video1.0<iframe src="https://www.loom.com/embed/a272c0c08ae74b1db778c63934d17fc9" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/a272c0c08ae74b1db778c63934d17fc9-full-1701197557182.jpg339.356In 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.