AI Powered Real Time Scene Description Workflow for Accessibility

Real-time Scene Description Generation

Objective

To develop an efficient workflow for generating real-time scene descriptions using AI audio tools, enhancing accessibility services for the visually impaired.

Workflow Steps

1. Scene Capture

The process begins with capturing live video footage of the environment.

• Tools: Smartphones with high-resolution cameras, wearable cameras (e.g., Google Glass).

2. Image Processing

Utilize AI algorithms to analyze the captured video frames for key elements.

• AI Techniques: Computer vision techniques such as object detection and segmentation.
• Example Tools: OpenCV, TensorFlow, and YOLO (You Only Look Once) for real-time object detection.

3. Scene Understanding

Process the identified objects and their relationships to understand the context of the scene.

• AI Techniques: Natural Language Processing (NLP) to generate coherent descriptions.
• Example Tools: GPT-3 or similar language models for generating descriptive text.

4. Audio Description Generation

Convert the textual descriptions into audio format for accessibility.

• AI Techniques: Text-to-Speech (TTS) synthesis.
• Example Tools: Google Text-to-Speech, Amazon Polly, or Microsoft Azure Speech Service.

5. Real-time Delivery

Stream the audio descriptions to users in real-time through accessible devices.

• Tools: Mobile applications or wearable devices equipped with audio output capabilities.

6. User Feedback Loop

Collect user feedback to refine and improve the scene description generation process.

• Methods: Surveys, user interviews, and usage analytics.

Implementation Considerations

• Ensure the system is user-friendly and intuitive for visually impaired users.
• Focus on minimizing latency in audio delivery for seamless user experience.
• Regularly update the AI models to improve accuracy and relevance of scene descriptions.

Conclusion

This workflow leverages advanced AI technologies to create a robust system for generating real-time scene descriptions, significantly enhancing accessibility for visually impaired individuals.