Teen’s CubeSat Invention Detects Floods Early
▼ Summary
– Abigail Merchant, a 15-year-old from Florida, built an AI-integrated CubeSat to improve flood detection and disaster response, addressing delays in current satellite data systems.
– Her CubeSat captures high-resolution images every two minutes and uses a machine learning algorithm to analyze patterns and detect flooding, aiming to alert responders faster.
– Merchant and her team placed third in MIT’s Beaver Works Build a CubeSat Challenge, constructing a functional prototype for under $310 that was tested using a model city in a bathtub.
– She is now interning remotely with Accenture to refine the technology, overcoming challenges like variable condition detection and upgrading from Bluetooth to SMA antennas for orbital use.
– Merchant credits IEEE with supporting her engineering growth, presented her work at an IEEE conference, and aspires to become an IEEE student member and future president.
Living in Orlando, Florida, a region frequently impacted by flooding, high school student Abigail Merchant recognized a critical need for faster disaster response. Motivated by the increasing severity of floods linked to climate change, she developed an innovative, low-cost solution using artificial intelligence and small satellite technology. Her invention, a CubeSat equipped with pattern recognition software, aims to detect floods and assess damage in near real-time, potentially saving lives by alerting emergency responders far more quickly than current systems allow.
Abigail, a sophomore at Orlando Science Middle High Charter School, identified a significant gap in existing flood monitoring. While satellites and radar are used, delays in data transmission can hinder rescue efforts. She envisioned a more agile system. Her solution leverages a standardized, miniature satellite format known as a CubeSat. These compact units, built from off-the-shelf components, are cost-effective and highly adaptable.
The core of her system is a convolutional neural network (CNN), a type of AI that analyzes images for specific patterns. Her CubeSat captures high-definition photographs of a landscape every two minutes. These images are processed by an algorithm Abigail coded in Python, which scans for visual cues of flooding, such as changes in water color and pixel density. When a flood is detected, the system can automatically send alerts via SMS or email to first responders.
To bring her concept to life, Abigail teamed with classmates for the MIT Beaver Works Build a CubeSat Challenge. Their group, the Satellite Sentinels, constructed a functional prototype for just $310. They rigorously tested the device using a creative model: a Lego cityscape in a bathtub, which they gradually flooded. The CubeSat successfully captured images and the algorithm correctly identified the simulated disaster. This impressive work earned the team third place in the national competition.
Her achievements opened doors to professional experience. Abigail now works remotely as a payload designer for Accenture’s CubeSat launch team, where she is refining her prototype into a space-ready product. She is tackling key challenges, such as improving the AI’s accuracy in variable weather conditions and upgrading the data link from short-range Bluetooth to robust SMA antennas for orbital communication. Her payload is scheduled for launch early next year.
Concurrently, Abigail holds a research internship with the MIT Computer Science and Artificial Intelligence Laboratory, focusing on cognitive cartography. This work involves using machine learning to create semantic maps, helping AI understand how complex concepts interrelate, a skill that enhances systems like her flood-detection algorithm.
Abigail credits the IEEE community with transforming her engineering aspirations into tangible projects. Introduced to the organization while researching for a science fair, she found mentorship and a platform to share her work. Presenting her CubeSat research at the IEEE SoutheastCon conference was a pivotal moment. She plans to become an IEEE student member in college and has even set a long-term goal of one day leading the organization as its president, inspired by a conversation with IEEE President Kathleen Kramer.
Looking ahead, Abigail aims to study at MIT or Stanford. Her journey from a concerned Florida teen to a satellite developer demonstrates how curiosity and determination can lead to technological solutions for pressing global problems.
(Source: Spectrum)