{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c41f6a72a92a4f0cbea77ff5b487303e\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c41f6a72a92a4f0cbea77ff5b487303e-1702048142591.gif","duration":72.07,"title":"Trash AI: Analyzing Images for Path Optimization","description":"In this video, I explain how our trash AI works by taking images as input and analyzing them to provide visual and JSON outputs. The AI assigns a score and other values, with the area being the most important. This information allows us to render the path optimization and move the boat to collect trash efficiently. The AI can also analyze videos as input, but for now, we will focus on using images. Action requested: Please review the initial prototype images and provide feedback."}