Our predictive eye tracking software uses database of eye movements and gaze patterns of actual users
The software analyses people’s eye movement and gaze pattern data such as fixations (steady gaze), saccades (quick movements), and following a moving object is measured and benchmarked
is used to understand the viewer’s unconscious priorities while viewing any design stimuli’s.
We compare and tune the analysis with use of both types of data with public eye tracking
data sets and proprietary. The database containing thousands of images viewed by
hundreds of participants from real eye tracking studies is then used to train our algorithm.
We measure, benchmark, compare and tune the analysis with use of both types of data with
public eye tracking data sets and proprietary.
Algorithm Inspired by Neuro science research
Neuroscience helps us to understand
how people perceive, process and respond to your design. Dhiti AI simulates human
vision and predicts what people will automatically see or miss in first few seconds of
viewing. It analyses your designs using artificial neural networks (ANN) algorithm,
that simulate what people see during the first 5 seconds of viewing. With image
processing and machine learning the model map out the underlying visual perceptual
patterns and features in the data like contrast, orientation, layout, size, intensity, colour,
text and face detection. Dhiti AI’s attention prediction model is based on deep learning and can automatically detect visual attention shifts that can be used as a substitution for eye tracking studies.
Up to date, we have achieved 90% accuracy in our datasets containing
data of how humans look at the designs for the first 5 seconds of viewing. State of
the art accuracy in Saliency prediction, as known as Attention (Heat) maps. Dhit AI’s
predictions to be 90% as accurate as conducting physical studies involving hundreds
of participants, eye tracking hardware, lot of money and weeks of time. Simplified
everything with just a click. It can analyse almost any visual like print and digital
advertisements, indoor/outdoor signage, websites, apps, e-mail, packaging & shelf