Our AI opens the world of marketing to new opportunities. Faces AI allows in the real-time target offline marketing campaigns to the right audience and measure the performance of your campaigns at the same time. We are happy to deliver this project to our business partner AD24.
Faces is an artificial intelligence for tracking people wherever it's wanted – in a shop, mall, restaurant or any other business. It predicts visitors’ age, gender and duration of stay, and provides clear statistics available in real-time.
Compared to other similar applications, it does not need a dedicated server with expensive GPU cards. It only needs Raspberry Pi.
Anyway – Rapsberry Pi achieves a competitive performance. The F1 score for detecting people on widely used Wider benchmark
is 0.7 which corresponds to the ability to detect people up to nine meters far away
from the camera.
An accuracy of gender prediction is 95 percent and an average error of age prediction is less than seven years.
Since it was trained on our specifically annotated dataset, it works even in suboptimal conditions such as bad light or fast moving people.
Faces utilizes the latest advancements in deep neural networks and computer vision algorithms. On top of that, we have updated specially for this project our Emloop framework that enables to train powerful AIs for edge computing devices like Raspberry Pi.
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