Project

# Title Team Members TA Documents Sponsor
38 Aggressive chasing car
 Hai Chi
Zhe Ji
 design_document0.pdf
final_paper0.document
presentation0.ppt
proposal0.pdf
Description:
We are planning to build two toy cars. One is remotely controlled by us and the other chasing car will have the ability to detect the position, speed and direction of the

former car, and automatically calculate the shortest path to chase it.
The chasing car will be controlled by a microcontroller with algorithm implemented by us. It collects information from the sensors we talked above. The algorithm will decide

the optimal solution to chase the running car.
We are adding some obstacles along the way. As long as the chasing car cannot detect the running car (either out of range or blocked by obstacles), we enable the camera

hanging on the ceiling (like a satellite or helicopter) and help the chasing car to locate the running car.
Implementation details:
1. None of us have the knowledge of navigational algorithm. But its almost a solved problem. We have done some research. Many seem work well. It is to find the chased car's

trajectory through some points that could form a connected polygonal and try control the chasing car to encounter the chased car. And we will continue do research for better

algorithm.

2. We now are thinking to use some proximity sensors to detect the 180degree angle in front of the chasing car.

3. For the ceiling camera, we use image processing to locate the car. We are thinking to paint the chased car into one simple color so that it is easier to be located.

Electronic Replacement for COVID-19 Building Monitors @ UIUC

Patrick McBrayer, Zewen Rao, Yijie Zhang

Featured Project

Team Members: Patrick McBrayer, Yijie Zhang, Zewen Rao

Problem Statement:

Students who volunteer to monitor buildings at UIUC are at increased risk of contracting COVID-19 itself, and passing it on to others before they are aware of the infection. Due to this, I propose a project that would create a technological solution to this issue using physical 2-factor authentication through the “airlock” style doorways we have at ECEB and across campus.

Solution Overview:

As we do not have access to the backend of the Safer Illinois application, or the ability to use campus buildings as a workspace for our project, we will be designing a proof of concept 2FA system for UIUC building access. Our solution would be composed of two main subsystems, one that allows initial entry into the “airlock” portion of the building using a scannable QR code, and the other that detects the number of people that entered the space, to determine whether or not the user will be granted access to the interior of the building.

Solution Components:

Subsystem #1: Initial Detection of Building Access

- QR/barcode scanner capable of reading the code presented by the user, that tells the system whether that person has been granted or denied building access. (An example of this type of sensor: (https://www.amazon.com/Barcode-Reading-Scanner-Electronic-Connector/dp/B082B8SVB2/ref=sr_1_11?dchild=1&keywords=gm65+scanner&qid=1595651995&sr=8-11)

- QR code generator using C++/Python to support the QR code scanner.

- Microcontroller to receive the information from the QR code reader and decode the information, then decide whether to unlock the door, or keep it shut. (The microcontroller would also need an internal timer, as we plan on encoding a lifespan into the QR code, therefore making them unusable after 4 days).

- LED Light to indicate to the user whether or not access was granted.

- Electronic locking mechanism to open both sets of doors.

Subsystem #2: Airlock Authentication of a Single User

- 2 aligned sensors ( one tx and other is rx) on the bottom of the door that counts the number of people crossing a certain line. (possibly considering two sets of these, so the person could not jump over, or move under the sensors. Most likely having the second set around the middle of the door frame.

- Microcontroller to decode the information provided by the door sensors, and then determine the number of people who have entered the space. Based on this information we can either grant or deny access to the interior building.

- LED Light to indicate to the user if they have been granted access.

- Possibly a speaker at this stage as well, to tell the user the reason they have not been granted access, and letting them know the

incident has been reported if they attempted to let someone into the building.

Criterion of Success:

- Our system generates valid QR codes that can be read by our scanner, and the data encoded such as lifespan of the code and building access is transmitted to the microcontroller.

- Our 2FA detection of multiple entries into the space works across a wide range of users. This includes users bound to wheelchairs, and a wide range of heights and body sizes.