Project

# Title Team Members TA Documents Sponsor
22 Fingerprint Recognition Door Lock
Chengrui Wu
Hanggang Zhu
Haoran Yuan
Lizhuang Zheng
design_document1.pdf
final_paper3.pdf
proposal1.pdf
Meng Zhang
# Team Members

Chengrui Wu (cw70)
Hanggang Zhu (hz66)
Haoran Yuan (haorany7)
Lizhuang Zheng (lzheng17)

# Project Title

Fingerprint Recognition Door Lock

# Problem

In our Residential College dormitories, each room door requires a student IC card to unlock. However, sometimes students may forget to bring their own card with them when they are out. The current solution is to apply for a temporary card, so a fingerprint recognition door lock can be a better solution. Currently, most fingerprint recognition door locks are integrated units. To install a new one, users must remove the entire old lock, typically requiring professional assistance. But updating all the locks in the Residential College is a huge project, and may affect students’ daily life. Thus, we propose a more user-friendly solution that allows users to integrate advanced fingerprint recognition technology with their current locks, without the needs of extensive installation processes, so that students can install the device by themselves.

# Solution Overview

We aim to create a smart, compact device that can be added to existing locks, enabling fingerprint-based unlocking. So that students can install the device easily by themselves. This device will feature a fingerprint recognition module, a control unit, mechanisms for lock interaction, a mobile app for management and GPS integration, and a wireless communication module. Besides, a security module and a power supply module are needed to support other subsystems.

# Solution Components

## Capacitive Fingerprint Sensor Module

This module will feature a state-of-the-art capacitive fingerprint sensor, known for its high sensitivity and accuracy in capturing detailed fingerprint images. It is designed to efficiently transmit high-resolution fingerprint image data to the Fingerprint Recognition Subsystem. The sensor's advanced technology allows it to quickly and accurately read a fingerprint, even under varying environmental conditions. Its compact size and low power consumption make it an ideal choice for integration into the smart door lock system. The sensor will be interfaced with the STM32 development board, ensuring seamless communication and data transfer between the sensor and the Fingerprint Recognition Subsystem.

## Fingerprint Recognition Subsystem

This will be a high-precision module with algorithms capable of accurately identifying the user's unique fingerprint patterns. It will also be able to store multiple fingerprints the user registered, for shared use among the user and other authorized individuals. The code implementation will be written into STM32 develop board to output True/False signal to the downstream controller subsystem.

## Controller Subsystem

This will be a microcontroller that manages the operations of the device, including processing fingerprint data, controlling lock mechanisms, and coordinating with the mobile app and a wireless communication module designed to retrieve messages from the app. We may choose a STM32 develop board with Wi-Fi module as the platform.

## Software UI

A mobile app for fingerprint recording and remote lock control. It will allow users to manage their fingerprints, remotely control the lock, and adjust settings such as auto-lock and unlock. It will also provide notifications about lock status and usage.

## Wireless Communication Module

An ESP8266 microchip for Wi-Fi connectivity with secure protocols, and a GPS module for location tracking. The microchip will provide the device with Wi-Fi connectivity to communicate with the mobile app, receive updates, and enable remote access and control. The module will also use secure protocols to ensure data privacy and security. Based on the GPS location of the users’ mobile phone, it will allow the lock to unlock automatically when the user's phone is nearby, and lock automatically when it is too far away,

## Security Module

The security module ensures secure wireless communications and app usage, prevents unauthorized access, and verifies user identity. It uses advanced encryption for data transmission and includes mechanisms for detecting and reporting security breaches.

## Mechanical Engine

An actuator to engage/disengage the existing lock mechanism. These will be designed to be compatible with the dorm lock design and will physically engage and disengage the lock mechanism in response to input from the control unit.

## Power Supply Subsystem

This system will include a battery and other components used to power up all the subsystems above, it should be able to last for a significant period.

# Criterion for Success

- Efficient and accurate fingerprint-based unlocking.
- Remote access and control of the lock's status through the app, ensuring exclusive user access.
- Ease of installation and removal from the existing lock, with robust security.
- Lock the door from inside, when the person is left

# Distribution of Work

- Chengrui Wu: Microcontroller and Software App
- Hanggang Zhu: Software App, Fingerprint Recognition and Security Module
- Haoran Yuan: Wireless Communication and Fingerprint Recognition, Chip and sensor selection.
- Lizhuang Zheng: Mechanical Engine, Microcontroller and Power Supply Subsystem

Remote Robot Car Control System with RGBD Camera for 3D Reconstruction

Hao Chen, Yuhao Ge, Junyan Li, Han Yang

Featured Project

## Team Members

- [Yuhao Ge], [yuhaoge2],

- [Hao Chen], [haoc8],

- [Junyan Li], [junyanl3],

- [Han Yang], [hany6].

## Project Title

Remote Robot Car Control System with RGBD Camera for 3D Reconstruction

## Problem

We aim to build a user-friendly control system for assisting users to remotely control a robot car equipped with an RGBD camera in complex indoor environments. The car should be able to build the environment based on the point cloud scanned by the camera, and the remote computer will reconstruct the point cloud to gain the map of the environment.

## Solution Overview

Our solution consists of a Robot Car Subsystem, Camera Subsystem, Remote Control Subsystem, and Human-Robot Interaction Interface. The Robot Car Subsystem includes a robot car and a rotating base for the RGBD camera. The Camera Subsystem captures RGBD images of the surrounding environment and performs real-time 3D reconstruction. The Remote Control Subsystem allows users to control the robot car remotely via a joystick. The Human-Robot Interaction Interface provides a third-person perspective view of the reconstructed environment and allows users to interact with the robot car in real-time.

## Solution Components

- Robot Car Subsystem: Includes a robot car and a rotating base for the RGBD camera.

- Camera Subsystem: Captures RGBD images of the surrounding environment and performs real-time 3D reconstruction using image signal processing software.

- Remote Control Subsystem: Allows users to control the robot car remotely via a joystick.

- Human-Robot Interaction Interface: Provides a third-person perspective view of the reconstructed environment and allows users to interact with the robot car in real-time.

## Criterion for Success

- The remote robot car control system can navigate and avoid obstacles in complex indoor environments.

- The Camera Subsystem can perform real-time 3D reconstruction with high accuracy and reliability.

- The Remote Control Subsystem provides a smooth and responsive control experience for the user.

- The Human-Robot Interaction Interface provides an intuitive and user-friendly way for users to interact with the robot car and view the reconstructed environment.

## Distribution of Work

- Han Yang (EE): Camera Subsystem design and implementation

- Hao Chen (ECE): Remote Control Subsystem design and implementation

- Junyan Li (ECE): Human-Robot Interaction Interface design and implementation

- Yuhao GE (ECE): Robot Car Subsystem design and implementation

## Justification of Complexity

We believe that our team has the necessary skills and knowledge to handle the mechanical and electrical complexity of our project.

Specifically, Han Yang has experience in image signal processing and Hao Chen has experience in remote control systems. Junyan Li has experience in human-robot interaction design, and Yuhao Ge has experience in robotics and mechanical design. Additionally, we plan to use readily available off-the-shelf components and design our system in a modular and scalable way to minimize the complexity and facilitate the development process.