{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a272c0c08ae74b1db778c63934d17fc9\" 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/a272c0c08ae74b1db778c63934d17fc9-full-1701197557182.jpg","duration":339.356,"title":"Trail Camera Image and Video Search with Meta AI ImageBind","description":"In this video, I will be demonstrating a trail camera project that I worked on. The project was inspired by the need to easily search through videos from trail cameras without manually reviewing all the media. I developed a system that uses image recognition and vectorization to make the media searchable based on specific keywords. I will show you a quick demo of how it works, including searches for pigs, deers and water, deers and fence, and image-based searches for deers and turkeys. The project is still in the proof-of-concept stage, but it has the potential to be integrated into a platform for trail camera media management."}