Aquila Vision is a web-based dashboard designed to monitor real-time data from smart bulletproof vests, particularly useful for military personnel or private security companies. The system allows for tracking vital signs, impact alerts, and location data, creating a safer environment for the wearer by facilitating remote monitoring and quick response.
- Smart Bulletproof Vest Dashboard: Displays vest IDs and critical information such as heart rate, impact alerts, and location.
- Real-time Map Integration: Monitors the wearer's location with live updates on Google Maps.
- Stopwatch: Built-in stopwatch functionality for mission timing.
- Heart Rate Monitor: Tracks heart rate with an animated waveform and provides real-time alerts if abnormal readings are detected.
- Impact Detection: Alerts the user if a significant impact is detected on the vest.
- HTML/CSS/JavaScript: Core web development technologies used to build the user interface.
- Google Maps API: For real-time location tracking and marker updates.
- Canvas API: For rendering a real-time heart rate waveform.
- Simulated Real-time Data: Updates include randomized location and heart rate data to mimic real-world functionality.
bash . ├── index.html # Main HTML file ├── index.css # Styling for the layout ├── menutab.css # Additional styling for the menu tab ├── index.js # Main JavaScript logic for the dashboard ├── images/ # Folder for image assets like logos and icons └── README.md # Project documentation
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Clone the repository: bash git clone https://github.com/username/aquila-vision.git
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Open the
index.htmlfile in your preferred browser. -
The dashboard will load with real-time simulated data. You can:
- View the location and data of bulletproof vests.
- Monitor heart rates and receive alerts for abnormal readings.
- Track the wearer's location via the integrated Google Map.
- Start the stopwatch for timing operations.
- Integration with actual hardware for real-time data.
- Improved UI/UX for enhanced usability.
- Backend support for data storage and retrieval.
- This project utilizes the Google Maps API for real-time location tracking.
- The UI and logic are designed for future integration with real-world military applications.