Project

# Title Team Members TA Documents Sponsor
29 Automated Mask Enforcement
 Faruk Toy
Kalpit Fulwariya
Teja Gupta
 Ali Kourani design_document1.pdf
design_document2.pdf
design_document3.pdf
final_paper1.pdf
final_paper2.docx
other1.pdf
other2.pdf
proposal1.pdf
#Problem-

During COVID-19 times, mask wearing is an important issue. Many stores have adopted a mask-only policy and President Biden recently required masks to be worn in all federal buildings. However, such policies usually require the assignment of an individual to manually check people to ensure if they are (correctly) wearing masks. This poses the problem of additional cost of personnel and all additional risks related to being in close proximity to multiple individuals (including non-compliant ones) over the day.

Solution Overview- We propose a system in which users are screened using a camera to see whether or not they are wearing a mask. If they are wearing a mask the system will unlock the door to the building and allow them in. Otherwise, the door will remain locked and they will not be able to enter the building. In the case that they fail to gain access at first, a quick instructional video about correct mask wearing will play on the LED display with sound as needed to help the individual. As soon as the person correctly wears the mask and gets scanned by the system (even if the instructional video is still playing), the person can be granted access to the building.

#Solution Components-

**Component #1 (Power Subsystem)**-

This is responsible for powering the other three modules in our system. We will be using some sort of battery pack for this module with wires leading to the other components.

**Component #2 (Camera Subsystem)-**

This is responsible for looking at the faces of each of potential entrants to the building and checking if they are wearing a mask. This will most likely involve some sort of camera attached to a Raspberry Pi in order to process the video footage in real-time.

**Component #3 (Locking Mechanism Subsystem)-**

To create this, we will need to create some sort of motor in combination with a door lock in order to lock and unlock the door depending on whether or not a person is wearing a mask. This subsystem will take input from the camera subsystem presented above.

**Component #4 (User Interaction Subsystem)-**

The subsystem consists of an LED display and a speaker. The LED display can be used to help the user frame themselves for the camera and receive other instructions related to wearing the mask appropriately (ex: play a short instructional video about the correct way to wear a mask if the user could not enter the building due to a failed previous attempt). The speaker will be used to aid the LED display if playing a video with audio.

#Criteria for Success-

For the power subsystem, we would need it to be able to power all three other subsystems simultaneously without needing to be replaced too quickly. Camera Subsystem needs to be able to interface with the Raspberry Pi and lead to the correct classification of mask or no mask. It also needs to be able to accurately identify whether or not there is a person in front of it. It would perform these tasks in real-time. We would not want this subsystem to record footage, use facial recognition or anything else too invasive. For the locking mechanism, we would like it to idealistically be able to lock and unlock on cue from the camera subsystem. For the User Interaction Subsystem, we would like to be able to play a quick instructional video about making while not blocking the Camera Subsystem from running (do not want the user to have to wait for the video to end before being able to scan again).

Recovery-Monitoring Knee Brace

Dong Hyun Lee, Jong Yoon Lee, Dennis Ryu

Featured Project

Problem:

Thanks to modern technology, it is easy to encounter a wide variety of wearable fitness devices such as Fitbit and Apple Watch in the market. Such devices are designed for average consumers who wish to track their lifestyle by counting steps or measuring heartbeats. However, it is rare to find a product for the actual patients who require both the real-time monitoring of a wearable device and the hard protection of a brace.

Personally, one of our teammates ruptured his front knee ACL and received reconstruction surgery a few years ago. After ACL surgery, it is common to wear a knee brace for about two to three months for protection from outside impacts, fast recovery, and restriction of movement. For a patient who is situated in rehabilitation after surgery, knee protection is an imperative recovery stage, but is often overlooked. One cannot deny that such a brace is also cumbersome to put on in the first place.

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Solution:

Our group aims to make a wearable device for people who require a knee brace by adding a health monitoring system onto an existing knee brace. The fundamental purpose is to protect the knee, but by adding a monitoring system we want to provide data and a platform for both doctor and patients so they can easily check the current status/progress of the injury.

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Audience:

1) Average person with leg problems

2) Athletes with leg injuries

3) Elderly people with discomforts

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Equipment:

Temperature sensors : perhaps in the form of electrodes, they will be used to measure the temperature of the swelling of the knee, which will indicate if recovery is going smoothly.

Pressure sensors : they will be calibrated such that a certain threshold of force must be applied by the brace to the leg. A snug fit is required for the brace to fulfill its job.

EMG circuit : we plan on constructing an EMG circuit based on op-amps, resistors, and capacitors. This will be the circuit that is intended for doctors, as it will detect muscle movement.

Development board: our main board will transmit the data from each of the sensors to a mobile interface via. Bluetooth. The user will be notified when the pressure sensors are not tight enough. For our purposes, the battery on the development will suffice, and we will not need additional dry cells.

The data will be transmitted to a mobile system, where it would also remind the user to wear the brace if taken off. To make sure the brace has a secure enough fit, pressure sensors will be calibrated to determine accordingly. We want to emphasize the hardware circuits that will be supplemented onto the leg brace.

We want to emphasize on the hardware circuit portion this brace contains. We have tested the temperature and pressure resistors on a breadboard by soldering them to resistors, and confirmed they work as intended by checking with a multimeter.

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