<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/bbae317988cb4ac2918e721fccbf8a39&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/bbae317988cb4ac2918e721fccbf8a39-9a847ba6480443b3.gif</thumbnail_url><duration>126.209</duration><title>Object Station Guardian: Enhancing Safety in Space 🚀</title><description>In this video, I present our project, Object Station Guardian, aimed at enhancing safety through object detection in space stations. I demonstrate our user interface, where you can upload images to check for safety objects, like nitrogen and oxygen tanks, and see the confidence levels of the detections. I also analyze different images to showcase the system&apos;s capabilities. Additionally, I mention our future plans to integrate Falcon updates for synthetic data training. I encourage everyone to explore the UI and provide feedback on the results.</description></oembed>