Sophisticated real-time participants analysis at scale

Socially Aware Machine (SAM)

Socially Aware Machine is a cutting-edge system that enables real-time analysis of participant's attention, emotions, facial expressions, and authenticity (facial recognition) using webcam video streams.

With its advanced technical capabilities, SAM provides unparalleled accuracy and efficiency in analyzing complex data, making it ideal for a variety of real-time participant analysis projects.

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Advanced Technology

The system's emotion and facial expression detection capabilities are supported by custom Convolutional Neural Network (CNN) models, trained with self-training data and a diverse image dataset to deliver remarkable precision and accuracy

SAM's attention detection feature is powered by a bespoke graph-based model, integrating Blazeface and mobileNetV2 models with Google's mediapipe framework. This advanced algorithm enables SAM to compute a precise attention score based on detailed facial and iris key points analysis, providing an unparalleled level of engagement insight

Finally, SAM's face identification functionality employs a ResNet-34 deep learning model, which precisely compares facial descriptors from a given image with the participant's live video stream, ensuring outstanding facial recognition capabilities

Enable innovation

Support customisation, integration for web based application, client based application and edge based device

Features:
● multiple participants analysis
● real-time
● edge-based / client-based available
● light-weight
● support different presentation
● historic data and analysis
● and many more

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