Medicine Inventory Counting using Deep Learning

Case Study

Medicine Inventory Counting using Deep Learning

Automated medicine inventory counting in operating rooms leading to improved operational efficiency of hospital staff and higher supply chain effectiveness

Executive Summary

eInfochips helped the client in shaping the innovative concept of computer vision-based inventory tracking to a working prototype through cross-functional development and patent research for productization

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Client

US based leading and innovative medication management and pharmacy solutions company

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Challenge

The client wanted to build computer vision-based, automated medical inventory counting solution for hospital operating rooms and pharmacies to monitor and keep stock of medications in drawers – vials, bottles, injections, medicine cream tubes, medicine boxes, etc. Key environmental considerations involved capturing, tuning image input with low light, occlusion in field of view. Performance requirements entailed accurate real time detection, identification of multiple objects, counts.

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