Resources

If you're reading this, you've obviously already found the ECE445 web site. It is extremely important that you familiarize yourself with the website as soon as possible, since all major semester milestones are organized using PACE. Documents are uploaded to your Project Page for grading, meetings are scheduled, and parts are requested. In addition, we use PACE as our general discussion board for the semester and Compass2g to manage grades.

Below is a list of important links you'll use all semester:

Other Useful Links

UIUC

Signal Processing

Sensors

GPS

General

Companies

Seat U: Sensing System for Real-time Library Seat Occupation Detection

Jiayuan Huang, Hangzheng Lin, Jiaqi Lou, Hanyin Shao

Featured Project

# Problem

During the exam week, it is very difficult to find a seat in the library. Sometimes students cannot find a satisfying seat even if they walk through the library all around. Some students complain about unknown traffic in the library. For more convenient library seats seeking, students would like to know which other seats are empty ahead of time in order to decide whether they will go to the library and where to find available seats.

# Solution Overview

We will design a sensor-based device for each table to detect occupancy. The occupancy data will be uploaded through wifi to the cloud. There will be three states for each seat: occupied by people, occupied by items, or unoccupied. Then we will design an APP to visualize these data.

# Components

## The sensing subsystem:

• Data preprocessing and WiFi module to transfer data (ESP32)

• Multi-kinds of sensors to detect objects and collect data

• Wired power supply to support long-term real-time detection

## Human-computer interaction subsystem:

• Database server to store the collected data

• APP on the phone that allows clients to check the status of library seats

• It can indicate whether the seat is occupied with people (reserved by personal items), occupied without people, or available

# Criteria of Success

• Classify three different states of seats (occupied by people, occupied by items, or unoccupied)

• The accuracy of detecting whether a seat is reserved by items is above 90%

• The accuracy of detecting whether a seat is occupied by people is above 95%

• The sensor-based device APP is user-friendly and accurately visualizes the seat occupation

• The states of the seats get updated every 1 minute in the APP

• Adaptive to different kinds of table in the library (flexibility)

• Implement the database server bidirectionally: upload data from the device and download data to the APP