Opsis Emotion Recognition Technology in Events Management Sector Case Study

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Opsis Emotion Recognition Technology in Events Management Sector Case Study

A publicly listed MICE (Meetings, Incentives, Conferences and Exhibitions) management company has 2,500 staff members in 35 offices in major cities around the world. The company uses emotion recognition technology to analyze engagement and satisfaction of conference attendees. The ultimate goal: to create a successful experience.

Objectives

To collect data on the mood and feelings of attendees in order to gain insights that will help improve the effectiveness of event planning.

 

Since most people are too polite to share their true feelings in public concerning an event experience, the AI emotion recognition platform offers more accurate data concerning the unvarnished reactions of attendees.

Solution

The SenseCrowd emotion recognition algorithm was integrated with the events’ cameras to capture visual proof of attendees’ feelings, based on facial expressions, body language, and other recognisable features.

Achievements

The algorithm can provide rapid evaluations of thousands of faces giving event planners real-time information on the degree to which attendees are engaged at various locations on the exhibition floor. The system can also generate real-time ‘mood maps’ that allow event planners to see which areas/booths/sessions have managed to make people feel the most engaged.


The system can also monitor an audience’s response to a keynote speaker to get a genuine assessment of reactions to both the speaker and specific contents of a presentation.


The system will also warn if conference participants are content or frustrated while queueing for registration.
Emotion sensing provides the most accurate and effective data possible on the true reactions of attendees at an event. Even subtle expressions are captured, and it is possible to interpret reactions of seemingly disinterested attendees who might otherwise hesitate to express themselves. Most people prefer to give neutral answers in conventional surveys. Attendees may have any number of reasons to hesitate at giving honest feedback. Survey fatigue is another problem and follow up email questionnaires most often elicit scant replies.

What Makes Opsis Emotion AI Powerful

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Real-Time​

Analyse with high precision in real time from face images, video and voice tone

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Platform-Agnostic

A product runs equally well across more than one platform.

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On-the-Edge​

AI and cloud-native applications, IoT, and it's billions of sensors.​

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Increased Performance

Fine-grained emotional insights at a low computational cost

Some of the world’s most successful companies, big & small, trust Opsis Emotion AI for innovation