# Title Team Members TA Documents Sponsor
17 Sensory Awareness Device for Bars and Restaurants
Carl Wolff
Evan Lindquist
Megan Heinhold
Amr Ghoname design_document3.pdf
# Sensory Awareness Device for Bars and Restaurants

Team Members:
- Megan Heinhold (meganjh3)
- Evan Lindquist (evanl3)
- Carl Wolff (cwolff2)

# Problem

There are many people who suffer from conditions that affect their ability to operate in certain environments such as ADD, epilepsy, and sensory processing disorder. Those affected by these conditions often look to avoid certain triggers such as loud noises, flashing lights, and crowded areas. Beyond common sense predictions, there isn’t a reliable way of gauging how many of these triggers will be present at a bar or restaurant.

# Solution

Describe your design at a high-level, how it solves the problem, and introduce the subsystems of your project.
Our solution to this issue is a small device that can be purchased by a bar or restaurant to gauge its sensory attributes. The device will require a one time set up and then can be left to passively acquire real-time data on light and sound levels within the establishment. The device will regularly upload this information to an app so that any individual can monitor possible triggers and general ambiance of a location prior to going inside. This will allow individuals to find optimal environments for them based on preferences for ambient noise and light levels.

The only comparable service we could find is Google’s “Popular Times” function which shows the predicted crowd levels for establishments throughout the day. Our device improves on this by providing live data distributed into different categories as well as the aforementioned “crowdedness level”.

# Solution Components

## Subsystem 1 - Power

Our device will receive its power from a wall outlet. Due to the safety concerns of working with high voltage, we would like additional guidance from a mentor TA on how to properly go about this. Our current plan is to use a commercial adapter that steps down the voltage from 120V to ~5V for usage with our other hardware subsystems.

## Subsystem 2 - Sensor Block

This subsystem will contain all of the sensors used to acquire data about the environment. It will consist of photoresistors that will be able to report data on the ambient light level as well as the presence of any lighting effects (such as strobe lights); microphones to detect the overall sound level (combination of human noise, music, and assorted background noises); and temperature sensors to report the ambient temperature.

## Subsystem 3 - Microcontroller

This subsystem will regularly poll the sensors within the sensor block to capture data about the environment. It will handle safety matters (strobe lights and excessive noise) in pseudo-real time by analyzing the data from the sensor block to detect flashing lights and/or noise above a certain decibel threshold. If it detects any safety hazards, it will immediately output a hazard signal. The device will also track the running average of sensor readings that are not safety related. It will output these averages at a reduced frequency (say once every ten minutes). The MCU will send the averages and hazard signals to the Wifi module so that they can be sent to the app.

## Subsystem 4 - Wifi Module

This subsystem will allow our device to transmit the data it collects to our app via Wifi.

## Subsystem 5 - App

The app will allow users to view the current ambient levels of a specific bar, as well as any safety alerts that have been recorded in the past few days. For the purposes of this course, we will focus on a web application.

### App Backend

The app backend will need to communicate directly with our devices, receiving the transmitted data and storing any data we wish to keep for historical purposes.

### App Frontend

The app frontend will serve two different personas: that of the bar/restaurant and that of the business patron. Each of these users will be able to login and update their establishment’s general information and view real time data of their choice, respectively.

# Criterion For Success

The device should require an initial set-up and then be almost entirely maintenance free.
Identify medical safety hazards, specifically strobing lights and sound levels over a safe threshold; report these hazards immediately.
Average compiled sensor data to determine ambient light, sound, and temperature levels over 10 minute time intervals.
Transmit this data to an app, and have it displayed in an easily accessible format.

Filtered Back – Projection Optical Demonstration

Tori Fujinami, Xingchen Hong, Jacob Ramsey

Filtered Back – Projection Optical Demonstration

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Project Description

Computed Tomography, often referred to as CT or CAT scans, is a modern technology used for medical imaging. While many people know of this technology, not many people understand how it works. The concepts behind CT scans are theoretical and often hard to visualize. Professor Carney has indicated that a small-scale device for demonstrational purposes will help students gain a more concrete understanding of the technical components behind this device. Using light rather than x-rays, we will design and build a simplified CT device for use as an educational tool.

Design Methodology

We will build a device with three components: a light source, a screen, and a stand to hold the object. After placing an object on the stand and starting the scan, the device will record three projections by rotating either the camera and screen or object. Using the three projections in tandem with an algorithm developed with a graduate student, our device will create a 3D reconstruction of the object.


• Motors to rotate camera and screen or object

• Grid of photo sensors built into screen

• Light source

• Power source for each of these components

• Control system for timing between movement, light on, and sensor readings