Alegion

According to the National Retail Security Survey, 36.5% of missing inventory was attributed to shoplifting and 33.2% was due to employee theft. Understanding that, a world leading retail company came to Alegion with a very complex video annotation use case for loss prevention. How could we partner to develop a computer vision model that detected shoplifting at self-checkout? Read our quick blog to understand how Alegion builds better data to power better AI and was able to help this customer gain 60% in labeling efficiencies:

CV Case Study: Complex Video Annotation For Loss Prevention Learn how Alegion helps companies leverage high-precision video annotation to prevent inventory loss. 

Did you miss the in-depth discussion? Its not too late to catch: "Innovation Drivers & Data Labeling Trends for Video ML" with Chip Ray, CTO hosted by Cognilytica! Explore the dialog on using video as a type within ! Watch on demand now at: https://hubs.la/Q01lTwVc0

"Data Labeling And The Right Data To Annotate". Understand labeling for each data type and which is the best to choose for your next ML project. Check out this 5min read from Alegion.

Alegion is here to help companies Build Better Data to Power Better AI. https://hubs.la/Q01lhWtc0