Face-detection algorithms focus on the detection of frontal human faces. With our robust and accurate face detector, along with our deep learning-based face recognition models.
Edge computing is a distributed computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth.
Mobile ans Web application packed with various AI functions.
Google Extension can automatically create screenshots, detect and identify faces automatically.
Share application windows or web pages and analyze the emotions from people's faces.
An IoT device with built-in AI that can analyze and visualize the gender, race, age, and emotions of all people captured by the camera.
“Our mission is to convert the un-datable into data and provide new perspectives to people around the world.”