Mrs. Aisha Al-Owais (SAASST Space Artificial Intelligence Lab) and Ms. Nafisa Zian (SAASST CubeSat Lab) participated in this workshop.

The workshop provided valuable practical knowledge in applying AI principles to visual inspection workflows. It included hands-on sessions covering image classification, object detection, image registration, and scene color matching. Additionally, advanced image processing techniques were discussed. This is essential for efficiently handling astronomical images coming from satellites and telescopes. Such workshops are instrumental in keeping SAASST researchers updated with the latest technological advancements and making connections within the industry. The knowledge gained from this workshop equips our team to elevate our capabilities in processing and analyzing space data with greater precision and efficiency.

Artificial Intelligence (AI) has revolutionized various industries, and one area where its importance shines is in Visual Inspection and Quality Control. With the exponential growth of manufacturing and production processes, the need for accurate and efficient inspection methods has become paramount. AI-powered visual inspection systems offer a remarkable advantage over traditional human-led methods, as they can quickly and accurately identify defects, flaws, or deviations in products with unprecedented precision. These AI systems can analyze vast amounts of visual data in real time, ensuring consistent quality control, reducing errors, and significantly increasing production efficiency. By automating the inspection process, AI also minimizes human error, leading to higher product quality and customer satisfaction. As technology continues to advance, AI's role in Visual Inspection and Quality Control is set to be even more transformative, making it an indispensable tool for industries seeking to maintain excellence in their manufacturing processes.