AR First Aid Instruction App – IT & Computer Engineering Guide
1. Project Overview
The AR First Aid Instruction App is an augmented reality mobile application designed to guide users through life-saving first aid procedures in real time using visual overlays and audio instructions. The app uses the smartphone’s camera to recognize environments and simulate emergency scenarios with step-by-step instructions to educate and support users in responding to injuries and accidents.
2. System Architecture Overview
- AR Engine: Renders 3D models and animations over the
real-world view
- Scenario Recognition: Detects objects/persons to match with aid protocols
- Instruction Module: Guides user through steps with audio-visual prompts
- User Interaction: Taps, voice commands, or gestures
- Cloud/Local Database: Stores procedure logic and user progress
- Optional Emergency Mode: Connects to emergency services if needed
3. Hardware Components
|
Component |
Specifications |
Description |
|
Smartphone / Tablet |
ARCore or ARKit compatible |
Main device for app use |
|
Camera |
HD RGB rear camera |
Captures surroundings for AR overlay |
|
Microphone |
Built-in |
For voice control and emergency detection |
|
Speakers |
Built-in or earphones |
Provides voice-guided instructions |
4. Software Components
4.1 Development Tools
- AR SDKs: ARCore (Android), ARKit (iOS), or Unity AR
Foundation
- Animation & Modeling: Blender, Maya for 3D instructional overlays
- Backend: Firebase, AWS, or Django for cloud storage and logic
- Audio & Voice: TTS engines like Google TTS, Amazon Polly
4.2 Programming Languages
- Kotlin/Java (Android), Swift (iOS), C# (Unity), Python (backend), JavaScript (dashboard)
4.3 Libraries and SDKs
- ARCore/ARKit/Unity AR Foundation
- TensorFlow Lite (for scene/object detection)
- Text-to-Speech (Google, Amazon, native TTS)
- Dialogflow or Rasa for voice command integration
5. Instructional Modules and Scenarios
- CPR Guide: Step-by-step chest compression timing with
visual aid
- Choking Relief: Positioning and technique visualization
- Bleeding Control: Tourniquet/pressure guidance
- Burns & Fractures: Cooling, dressing, splinting steps
- AED Use: Device recognition and animated usage guide
6. User Interaction & Accessibility
- Interface: AR buttons, tap to proceed
- Voice Control: Start/stop instructions hands-free
- Gesture Recognition: Hand tracking (optional)
- Accessibility: Large fonts, high-contrast UI, multilingual support
7. Safety and Realism
- Animation Speed: Adjusts to user pace
- Instruction Timing: Syncs with real-time CPR or actions
- Voice Feedback: Calming tone and repeatable steps
- Safety Disclaimer: Guidance only – not a replacement for medical training
8. Testing and Evaluation
- Usability Testing: User groups simulate emergency
scenarios
- AR Accuracy: Ensure models align with detected real-world surfaces
- Response Time: Fast recognition and instruction delivery
- Compatibility: Cross-device testing for iOS and Android
9. Deployment and Maintenance
- App Stores: Android Play Store, iOS App Store
- Offline Mode: Downloadable modules for no-network scenarios
- Updates: Regular additions of new scenarios and content
- Feedback Loop: User rating and incident reporting system
10. Privacy and Emergency Integration
- No video stored unless user consents
- Location Sharing: Optional during emergencies
- Emergency Call: Single-tap SOS button
- Voice Detection: “Help” or “Call Emergency” triggers alert
11. Future Enhancements
- Smartwatch integration for vitals during CPR
- AI chatbot for triage and decision guidance
- Remote instructor monitoring
- AR glasses compatibility (e.g., Nreal, Magic Leap)
- Gamified training mode for educational use