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Deep Indexer clusters unknown persons in videos, images, and audio files and returns unique IDs to identify that person even if you don’t know them yet.
Deep Indexer provides advanced clustering methods to unlock the full potential of your face recognition and speaker identification apps.
Deep Indexer is the easiest way to start using an AI to identify a person’s face or voice without training your AI upfront.
Having a huge media archive that needs to be analyzed could be costly over time if you need to analyze it more than once. Deep Indexer saves costs by providing unique IDs instead of real labels that can be renamed how often you want.
How can I filter dublicates in my archive material more quickly?Read More
How can I identify and label people without pre-trained face recognition?Read More
Using Face Index, each person in video and image material can be assigned a number, allowing them to be translated into the metadata afterwards.
Integration & Deployment
Deep Indexer integration allows you to combine the strength of AI-powered computer vision and fingerprinting to unlock the full recognition potential for your videos.
With the help of DeepVA, the user can intuitively and easily create and manage training data directly in the media asset management system (MAM).Read More
Creating and managing training data for face recognition using AI requires a lot of time and resources.Read More
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