Success Story

Machine Vision and Video Analytics Solution
For a Medical Research Organization



Business Problem

Efficient tracking of both fiducial markers and boluses during feeding and drinking and to characterize behavioural states from high speed biplanar video fluoroscopy.


More efficient and robust algorithm for marker detection and tracking to cut the digitization time through 3D characterization of jaw and tongue movements during unconstrained feeding.

Business Outcomes

Reduced digitization time – at least 100-500 times lesser when compared to manual counterparts.

Scope of Engagement

3 Member multi-disciplinary team / 3 months.

Services Provided

Artificial Intelligence (AI), Advanced Analytics