Detect faces within a frame, generate key points on the face, and begin tracking dwell time and session time. Pass that detection into our neural networks for our demographics.
Once we detect and landmark, the detection is passed to our neural network to generate a hierarchy of features, to compare to our existing model of what our demographics should look like.
From there, we generate age, gender, and emotion for detected person and push these metrics to the dashboard, trigger webhooks, and store in our database.
Accuracy and Metrics
Below are updated statistical analysis of the accuracy of our data points. We improve these daily and will grow the types of metrics we gather as we further develop our technology platform.
|Age||+/- 10 years
|View||+/- 5 degrees (91.3%)|
|Dwell Time||+/- 100 ms|