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INTELLIGENT BLINKER Texas Instruments Analog Design Contest 2013

INTELLIGENT BLINKER Texas Instruments Analog Design Contest 2013. Pietro Buccella Camillo Stefanucci Denis Sallin Naser Khosro Pour Theodoros Kyriakidis Advising Professor: Maher Kayal University: École polytechnique fédérale de Lausanne Date: 05-11-2013. IDEA.

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INTELLIGENT BLINKER Texas Instruments Analog Design Contest 2013

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  1. INTELLIGENT BLINKERTexas InstrumentsAnalog Design Contest2013 Pietro Buccella Camillo Stefanucci Denis Sallin Naser Khosro Pour Theodoros Kyriakidis Advising Professor: Maher Kayal University: École polytechnique fédérale de Lausanne Date: 05-11-2013

  2. IDEA TURNING: SIGNALIZATION? CARBIKE Turn-on directionalindicatorsUse hand signalization Hand signals are unnoticed in the dark!! For bicycle safety, visibility is key!! DARK Right turn WEARABLE BRACELET IT BLINKS ACCORDING TO THE CYCLIST ARM-MOTION Leftturn

  3. BLOCKDIAGRAM POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm DEBUG INTERFACE: Sensors Calibration, Algorithm Debug USBLinear Li-Ion Battery Charger SOLAR CELL OUTPUT POWER Dynamic Maximum Power Point Tracking (MPPT)

  4. BLOCKDIAGRAM POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm DEBUG INTERFACE: Sensors Calibration, Algorithm Debug Sensor Raw Data Factored Quaternion Algorithm LED Driver

  5. BLOCKDIAGRAM POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm DEBUG INTERFACE: Sensors Calibration, Algorithm Debug • Real time sensor raw data analysis • Data memory for sensor data backup • Sensor Calibration

  6. CIRCUIT IMPLEMENTATION POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm DEBUG INTERFACE: Sensors Calibration, Algorithm Debug MEMS BQ24090 TPDS73001 Li-ion battery MSP430F5xx TCA6507 BQ25504 MEMORY

  7. RESULTS POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm SOLAR CELL OUTPUT POWER • 10% of direct sun condition PV provides 7.7 mW • BQ25504 with 80% efficiency6.1 mW • System total power consumption reaches to 5 mW • Autonomous operation even at 10% of direct sun illumination!! Arm up Arm left • When the arm is moving left or right the threshold for the yaw angle is reached turning on the LEDs • The up and down movement is indeed filtered out by the tilt-compensation algorithm LEDs off Arm right Arm right (rotatedwrist) LED on LED off LED on LED on

  8. ACKNOWLEDGEMENT • TI university program • ADVISING PROFESSOR: MAHER KAYAL • ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE EPFL Pietro Buccella Theodoros Kyriakidis Denis Sallin Camillo Stefanucci Naser KhosroPour

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