AI Face Recognition: Identifying public figures across media
Is finding personalities in your media data taking a lot of time and causing unnecessary costs? Our Face Recognition technology helps you quickly detect and identify people in different categories.
facial identification
What does the Face Recognition do?
The Face Recognition module automatically detects and identifies human faces in images and videos. The system uses a pre-trained AI model that can recognize more than 20,000 well-known people. These include public figures from politics, sports, business, and entertainment. It makes it easy to organize large media archives, find relevant content, and use media data for your specific needs.
For faces without labels, the system provides smart indexing and clustering. It gives each unknown face a unique ID and groups similar faces together. This makes it easy to track people across media files and add names later.
The benefits of choosing us
Over 20,000 pre-trained personalities
DeepVA’s pre-trained models recognize faces from politics, sports, business and entertainment. This helps you analyze content, organize archives, and improve workflows.
Adapt the AI to your needs
With the Deep Model Customizer, you can train individual face recognition models – perfect for company-specific requirements or regional characteristics.
Efficient Face Indexing & Clustering
Unknown faces are automatically grouped or assigned unique IDs. This means you can track people across different content — even if the system hasn’t been trained on them before.
Face Recognition module is part of our Deep Media Analyzer application. Check it out now:
What you’ll get
Detected faces with bounding boxes
Precisely locate and isolate each face in your images and videos with accurate boundary detection.
Recognized names
Automatically identify known individuals from our database of 20,000+ personalities or your custom-trained models.
Confidence scores
Each identification includes a reliability score, ensuring you know exactly how certain the match is.
Timestamps for video
Pinpoint exactly when individuals appear in video content with frame-accurate timing information.
Face attributes
Not only detect faces, but also analyze their attributes — like age, gender, emotion, and visible objects such as glasses, hats, or masks — with frame-accurate precision.
Practical Applications
Face Recognition use cases
DeepVA Face Recognition technology is trusted across various industries – from media and sports to construction, retail, and public archives. It supports a range of use cases that rely on DeepVA’s powerful face recognition capabilities.
Real-world success stories
Heilbronn
DeepVA helps the Heilbronn City Archive to automatically index and digitize a large amount of images.
Bayerischer Rundfunk
Creating and managing training data for face recognition using AI requires a lot of time and resources.
Vidispine
With the help of DeepVA, the user can intuitively and easily create and manage training data directly in the media asset management system (MAM).
frequently asked questions
Have a question? We’ve got answers
Which faces does DeepVA recognize by default?
The pre-trained model includes over 20,000 personalities from various fields, including many German politicians and athletes.
Can I train my own faces for recognition?
Yes, with the Deep Model Customizer, you can create your own models tailored to specific requirements.
How does face indexing work?
Unknown faces can be automatically assigned unique IDs so that they can be tracked across different content and named later – without additional training.
Is your service GDPR compliant?
Yes, DeepVA is fully GDPR compliant. We take data protection and privacy seriously and ensure that all personal data is processed in accordance with GDPR regulations.
How is my data handled? Does the AI learn from my data?
You have full control over your data on our AI platform, ensuring it remains secure and compliant. By default, we do not use your data to train our models, keeping it proprietary. However, you have the option to train models using your data, and in that case, it will remain exclusive to your organization.
What type of data do you store?
By default, we do not process your data beyond what is required to provide our services. If additional processing is necessary, it will only occur as outlined in your instructions or where legally required. For example, data may be transferred or processed as needed to fulfill service requirements, always in alignment with our agreements.
To learn more about how we process data and the safeguards in place, please refer to our Data Processing Agreement.
