Teen Develops Flood-Detecting CubeSat – IEEE Spectrum

At present satellites, synthetic aperture radar, and GPS are used to gather information on flood harm, observe the placement of victims, and talk with emergency responders. However expertise failures and sluggish data transmission speeds result in delays in response time, Service provider says. The rise in world flooding has intensified the necessity for extra correct and dependable strategies.

Final yr Service provider constructed what she says is a simpler option to observe and accumulate information throughout floods: a small, cheap, standardized CubeSat built-in with artificial intelligence. The little satellites use a multiple of 10- by 10- by 10-centimeter units—which permits producers to develop their batteries, solar panels, computer systems, and different elements as off-the-shelf elements.

The CubeSat takes pictures of an space and makes use of pattern recognition to detect flooding, assess infrastructure harm, and observe survivors.

Service provider introduced her paper on the machine at this yr’s IEEE Region 3 annual convention, IEEE SoutheastCon.

“IEEE is a foundational a part of my progress as a younger researcher,” she says. “It turned engineering from my dream to actuality.”

Constructing a CubeSat at MIT

Service provider says her curiosity in disaster response was sparked after studying that it will possibly take a number of hours for emergency employees to obtain satellite tv for pc information.

Decided to discover a quicker technique, she started researching applied sciences and found what CubeSats can do.

“CubeSats are very agile, scalable, and able to forming constellations (multiple-satellite teams) that replace information in practically actual time,” she says. “The concept that these small satellites—which match into the palm of your hand—may ship life-saving insights quicker than conventional techniques actually impressed me to push the idea additional.”

Final yr Service provider and three of her classmates have been accepted into MIT’s Beaver Works Build a CubeSat Challenge, the place groups of as much as 5 U.S. highschool college students got eight months to develop a satellite tv for pc able to finishing a space-based analysis mission.

Service provider’s staff—the Satellite Sentinels—constructed a CubeSat powered by a convolutional neural community (CNN) that may determine closely impacted flood zones and remotely accumulate information for disaster relief and environmental monitoring. CNNs analyze picture information for sample recognition.

Service provider was the group’s payload programmer and led the mission’s design and simulation efforts, which included planning, configuring {hardware}, and growing autonomous software program and algorithms to handle the payload.

The staff started by making a 3D mannequin of the machine to visualise and refine the position of its elements. The expertise used—together with a Raspberry Pi, a number of sensors, and a digital camera—was housed in a transparent plastic dice.

The center CubeSat was developed by Service provider and her staff throughout the MIT Beaver Works Construct a CubeSat Problem. On the left is a business 1U CubeSat whereas on the proper is a prototype of Service provider’s present design. Abigail Service provider

The machine, which value US $310 to construct, weighs about 495 grams and was remotely linked to a laptop computer by way of Bluetooth throughout ground-based testing. The pc accommodates a machine learning algorithm—written by Service provider utilizing Python—that analyzes collected pictures to detect flooding.

The CubeSat takes a high-definition picture of its environment each 2 minutes and transmits it to the laptop computer. The satellite tv for pc transfers as much as 1,500 pictures day by day and shops them on a 16-gigabyte SD card.

The algorithm then analyzes patterns, together with modifications within the water’s shade and the picture’s pixel density. When the algorithm detects flooding, the machine can alert emergency responders.

“Whereas many current techniques function on multihour cycles, the CubeSat captures high-resolution pictures each 2 minutes,” Service provider says. “The system can then set off alerts which are delivered to first responders by way of SMS or electronic mail.”

To check their system, Service provider and her staff constructed a metropolis mannequin product of Lego blocks in an empty bathtub. They positioned the CubeSat over it, and it took pictures of the scene. They then added water and filth to make it look extra like an actual flood. The CubeSat efficiently transferred the pictures to the laptop computer, and the algorithm detected the flooding.

Out of 30 groups, the Satellite tv for pc Sentinels positioned third.

Persevering with her work at Accenture

Service provider is continuous her analysis on flood-prevention applied sciences at Accenture in Richmond, Va., the place she works remotely as a payload proprietor and designer for the corporate’s CubeSat launch staff.

