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CyberLink to showcase FaceMe AI Facial Recognition Engine at RetailNOW 2019

Published: Jul 17,2019

TAIPEI, Taiwan - CyberLink Corp. will be demonstrating AIoT solutions powered by FaceMe, the company’s award-winning facial recognition engine, at RetailNOW 2019. Facial recognition is transforming retail by enabling a whole new level of shopping customization, through traffic and visitor data analysis, dynamically updated ad displays, VIP customer identification and more. RetailNOW opens July 28, 2019 at the Henry B. Gonzalez Convention Center and CyberLink is located at booth #644.

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FaceMe is one of the world’s top facial recognition engines powered by deep neural network. Its high precision yields up to a 98.5% true acceptance rate (TAR) with a false acceptance rate (FAR) of less than 10-6 (0.000001). FaceMe provides excellent cross-platform capabilities that support Windows, Linux, Android and iOS for a variety of edge devices with different hardware configurations, such as digital signage, retail store cameras, CRM solutions, kiosks, access and security systems, and service robots. FaceMe’s facial recognition technology enables Smart Retail solutions to measure traffic and collect key demographic data to ultimately create a personalized shopping experience through precise analytics.

“FaceMe is a key enabler to re-invent brick and mortar retail into delivering a completely new, exciting and customized shopping experience,” said Dr. Jau Huang, CEO of CyberLink. “FaceMe’s advanced technology provides one of the world’s most precise, fastest and flexible edge-based facial recognition solutions for digital signage, collection of visitor statistics and personalized shopping. It can help deliver a unique experience to each visitor.”

At RetailNOW 2019, CyberLink will demonstrate Smart Retail solutions powered by FaceMe. By implementing FaceMe on digital signage and kiosks, stores can detect customers’ gender, age, emotions and more. Facial detection can help retailers track who enters and leaves a store, calculate the time spent in the store and even identify VIP customers.

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