Project Idea
In this project, we developed a small-scale radio telescope thatcombines a dual-antenna setup with artificial intelligence (AI). The ources using machine learning. By using two antennas instead of onegoal is to capture radio signals from space and help identify their s, the system can detect a wider range of frequencies and reduce noise, which improves the overall quality of the received signals. , and AI—bridging the gap between complex scientific equipment anSkyLynx makes it easier for students and hobbyists to explore the radio side of the universe using affordable and smart tools. It also offers a hands-on way to learn about radio astronomy, electronic sd accessible learning. In addition, the system can be customized or upgraded, making it a flexible platform for future educational or research-based experiments. Its compact size and low cost make it ideal for use in schools, workshops, or even home-based observatories.
01
The Beginning
The idea started from the goal of making Radio Astronomy more accessible to students and hobbyists by combining Dual-Antenna technology with AI in a small, low-cost system.
02
The Idea
SkyLynx captures Radio Signals from space, reduces Noise, and helps identify signal sources using Machine Learning.
03
The Experience
We started with the concept of using Two Antennas to improve signal reception, then added AI/Machine Learning to analyze and identify the signal sources. We developed a customizable Small-Scale Radio Telescope for educational and research applications.
A visual tour documenting the manufacturing stages, laboratory testing, and live tracking experiments in the field.
Explore the projects and experiments that shape the Electrospace experience.
