1. Midway Design Review Team 1: MirrAR
Team Members: Taehwan Chon, Jyerrmee Nerona, John Nguyen, Kevin Pierre
Advisor: Russell Tessier

2. MirrAR Team
Taehwan Chon
John Nguyen
Jyerrmee Nerona
Kevin Pierre

3. Problem Statement Limited space for inventory
Major transition to ecommerce and digital marketing
Desire for precise, real-time AR display

4. Facial Recognition Requirements and Specifications
App should provide 90 degrees of motion
Image display delay <1 second
3D Models should display correctly on users face
Competent scaling ability
Bluetooth communication between hardware and software for additional landmark/tracking
Operational range of <5 feet

5. Glasses Frames Requirements and Specifications
Provides accurate measurement of face
Will add additional landmark to detect facial angle
Safe, comfortable and easy to operate
Will be lightweight and balanced
Cheap to manufacture
Durable

6. Block Diagram

7. MDR Deliverables Android Application (David)
Facial recognition and tracking (David and John)
Demonstration of application communication
Android application displays image of glasses on MirrAR (David)
Hardware Design (Jyerrmee)
Circuit Design (Kevin)

8. Android Application and UI: Taehwan
Android Studio
Integrated Development Environment (IDE)
Android 6.0 Marshmallow
Software Development Kit (SDK) Tools:
Resources provided by Android Studio to enable specific development and features
ASUS Zenpad 3S 10

9. Communication Between Hardware and Software
HC-06 Wireless Bluetooth Module
BluetoothAdapter
Allows you to perform fundamental Bluetooth tasks
Camera
android.hardware.camera2

10. Facial Recognition Software: John
Utilizes OpenCV library package
CV library comes with classifiers that are trained to detect face
Able to detect features such as eyes, nose, face, mouth
Displays green rectangle around face once found

11. How Does Facial Feature Detection Work?
Determine if there is a face in image provided, by applying classifiers
Does this by checking values of pixels
Once face detected, individual features are analyzed
If no face, does not proceed further

12. Software Used
Software ran on Netbeans to test program with a use of camera
Uses package “gui” to simulate an interface
Panel for camera image display
Start button
Pause/Stop button

13. Pseudo Code Class detectFace{ -Activate device camera
-Detect face in live feed and store in memory
-Implement classifiers into code
-Once facial features detect, draw rectangle around face }

15. Hardware Design: Kevin Pierre
Attiny85
8 kb Flash memory program storage
20 MIPS at 20 MHz
Operating Voltage: V
HC-06 Bluetooth Module
Follows IEEE standardized protocol
Range: Less than 100m
Operating Voltage: 2.0V - 6V

16. Power Requirements Current Draw: Attiny85: 10mA HC-06: 15mA
If using an CR2032 battery, with 240mAh

17. Power Requirements

18. 3D Design: Jyerrmee Reference Frames V1 CAD Software: Fusion 360
3D printed (Plastic): Easy assembly
Fits majority of adult size heads
Comfortable adjustable ear hooks
Safe design: Eye hazards
Operation
Adjustable pieces are friction fit to its slots: Hold measurement
Alternative nose mount design

19. Initial Dimensions Head width compatibility = 144mm to 164mm
Avg human head breadth
= 148mm
Range of adult human
head breadth
= 140mm to 165mm
Most frames have temples that range in length from 120 to 150 mm
*For both male and female*

20. Weight Battery + Battery Holder: 15 grams PCB: 10.5 grams
3D Printed frames: 26.4 grams
Total Weight: ~51.9 grams
Typical sunglasses weigh up to 50 grams

21. Reference Frames V2 + PCB + Pots

22. Tablet Selection ASUS Zenpad 3S 10 Android 6.0 Marshmallow
9.7” 2K IPS Display (2048 X 1536)
Hexa-Core Processor
Dual Core ARM Cortex 2.1 GHz
Quad Core ARM Cortex 1.7 GHZ, 64 bit MediaTek Processor
Webcam Resolution
Rear Cam: 8MP
Front Cam: 5MP

23. Proposed CDR Deliverables
Bluetooth communication (David & Kevin)
Complete Design (Jyerrmee & Kevin)
Custom PCB (Kevin)
All potentiometers (Jyerrmee)
Safe & Comfortable housing (Jyerrmee)
3D Models (David)
Additional landmarking/tracking (John)

24. Gantt Chart

25. Demo
Demo

26. Thank You
Questions