1. <Add team picture or relevant project picture here>
ECE 477 FINAL REVIEW: TEAM 16
Zhaoyang Han
Xinjie Lei
Shuang Zhai
Jinyi Zhang

2. OUTLINE Project Overview Block Diagram Design Challenges
Individual Contributions
Project Demonstration
Questions

3. PROJECT OVERVIEW
Intelligent Eye is a prototype of a smart vehicle. It has the following features:
Human detection
Stereo vision
Autonomous navigation

4. BLOCK DIAGRAM Camera Module 15 CSI Raspberry Pi Compute Module
Computer
Bluetooth
Module
HC06
WIFI
Bluetooth
Camera Module
CSI 15
UART 2
Battery Monitor
I2C
Microcontroller
dsPIC33EP32MC204 3
Shift Register
74HC595D 6
PWM
DC Motors
H-bridge group
TLE5206-2
SPI 12 8
LED ARRAY 6
GPIO

5. DESIGN CHALLENGES Cameras calibration
Low accuracy of HOG human detection
Microcontroller initializations and peripheral programmings
PCB layout design (6 H-Bridges, large current, microcontroller pins configuration)

6. INDIVIDUAL CONTRIBUTIONS
Xinjie Lei
Electronic Component Selection(with Shuang)
Electrical Component Purchasing
PCB library setup
PCB schematic design
PCB layout design
PCB verification
Help with PCB soldering(with Zhaoyang, Shuang)
Final cardboard package design(with Zhaoyang)

7. INDIVIDUAL CONTRIBUTIONS
Zhaoyang Han
Video streaming from the Raspberry Pi to PC
Manage resources on the microcontroller
DsPIC33E microcontroller coding, including:
initializations, PWM, UART, SPI,
Timer, I2C (with Shuang)
PCB soldering (with Shuang and Xinjie)
Hard paper board packaging (with Xinjie)
Video

8. INDIVIDUAL CONTRIBUTIONS
Shuang Zhai
Constructed stereo vision system based on existing package
Investigated how block matching parameters affect depth map and point cloud
Major Components selection
Soldered two PCBs(With the help from Zhaoyang and Xinjie)
Investigated MAX Battery Monitor and I2C bus
Raspberry Pi and router Setup

9. INDIVIDUAL CONTRIBUTIONS
Jinyi Zhang
Project software overall design
GUI and multi-threading video display
Video stream, image capture and transmit through Wi-Fi
Investigated the openCV HOG implementation and chose the best parameters based on precision and computational time
Algorithms to reduce wrong or overlapped detection
Autonomous navigation based on the degree and distance
Prototype and mechanical parts

10. PROJECT DEMONSTRATION
PSSC #1: An ability to transmit camera images to computer via WIFI and to display images on GUI
PSSC #2: An ability to recognize human beings on images and construct depth map
PSSC #3: An ability to communicate between microcontroller and PC through bluetooth via UART
PSSC #4: An ability to navigate according to paths generated from depth map in auto-mode
PSSC #5: An ability to monitor the battery and show the remaining power using LED array
Video

11. Questions?