldering Kit - 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo - 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items