# Title Team Members TA Documents Sponsor
Emily Wang
Shannon Kuruc
Tony Xiao
Yamuna Phal design_document0.pdf
Team Members:
Shannon Kuruc (kuruc2)
Emily Wang (eswang3)
Tony Xiao (tsxiao2)

Inspired by the sustainable and low-cost farming efforts in Kenya (, we consulted with Professor Brian Lilly in order to tackle to issue of sustainable fish farming in Kenya. The intention is to create a low-cost tank monitoring kit to aid in the monitoring and efficiency of running a sustainable small-scale aquaponic farm.

We are looking to sense the pH, ammonia, nitrite, nitrate, or oxygen levels (or some combination of) levels of a small-scale fish farming tank. Currently, this farm has no electronic monitoring equipment. Our goal is to be able to interface together an LED display, solar panel with small battery for power, and the necessary sensors to improve the efficiency of the small-scale farm. Our design would be useful for assisting the farmers in maintaining multiple tanks and improving their profit margins. The ultimate goal of the project would be to create a very low-cost kit for fish farmers.

We are proposing to use a pH sensor (conductivity-sensing), dissolved oxygen sensor, microcontroller, battery pack for when the sun goes down, solar panels, and controls for the pre-existing pump (acts as oxygenator). The battery would power the system for about 4 hours total overnight and we have estimated a 60 WHr battery will be used.

As a potential stretch goal, Professor Lilly is interested in gathering the sensor data and uploading it to a server so he can track the tanks while here in the United States. We may implement this extra feature with Arduino.

Link to discussion post:

Cloud-controlled quadcopter

Anuraag Vankayala, Amrutha Vasili

Cloud-controlled quadcopter

Featured Project


To build a GPS-assisted, cloud-controlled quadcopter, for consumer-friendly aerial photography.


We will be building a quad from the frame up. The four motors will each have electronic speed controllers,to balance and handle control inputs received from an 8-bit microcontroller(AP),required for its flight. The firmware will be tweaked slightly to allow flight modes that our project specifically requires. A companion computer such as the Erle Brain will be connected to the AP and to the cloud(EC2). We will build a codebase for the flight controller to navigate the quad. This would involve sending messages as per the MAVLink spec for sUAS between the companion computer and the AP to poll sensor data , voltage information , etc. The companion computer will also talk to the cloud via a UDP port to receive requests and process them via our code. Users make requests for media capture via a phone app that talks to the cloud via an internet connection.

Why is it worth doing:

There is currently no consumer-friendly solution that provides or lets anyone capture aerial photographs of them/their family/a nearby event via a simple tap on a phone. In fact, present day off-the-shelf alternatives offer relatively expensive solutions that require owning and carrying bulky equipment such as the quads/remotes. Our idea allows for safe and responsible use of drones as our proposed solution is autonomous, has several safety features, is context aware(terrain information , no fly zones , NOTAMs , etc.) and integrates with the federal airspace seamlessly.

End Product:

Quads that are ready for the connected world and are capable to fly autonomously, from the user standpoint, and can perform maneuvers safely with a very simplistic UI for the common user. Specifically, quads which are deployed on user's demand, without the hassle of ownership.

Similar products and comparison:

Current solutions include RTF (ready to fly) quads such as the DJI Phantom and the Kickstarter project, Lily,that are heavily user-dependent or user-centric.The Phantom requires you to carry a bulky remote with multiple antennas. Moreover,the flight radius could be reduced by interference from nearby conditions.Lily requires the user to carry a tracking device on them. You can not have Lily shoot a subject that is not you. Lily can have a maximum altitude of 15 m above you and that is below the tree line,prone to crashes.

Our solution differs in several ways.Our solution intends to be location and/or event-centric. We propose that the users need not own quads and user can capture a moment with a phone.As long as any of the users are in the service area and the weather conditions are permissible, safety and knowledge of controlling the quad are all abstracted. The only question left to the user is what should be in the picture at a given time.

Project Videos