Project Idea
Radio telescopes are highly sensitive to environmental and structural factorsthat can significantly affect their accuracy and operational stability. These issues uctural misalignment caused by vibrations or harsh weather, which may go undeinclude dust accumulation on the dish surface, corrosion of metal components, and st rtected with manual inspection, potentially leading to errors in astronomical data or temporary system failure. This project aims to reduce manual inspection, improve fault detection accuracy, speed up maintenance trolled by a Raspberry Pi 3 B+ unit. The system captures periodic images response, and minimize operational errors caused by undetected faults. To achieve these goals, an intelligent automated inspection system was designed using a robotic arm equipped with a high-resolution camera, co nof key telescope components and compares them to reference images to detect early signs of faults. Although the system has not yet been tested in a real environment, the current design is expected to enhance inspection efficiency and support more reliable telescope performance.
01
The Beginning
The idea started from the difficulty of detecting faults in Radio Telescopes through Manual Inspection, such as dust, corrosion, and misalignment.
02
The Idea
The project provides an Intelligent Automated Inspection System that automatically monitors telescope components and detects early signs of faults using a Camera and AI-based Image Comparison.
03
The Experience
We started with the concept of automated inspection, then designed a Robotic Arm equipped with a High-Resolution Camera and controlled by a Raspberry Pi 3 B+. The system captures images and compares them with reference images to detect changes and faults.
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.
