Detect and analyze human faces with Face Detection
Find human faces in photos and videos with state-of-the-art proprietary Face Detection technology.
Why Sightcorp Face Detection software?
Sightcorp develops patented proprietary AI Software solutions. Through computer vision, deep learning and
machine learning, our technology can analyze faces in images, videos, and in real-life environments.
Robust & Accurate
Easy to integrate
We are using and heavily promoting Sightcorp’s Toolkit because of its stability, accuracy and very easy installation and hardware configuration. The real-time aggregated data is immediately accessible through the reporting dashboard, which enables us to scale with ease.
─ S. Ahmedov, CEO OmniChannel
Face Detection technology
What is Face Detection
Face detection is a computer technology that is being applied for many different applications that require the detection of human faces in digital images or video. The technology is able to detect frontal or near-frontal faces in a photo or video, regardless of orientation, lighting conditions or skin color.
Our Face Detection is a state-of-the-art proprietary technology. The software uses pattern detection technology and therefore there are no images stored and no personal information is collected. The only data that is stored is of an anonymous, aggregate, statistical nature.
How does Face Detection work?
Face detection employs algorithms that decide whether an image is a positive image (face image) or negative image (non-face image) and this is called a classifier. When a human face is detected, the technology will return the coordinate locations of those faces within an image or video with a bounding box.
How can you use Face Detection?
- Count the number of people entering/ exiting a mall/ shopping environment.
- Use it as the starting point for any other face analysis task you would want to perform. For example, use it to blur peoples faces by default for privacy reasons.
- Localize a face in a passport or other ID document for Face Matching purposes. And many more other real-world examples of how Face Detection is used.