
Proposal Ideas
Smart Stop Sign: The smart stop sign will help to solve the ever-troublesome problem of who goes first at a 4-way stop. As vehicles arrive at an intersection equipped with the Smart Stop Sign system, they are sensed by Lidar sensors connected to the central microcontroller.
Vehicles arriving at the stop first will be added to a queue, the vehicles will then be signaled when to proceed using a series of red/green LED strips to indicate to the driver. The system will be powered off a solar panel with battery backup for night-time and low light conditions.
If a vehicle is approaching the intersection and appears as if it will run the stop sign the LED strip will flash on that stop sign alerting the driver, at the same time all other stop sign LEDs will remain red to prevent a traffic accident should the vehicle proceed through the intersection without stopping.
The Smart Stop Sign also allows for pedestrians to request a crossing, when the button is pressed the pedestrian will be added to the queue. When the pedestrians turn to cross the intersection arrives all stop signs will remain red to prevent cross traffic endangering the pedestrian.
The device will be made as an alternative to a hearing aid where it will give a live closed captioning of what the individual is failing to hear.
The processing will use a microcontoller as the sounds from the environment will be taken with a mic it will process and filter the speech be to be converted to text.
As the speech is processed to text, a small mirror will reflect the captions from a display onto a lens that will then meet a reflector to be seen on the lens on the glasses.
The overall design will be in the style of a google glass where the main components will be housed in 3-D printed material on one of the glasses' temples.
AV2X Capable Crosswalk: A V2X crosswalk would work to prevent pedestrian fatalities and improve the ability for autonomous or V2X capable vehicles to navigate mixed and pedestrian traffic.
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The V2X crosswalk will consist of three lidar and 3 cameras providing input to a microcontroller. Two lidar will be used to determine the velocity of oncoming vehicles and determine the amount of time it will take them to reach the crosswalk. The camera will be used to provide object recognition in conjunction with the lidar system.
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The crosswalk will have the ability to communicate with V2X capable vehicles, in the event that a vehicle is approaching the crosswalk and pedestrians are crossing a signal will be sent to the vehicle via RF signal generator. The crosswalk will also consist of a series of warning lights for pedestrians to know when vehicles are approaching along with push buttons to request a crossing.
The Smart Symptom Detector will be a standalone device that can be placed at businesses or other public facilities to check for symptoms of
Covid-19.
The device will utilize an IR thermometer in conjunction with a camera to check for symptoms of the virus. Users will also be asked to answer a series of questions to determine if they are experiencing other non-detectable symptoms of the virus.
The device will allow for a telehealth call to a physician who can further verify the user symptoms and direct them to the nearest medical facility. The device will also offer the ability to dispense a rapid test which can then be sent off to check for active virus in the user.
The 3-D mapping drone will pair a standalone 3-D mapping unit paired with an off the shelf drone or RC vehicle. This device will be able to map locations
not easily accessible by standard vehicles and be compact in design. The device will be able to create a 3-D map of an area using Lidar and GPS.
A cellular antenna will also be utilized in conjunction with the GPS unit for high speed GPS tracking and to provide live video stream and high-speed data transfer. The device will have an onboard camera that will be used to verify objects detected by the lidar.
A micro controller will process the data and save it to an external drive. The external drive can then be uploaded to a 3-D mapping software to view the map created.
This device's purpose is to be an at-home piano practice tool. The project consists of a light bar that will sit above the corresponding keyboard which will indicate which keys to be played from an uploaded song and the mic will listen to if the correct key is played before moving on to the key of the song.
The project will have the user be able to control the speed of notes given to them. This project will consist of a Raspberry Pi Zero as the micro controller which will receive sound from a microphone, shift registers will be used to control the LED.
A display will be centered with the relevant information needed i.e., song title, completion status, speed of notes, and what note is next.