Applying AI to revolutionize retail Customer Experience, OOH advertising and Security in Industry 4.0
Join us NOW!
Enhance Retail Customer Experience from insightful statistics
By implementing an advanced AI camera system, EyeQ enables coffee shops, restaurants and retail outlets to:
Get statistics of customers base on genders, age, emotion, number of visits by facial analysis
Match faces to outlets' customer database. Every individual of customer database will have face records of his or her visit history
Get notified of return customers instantly
Welcome return customers at entrance to create personal connections them
Retargeting offline ads screens
By integrating smart AI camera modules into advertising screens, EyeQ enables ads screen companies to:
Count number of people looking at ads screens and generate insights of gender, age, emotion, appearance
Calculate Cost Per Impression (CPI) and evaluate ads screens effectiveness
Real-time ads switching for attracted viewers
Large-scale offline personalized advertisement
Security in Industry 4.0
Absolute safety for your environments
Applying Deep Learning in Face Recognition, EyeQ conducts real-time video analytics to enable:
24/7 face tracking system
Locating suspicious targets in blacklist
Real-time warning and alarm to eliminate threats
Compatibility: Our software can be easily embedded with current environment's hardware - camera system
Tung Le, PhD
Graduated from the doctoral program at the University of New South Wales, one of the Top 100 programs in Computer Science. With deep knowledge of big data, Dr. Tung desires to create intelligent and innovative products offering high quality.
Graduated with a degree specialized in Software Engineering. Yet, Mr. Duy decided to make a career change towards Mobile App UI Design to pursue his childhood passion of drawing. He believed that a good product is the interface between technology and art.
Tuan Thi received his PhD degree in Computer Science in the areas of Computer Vision and Machine Learning. He has been working for Canon, Placemeter and TripAdvisor on camera analytics, virtual reality and recommender system. He owns more than 10 peer-reviewed publications and several patents in Deep Learning and Video Analytics.