Automated proctoring with real-time alerts & triggers
Local processing of video feed to avoid privacy concerns
State-of-the-art AI moulded and trained for ed-tech
Plug-n-play integration with horizontal scalability
Hybrid AI models for best accuracy and minimum latency
Integrates with your reporting dashboard.
The online transformation of conventional classrooms has brought out stark digital gaps in how education is imparted via online platforms.
Feedback from educators and parents alike have indicated the difficulties in capturing the levels of class focus, attendance, etc.
This has caused a decline in student-educator engagement and ultimately drop-outs due to poor outcomes.
samBOT utilises the video feeds in a classroom to function as an assistant to the educator. It is constantly looking out for students who are distracted and alerts the educator to bring their focus back in class.
samBOT takes away the time and resource heavy task of managing a classroom, allowing the educator to focus on what they do best, - TEACH.
The technology behind samBOT
Next, it continuously looks for a human face in the video to extract various ML-based signals like head movements, emotional expressions and tab movements via proprietary algorithms.
These signals mapped with multivariate time series are then classified into different attention states of the human.
Consequently, the educator is shown real-time alerts with a probability score if a student loses focus or is distracted.