Ann Arbor’s Voxel51, a video artificial intelligence solution, has closed a $2 million seed round from eLab Ventures in Ann Arbor. It also launched its video understanding platform for automotive, smart city, and security applications.
The scalable platform allows users with large video datasets to search for specific objects, actions, and behaviors in the video and to automatically tag and integrate detected content into their workflows and decision making.
Most artificial intelligence solutions used to analyze video are designed for processing static images. Voxel51’s computer vision is built to process video to automatically identify and classify action in video scenes and can accurately comprehend activities and patterns.
“While advancements in AI and computer vision have enabled near-human object detection in images, video comprehension is still in its infancy,” says Jason Corso, co-founder and CEO of Voxel51. “We are already delivering human-level results, and this funding allows us to push the envelope even further. We will continue to execute on our vision to solve the complexities of video understanding and to improve the speed, accuracy and efficiency of large-scale video processing and analysis.”
The company has completed successful pilots in the automotive, smart city, and security spaces. Voxel51 also recently concluded a $1.25 grant awarded by the U.S. Commerce Department’s National Institute and Standards of Technology to develop video analytics for public safety, bringing its total investment to $3.25 million.
