Intelligent blinker

Report
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
TURNING: SIGNALIZATION?
CAR
Turn-on directional indicators
BIKE
Use hand signalization
Hand signals are unnoticed in the dark!!
For bicycle safety, visibility is key!!
Right turn
DARK
WEARABLE BRACELET
IT BLINKS
ACCORDING
TO
Left
turn
THE CYCLIST ARM-MOTION
BLOCK DIAGRAM
POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power
MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm
DEBUG INTERFACE: Sensors Calibration, Algorithm Debug
USB Linear Li-Ion Battery Charger
SOLAR CELL OUTPUT POWER
Dynamic Maximum Power Point Tracking
(MPPT)
BLOCK DIAGRAM
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
BLOCK DIAGRAM
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
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
Li-ion
battery
TPDS73001
MSP430F5xx
BQ25504
MEMORY
TCA6507
RESULTS
POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power
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!!
MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm
Arm up
 When the arm is moving left or right the threshold
for the yaw angle is reached turning on the LEDs
Arm right
Arm left
Arm right
(rotated wrist)
 The up and down movement is indeed filtered out
by the tilt-compensation algorithm  LEDs off
LED on LED off LED on
LED on
ACKNOWLEDGEMENT
• TI university program
• ADVISING PROFESSOR: MAHER KAYAL
• ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE EPFL
Pietro
Buccella
Theodoros
Kyriakidis
Camillo
Stefanucci
Denis
Sallin
Naser
Khosro Pour

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