Project

# Title Team Members TA Documents Sponsor
13 Intelligent Home Security System
Danyu Sun
Ge Shao
Jiaxuan Zhang
Yuxin Xie
design_document1.pdf
proposal1.pdf
Bruce Xinbo Yu
# People
-Danyu Sun(danyu3)
-Ge Shao (geshao2)
-Jiaxuan Zhang (jz122)
-Yuxin Xie (yuxinx7)

# Problem
Our goal is to monitor the activities of the elderly in real time and recognize if a fall accident occurs. Currently, many elderly people find it difficult to be recognized and get help in time after a fall, leading to serious consequences. Through intelligent recognition and tracking, we can send out an alert at the first time when a fall occurs to ensure the safety of the elderly.

# Solution Overview
Our solution is to design an intelligent home security system that can monitor the area around home. Firstly, we will build a trackable mobile robot carrying cameras and sensors. And the data collected will be transmitted to a central control unit. Secondly, we will design an algorithm to process the data and detect fall accidents. Once abnormal behavior is detected, the system will immediately trigger an alarm.

# Solution Components
## Human Tracking Robot Subsystem
- Camera that is used to collect video data
- Wheels that help robot move in the area
- Infrared sensor that can detect human moving for the tracking function and avoid the robot hitting the wall
- Joint that is connected foundation with camera and can make camera rotate

## Central Control Unit
- Human detection system to verify whether someone is present
- Human action detection system that can detect a fall

## Alert Subsystem
- Speaker that can play alert sounds
- LED light that can give out warning light

# Criterion for Success
- Robot can track moving people, avoid itself hitting walls, and ensure the camera can be rotated.
- The system must confirm human presence before performing any action recognition.
- The accuracy of human fall detection is more than 80%.
- If detect the human fall, LED light will give out light and speaker will play sounds.


# Distribution of Work
-Danyu Sun: Human detection system used to check whether people are in present
-Ge Shao: Human action detection system that can recognize falling behavior when someone falls
-Jiaxuan Zhang: A light and sound alert system that can be triggered when a fall is detected
-Yuxin Xie: A human tracking robot system that can track moving people and avoid hitting walls

Intelligent Texas Hold 'Em Robot

Xuming Chen, Jingshu Li, Yiwei Wang, Tong Xu

Featured Project

## Problem

Due to the severe pandemic of COVID-19, people around the world have to keep a safe social distance and to avoid big parties. As one of famous Poker games in the western world, the Texas Hold’em is also influenced by the pandemic and tends to turn to online game platform, which, unfortunately, brings much less real excites and fun to its players. We hope to develop a product to assist Poker players to get rid of the limit of time and space, trying to let them enjoy card games just as before the pandemic.

## Solution Overview

Our solution is to develop an Intelligent Texas Hold’em robot, which can make decisions in real Texas poker games. The robot is expected to play as an independent real player and make decisions in game. It means the robot should be capable of getting the information of public cards and hole cards and making the best possible decisions for betting to get as many chips as possible.

## Solution Components

-A Decision Model Based on Multilayer Neural Network

-A Texas Hold'em simulation model which based on traditional probabilistic models used for generating training data which are used for training the decision model

-A module of computer vision enabling game AI to recognize different faces and suits of cards and to identify the game situation on the table.

-A manipulation robot hand which is able to pick, hold and rotate cards.

-Several Cameras helping to movement of robot hand and the location of cards.

## Criterion for Success

- Training a decision model for betting using deep learning techniques (mainly reinforcement learning).

- Using cv technology to transform the information of public cards and hole cards and the chips of other players to valid input to the decision-making model.

- Using speech recognition technology to recognize other players’ actions for betting as valid input to the decision model.

Using the PTZ to realize the movement of the cameras which are used to capture the information of pokers and chips.

- Finish the mechanical design of an interactive robot, which includes actions like draw cards, move cards to camera, move chips and so on. Utilize MCU to control the robot.

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