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Emotions Analyzer

To collaborate and be a valued partner in frontier technology
for organizations in their digital evolutionary journey



Identified 14% of food waste avoidance and the interest level to 70%.

Paris

Goal

To measure the employees state of mind in the canteen on the offered food based on their facial expressions.

This emotions Al can be applied to schools to know about student's reaction to different subjects, exams.

Insights and Action

Hubino created library for the neutral, happy and surprise moods. This helps to identify how employees in the canteen react to food on seeing it. The whole purpose is not limited to capturing the emotions of the employees but also form analytics which helps in quantity of food consumed.

This eventually helps in preventing food waste as well as to caution on health fitness. Based on periodic population analysis, preparation of food can be limited based on the historical data helping to avoid food wastage. As the data keep growing, the system by itself will act as a health advisor and be able to decide on the food requirements for the day.

Results

70%

of the interest level identified.

14%

of food waste avoided.







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