Features
Reference
Gesture Recognition
Our advanced algorithms map positional data into precise control signals, enabling seamless and intuitive smart device automation.
System Architecture
The FlickNest system integrates hardware and software for efficient data capture, processing, and execution of smart device commands:
- The smart bracelet captures positional data using sensors.
- Data is processed by the ESP32 microcontroller and sent to the mobile app.
- The app translates gestures into commands and communicates with smart devices via Bluetooth or Wi-Fi.
Key Features
- Hands-free operation with intuitive gestures.
- Inclusive design for accessibility.
- Secure and privacy-focused communication protocols.
Hardware Components
| Component | Description |
|---|---|
| ESP32 Module | Processes sensor data and communicates with the app. |
| Sensors | Capture precise positional data for gesture recognition. |
| Battery Pack | Ensures long-term usability of the smart bracelet. |
Budget Breakdown
| Item | Quantity | Unit Cost (LKR) | Total (LKR) |
|---|---|---|---|
| ESP32 Board | 1 | 1,000 | 1,000 |
| NodeMCU Development Board | 4 | 600 | 2,400 |
| IMU Sensor | 1 | 1,000 | 1,000 |
| IR Sensors | 3 | 300 | 900 |
| Battery Pack | 1 | 200 | 200 |
| Plug Sockets | 1 | 1,000 | 1,000 |
| Electronic Door Lock | 1 | 2,500 | 2,500 |
| 230V to 5V Converters | 4 | 300 | 1,200 |
| Relays, Triacs, Resistors, etc. | 4 | 300 | 1,200 |
| Wires, Soldering Components | 1 | 3,000 | 3,000 |
| Other Expenses | 1 | 2,000 | 2,000 |
| Flexible PCB for Wearable Band (with Circuit Components) | 1 | 10,000 | 10,000 |
| Total | 26,400 | ||