After the MIT program ended, Service provider determined to scale her mission. She reached out to her former mentor Chris Hudson, the worldwide technical lead in house cybersecurity at Accenture. He supplied her an internship.

Service provider is working to make the transition from prototype to useful product however, she says, wants to beat obstacles she encountered along with her MIT mission.

The principle one was that the mannequin struggled to detect flooding in variable circumstances. It’s as a result of the CNN mannequin wants context, she says. With out it, the mannequin can misread complicated visible cues. To repair the difficulty, Service provider skilled the algorithm to identify flooding by figuring out colours in particular person pixels.

Transmitting pictures utilizing Bluetooth labored in her lavatory, but it surely isn’t fairly as helpful when CubeSats are orbiting 700 kilometers above the bottom.

“In case you’ve used a Bluetooth headset earlier than, you understand it disconnects the second you stroll away from the machine it’s linked to,” she says. “That isn’t going to work when the CubeSat constellation is in orbit.”

She steered the Accenture staff change to SubMiniature Model A (SMA) antennas. The RF antennas connect with the CubeSats utilizing an SMA connector.

“The event course of has been one of the formative experiences of my profession to this point,” Service provider says. “Working by means of the payload design and validation and assembly with these groups has given me a lot expertise, particularly for my age.”

Her payload is anticipated to be launched early subsequent yr.

An aerospace internship at MIT

Service provider is an intern on the MIT Computer Science and Artificial Intelligence Laboratory, the varsity’s largest interdisciplinary lab, with 60 analysis teams. CSAIL is led by IEEE Fellow Daniela Rus, recipient of the 2025 IEEE Edison Medal.

The internship is distant, and Service provider conducts analysis in a laboratory on the University of Central Florida, in Orlando.

“IEEE is a foundational a part of my progress as a younger researcher. It turned engineering from a dream to actuality.”

In that position, Service provider is specializing in cognitive cartography, a technique for structuring complicated data into semantic maps that reveal how concepts and ideas relate to 1 one other. She makes use of embedding models, a sort of machine studying that converts data into numerical representations. The embeddings permit computer systems to acknowledge similarities and relationships between ideas, even when they’re described in numerous methods. The method helps an AI product perceive how concepts join, somewhat than treating every bit of information as remoted.

“Being one of many youngest individuals within the lab is daunting,” Service provider says. “Nevertheless, I’m actually excited to study from engineers and researchers who’re working on the chopping fringe of the sphere.”

She says she is hoping to attend MIT or Stanford.

The way forward for IEEE

Service provider was launched to IEEE by Joe Jusai, former finance chair of the IEEE Orlando Section.

Her first private expertise with the group occurred in 2023 whereas she was conducting analysis for a science truthful mission. She was engaged on a robotic arm that might choose up objects utilizing an electroencephalogram and Bluetooth. The mission was impressed by her grandmother, who suffers from mobility points and was wheelchair-bound.

“I saved seeing IEEE talked about in each regulation and customary I discovered,” Service provider says. When she discovered about an upcoming Orlando Part assembly, she requested her mom to take her.

On the assembly, a number of members introduced their analysis. Service provider requested Masood Ejaz and Varadraj Gurupur—the chapter chair and cochair—if she may focus on her science truthful mission.

“After presenting my work, IEEE shortly grew to become a group that has formed my understanding of what engineering can accomplish,” she says.

She felt on prime of the world, she says, when she introduced her paper about her CubeSat mission at IEEE SouthEastCon.

“It’s a kind of experiences that actually modifications you,” she says.

She is happy to turn out to be an IEEE pupil member when she begins faculty, she says. She additionally has her sights set on being elected as its president sometime.

“I met Kathleen Kramer at certainly one of my native IEEE occasions earlier than she was elected IEEE president, and we spoke about my work,” she says. “After she was elected, I spotted that I might like to turn out to be the president of IEEE sometime.

“I hope in the future that I can step into the identical sneakers as her and proceed to assist IEEE the identical manner it helped me.”