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

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

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

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

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)

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)

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

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 17044 Battery Monitor and I2C bus Raspberry Pi and router Setup

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

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

Questions?