Micro Focus IDOL makes it easy to detect and identify specific known object classifications such as people, bikes, packages, buses and automobiles within image and video feeds in real time. Whether it be for traffic optimization or physical security surveillance, IDOL is unmatched in its ability to detect and identify key objects within a video file or live video.
IDOL image classification is an automatic, or trained, process of categorizing and labeling images or portions of images into groups based on specific rules or automatically identified similarities to reduce manual efforts in image analysis. IDOL image classification is used across multiple industries to improve accuracy and wholistic understanding within image sets.
Understanding brand placement and exposure is key to maintaining brand continuity and reducing IP theft. IDOL scours the web, broadcast video sources, and social media to identify where and when a logo is appearing. For brand management teams, this has two significant impacts; allowing them to understand brand value and enabling rapid negative exposure mitigation.
The widespread shift from analog to digital media means law enforcement officers and security analysts face a new problem. A larger amount of image and video information is being used to identify suspects in crimes. IDOL image and video analytics make the collection, organization, and identification within these assets easier for smaller teams of analysts.
