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Eye Pattern Detection System for Monitoring Eye Closure Duration

The Eye Pattern Detection project by Group H utilizes Eye_SIG to detect eye closure and determine the duration of eye closure using EyeFRM and SIG_CTRL. The system functions by analyzing camera frames to track eye movements and states. The integrated design aims to enhance eye monitoring capabilities with efficiency.

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Eye Pattern Detection System for Monitoring Eye Closure Duration

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  1. Project Head Case(Eye Pattern Detection) Designed by Group H Dan Klowden, Jon Burns Presented by Rebekah Henkel, Anita Phillips, and Anh Ton

  2. TOP SCHEMATIC

  3. Eye_SIG Contains: EYEFRM SIG_CTRL

  4. EYEFRM Functional: determines whether or not the eye is closed.

  5. SIG_CTRL EYECLOSED Functional: determines if the eye has been closed for 2 sec. Includes 5 states: Counting, EyeCWait, DoneCnt, ACKwait, and FRMwait

  6. SIG_CTRL (Cont.) Counting CameraFrame Asserted and Count < 40 Compare With CALIB and Return CameraFrames = 40 EyeCWait Less Than 38 / 40 EyeClosed Signals Asserted DoneCnt ACK Signal From 8051 CameraFrame Asserted CameraFrame Asserted At least 38 / 40 EyeClosed Signals Asserted ACKwait ACK Signal From 8051 & CameraFrame Not Asserted FRMwait

  7. Suggestion - Add extra pins to choose which control states to switch to. (cyclic order for now) | | | time 2sec - After eye is closed for 2 sec, require that the eye to open before starting counting again.

  8. Questions?

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