Voxel51 Launches Image-To-Video Tool Enabling Models Trained on Images to Automatically Process Video

Voxel51, a video-first AI company based in Ann Arbor, Michigan, announced the release of its innovative Image-To-Video tool at TechCrunch Disrupt 2019 in San Francisco. This tool allows computer vision teams to utilize their existing image-trained analytics models to process video content efficiently, addressing the traditional challenges of handling video data. This advancement is made possible by Voxel51’s spatio-temporal deep learning models, which can accurately identify and classify various elements within video scenes. The scalable platform is designed to help customers manage large video datasets by tagging, searching, and integrating detected content into their operational workflows with speed and precision. Co-founded by University of Michigan professors Dr. Jason Corso and Dr. Brian Moore, Voxel51 has been recognized as a top AI startup at the event, and its technology aims to facilitate real-time, data-driven decisions in public safety, security, and smart city applications.

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