Security data annotation
Security data annotation presents a unique set of challenges and opportunities. By careful manual annotation of your visual data we will create a dataset that will teach your camera to recognize individuals, objects, animals, detect a movement, track an object through multiple video frames and even multiple security cameras.
Datasets we create consist of millions of images, hundreds hours of video footage, fingerprints and many more.
Developing AI that would precisely recognize faces, read emotions and understand the health condition of a person has been a challenge for many decades. As for today, computer vision models are extremely advanced. The key part for the model performance is the quality and variety of the data used to train it. Keymakr is at the frontier of creating training data for various applications of computer vision AI for facial recognition.. We have created and perfected method for creating high quality large training datasets for:
- Face recognition
- Emotion recognition
Object or person tagging and tracking on security monitors
A carefully designed mix of customer and inhouse-generated data will teach AI to tackle most complex tag-and-track assignments, whether these are people, animals or objects traversing multiple fields of view.
AI can effectively analyze continuous streams of visual data to pre-screen and highlight any areas of concern.
CUSTOM DATASETS TAILORED FOR YOUR SECURITY NEEDS
We specify, generate and validate custom datasets that fine-tune pattern matching capabilities. This allows AI to assume 90% of visual classification and detection workload, separating human operators from raw image data, reduce staff stress and alleviate privacy concerns.
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