Project

# Title Team Members TA Documents Sponsor
56 Automatic Bike Light
Magdalene Noftz
Nathanael Salazar
Pesandi Gunasekera
Chihun Song design_document1.pdf
final_paper1.pdf
photo1.HEIC
photo2.HEIC
photo3.HEIC
photo4.HEIC
presentation1.pptx
proposal1.pdf
video
# Automatic Bike Light

Team Members:
- Magdalene Noftz (noftz2)
- Pesandi Gunasekera (pesandi2)
- Nathanael Salazar (nsala6)

# Problem

Bicycles that drive on the road legally must have a light on the front allowing them to be visible for 500 feet and have a rear reflector or rear light in the state of Illinois. It is also recommended that a bike is visible for at least 100 feet for vehicles approaching from behind.

Presently there are no systems in place to adjust the brightness of the headlight of a bike in the same way cars have automatically adjusting headlights. There are also no rear lights that automatically turn on or off to alert cars behind the bike of its presence.

Additionally, even if cyclists have lights on their bikes, they can forget to turn them on. Similarly, cyclists can forget to turn their lights off, thus draining the battery and making the lights useless. Also, the luminosity of certain lights may not be appropriate for the light level of the environment that the cyclists are biking through.

# Solution

Bike lights increase visibility and reduce accident risks.

Front light brightness is determined based on ambient light. The darker the surrounding the brighter the light. We would ensure this brightness is calibrated for the bike and is always visible from 500 ft ahead.

The rear light turning on would be based on the bike’s distance from a car behind the bike.

For additional functionality to save energy, if we had time we would like to turn the bike light off if the bike is stationary for long periods of time.

# Solution Components

Bike (Nathanael’s bike)
Front Light
- White bike light (Walmart)
- Photoresistors
- Microcontroller
- Vibration sensor (1528-1766-ND)

Back Light
- Red bike light (Walmart)
- Ultrasonic sensor (1738-SEN0313-ND)
- Microcontroller
- Vibration sensor (1528-1766-ND)

## Subsystem 1: Front light

The front light would detect the ambient light of the surroundings and automatically adjust its brightness accordingly. Photoresistors would be placed on top of the light to determine the luminosity of the sunlight or streetlights nearby.

In broad daylight, the photoresistors would detect the brightness from the sun. This condition could turn the lights off or set it to a flashing mode to improve the visibility of the cyclist.

During night time, the lack of surrounding light would be detected by the photoresistors and set the front bike light to a constant beam that varies in intensity depending on the environment. In well-lit areas, such as cities, the microcontroller would set the light to emit an intensity of at least 150 lumens. In semi-lit areas, such as main roads, the light would emit an intensity between 150 and 400 lumens. In very dark areas, such as unlit trails, the light would emit an intensity upwards of 400 lumens.

The bike light will contain a vibration sensor to detect when the bike is moving. The vibration sensor would be able to detect when the bike is in motion and turn on based on the aforementioned light level. After 5 minutes of inactivity, the light would automatically turn off.

## Subsystem 2: Rear light

The rear light will use an ultrasonic sensor to detect a vehicle behind the bike within a distance of 25 feet. Although the recommended distance is 100 feet, ultrasonic sensors that can detect this range are very expensive, and so our project will use the range of 25 feet. If the project were to be expanded later on, we would switch the sensor to one that could detect farther.

If the sensor detects a vehicle behind the bike, the microcontroller will turn on the rear light to make the bike visible. Once there is no longer anything detected within the range, the microcontroller will turn the light off. Additionally, the vibration sensor will detect if the bike is in motion and is being used. Once the vibration sensor detects that the bike has not been in motion for five minutes, it will turn off the light fully.

# Criterion For Success
- Photovoltaic sensor detects changes in ambient light
- Photovoltaic sensor is used to adjust the brightness of front bike light
- Ultrasonic sensor detect movement 25 feet behind bike
- Rear light turns on if movement is detected
- Vibration sensor correctly detects when bike is moving
- Both lights turn off if the bike has not moved for over five minutes.

Wireless IntraNetwork

Daniel Gardner, Jeeth Suresh

Wireless IntraNetwork

Featured Project

There is a drastic lack of networking infrastructure in unstable or remote areas, where businesses don’t think they can reliably recoup the large initial cost of construction. Our goal is to bring the internet to these areas. We will use a network of extremely affordable (<$20, made possible by IoT technology) solar-powered nodes that communicate via Wi-Fi with one another and personal devices, donated through organizations such as OLPC, creating an intranet. Each node covers an area approximately 600-800ft in every direction with 4MB/s access and 16GB of cached data, saving valuable bandwidth. Internal communication applications will be provided, minimizing expensive and slow global internet connections. Several solutions exist, but all have failed due to costs of over $200/node or the lack of networking capability.

To connect to the internet at large, a more powerful “server” may be added. This server hooks into the network like other nodes, but contains a cellular connection to connect to the global internet. Any device on the network will be able to access the web via the server’s connection, effectively spreading the cost of a single cellular data plan (which is too expensive for individuals in rural areas). The server also contains a continually-updated several-terabyte cache of educational data and programs, such as Wikipedia and Project Gutenberg. This data gives students and educators high-speed access to resources. Working in harmony, these two components foster economic growth and education, while significantly reducing the costs of adding future infrastructure.