OpsisStrictly Confidential – No distribution and reproduction without OPSIS consent

Opsis Emotion A.I.We transform machines to Senseand React to Human Emotions

2OPSIS

Spin-off from A*STAR / ADSC

Millions have been invested with over 5 years of R&D (MedTech Project)

4 International awards winning technology (Proven accuracy of 93% vs 70%)

Company Overview OPSIS

Opsis specialize in Emotion Recognition AI using Psychology Circumplex model

3OPSIS

• We are a leading provider for facial expression analysis and emotion recognition. Using advanced image processing and computer vision algorithms with close to a million psychometric trained data

• The strength of our algorithms lies in distinguishing subtle expressions and providing fine-grained emotional insights at a low computational cost with Real time Emotion analysis for immediate intervention base on Thousand of moods detected

Company Description

4OPSIS

SDKAPP Raspberry Pi / PCB Cloud Service

• Only one in the world using psychology circumplex model with 2 Dimensions subtle expressions analysis

• Real-time processing and analysis for Individual and large group emotional state. Only single expression from competitors

• Technology accounts for ethnicity and cultural differences with high accuracy especially in negative expression

We have developed the following platform for easy deployment

Unique Proposition vs Competitors

5OPSIS

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Challenges of Facial Emotion RecognitionProblem 1 : Most of the time people are neutral, exhibiting very subtle expressions especially Asian

Problem 2: People exhibit non-basic or discrete complex expressions. A single label cannot reflect this complexity

Problem 3: Binary insights for the 7 basic emotions make no sense in many situations with Limited explanatory

Opsis Approach vs Competitors

Surprised Sad Afraid Neutral Disgusted Angry Happyvs

Neutral NeutralDoes these 2 expressions Does the 7 basic label

make sense ?looks Neutral ?

5%% SURPRISED

11%ANGRY

41%NEUTRAL

17%SAD

4%% AFRAID

3%% DISGUSTED

19%HAPPY

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Covid problem we want to SolveNon-intrusive Emotion Analysis for Home Base Learning, TeleHealth, Training and Recruitment

Adaptive Learning Content, curricula developed with emotion data as control mechanism

Online Students group emotion for educators metrics, emotional state of students and adjust teaching

Thousand of mood detection with interactive responds for clinicians / consultors

Real time emotion detection for Mental health, Elderly care Via Remote Telehealth platform

Online Recruitment Psychometric evaluation

Discover and interpret the emotional state of patients / candidates on devices and apps

Insights on teaching content receptiveness, identify if students are confuse, stress, bored, etc

Opsis Emotion A.I

Enlarge behavioral cues on situational training, online training and cognition skill development

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Tele-Platform >

Teachers

Counsellors

Volunteers

Trainers

Recruiters

Clinicians

Real time Emotion Analysis for

Immediate Intervention

Thousands of Mood

Detection with Interactive Responds

People need it !

Doctors

Managers

8OPSIS

Accolades: 1st place in the OMG Emotion Behaviour Challenge 20182nd place in EmotiW2016 competition (ICMI)3rd place in EmotiW2015 competition (ICMI)2nd place in Grand Challenge Competition (ACM Multimedia 2012)

“Opsis has developed software solutions for facial expression

analysis and emotion recognition using artificial intelligence.

It has potential for wide-ranging applications for robotics,

education, video communication and more…“

- Deputy Prime Minister, Heng Swee Keat

“Technology can also be used to improve the commerce

experience! This booth (Opsis) demonstrated how a

potential customer’s facial expressions can be ‘read’ by

technology, to gauge their interest , dislike or stress."

Prime Minister, Lee Hsien Loong

Highest Accuracy: 93% accuracy vs industry 70%

9OPSIS

Team

Mr. Andrew Ow has 20+ years of experience in roles covering business development, marketing, operations and management in the Infocomm technology industry. He started an SBO business in 1999 and sold the company 5 years later. His background includes regional partnerships with Telcos, system integrators, distributors, OEMs and independent software vendors. He also has chaired many volunteer committees in Singapore.

Prof. Lee Yee Hui received the B.Eng. degree and the M.Eng. degree from Nanyang Technological University, Singapore, and the Ph.D. degree from University of York, England, in 1996, 1998 and 2002, respectively. All degrees are in electronic engineering. She joined the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU) as an Assistant Professor in 2002. She is currently with the Communication Engineering Division. She is a member of the Institute for Electrical and Electronic Engineers (IEEE).

Dr. Scoot Wong is a qualified Doctor (MBChB) in ICU and Frontline doctor in COVID-19 pandemic, serving in wards, emergency department, community care facility and dormitories.-Singapore-Stanford Biodesignfellow 2018 (SSB8)-Familiarity with regulatory in digital health, with direct involvement in creation of Telemedine Sandbox (MOH), and HCSA bills-Experience in running machine learning designing mobile healthcare clinics and telehealth clinics. - Invent Covid Buddy which is feature in The StriatsTimesPublished May 25, 2020, ingHealthNewsletter, radio and Meidcorp

Prof. Stefan Winkler is an established research leader and entrepreneur with 20+ years of experience. He co-founded two companies with a focus on video analytics (Genista and Opsis). He is an IEEE Fellow and holds a Ph.D. degree from the Ecole Polytechnique Federale de Lausanne, Switzerland, as well as a M.Eng./B.Eng. degree from the Technical University of Vienna, Austria. His expertise includes image & video processing, computer vision, machine learning, human-computer interaction, user experience, and perception modelling. He has published over 120 scientific papers

Prof. Winter Nie is a Professor of Management at IMD. She is the regional director of IMD Southeast Asia and Oceania.Dr. Nie’s areas of research interest are service management (such as customer focused organization, service excellence, and transformation from products to solutions), low cost competition, and extended supply chain. She has provided training programs for and consulted with companies in pharmaceutical, telecommunications, automotive, food and beverage, machinery, clothing and fashion, and electronics industries as well as financial and professional services.

10OPSIS

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ithout OPSIS consent

10OPSIS

Data = Fuel

A.I. = Rocket Ship

We are at the beginning of this revolutionary journey

Thank YouPlease visit our video introduction

https://youtu.be/vgEvTITVOJQ

https://youtu.be/LcY7_mTgooc

https://youtu.be/DkDK4JqfFZ4

https://youtu.be/Uzs5M6iALVQ

https://youtu.be/V3OOoNoDwC4

http://www.opsis.sginfo@opsis.sg

https://youtu.be/vgEvTITVOJQhttps://youtu.be/DkDK4JqfFZ4https://youtu.be/Uzs5M6iALVQhttps://youtu.be/V3OOoNoDwC4http://www.opsis.sg/

Opsis Emotion A.I.��We transform machines to Sense and React to Human Emotions�Slide Number 2Slide Number 3Slide Number 4Slide Number 5Covid problem we want to SolveTele-Platform > Slide Number 8Slide Number 9Slide Number 10