Sign Language Recognition System Flowchart
This flowchart outlines how a sign language recognition system captures gestures, classifies them with a trained model, and outputs translated text or speech. It's useful for documenting accessibility technology projects. Tip: include a confidence-threshold decision point to show how the system handles uncertain predictions.
The prompt behind this diagram
Create a flowchart for a sign language recognition system. Include steps: Capture Video Input from Camera, Extract Hand and Body Landmarks, Preprocess and Normalize Frames, Feed Frames into Trained Gesture Recognition Model, Classify Sign Gesture, decision checking confidence score threshold, a path for low confidence prompting the user to repeat the gesture, a path for high confidence converting the recognized sign to text, Display Translated Text on Screen, and optionally Convert Text to Speech Output.
Paste your own description (or Terraform / docker-compose / SQL schema) into draft1 and get a diagram like this for your exact system.
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