智能数字标牌 : 观众表情分析
ART/166CP
20131231 - 20150629
10575
蔡振荣博士
A. Human expression recognition and analysis algorithm development (1) Static human Face expression recognition and analysis (a) 6 fundamental human expressions recognition for still image: Happiness, Sadness, Fear, Anger, Disgust and Surprise (b) > 80% accuracy (2) Dynamic human Face expression/emotion Analysis (a) Human emotion analysis for video sequence (b) > 80% accuracy B. Smart Digital Signage (1) Thin high-brightness LED backlight for digital signage (a) LED light-bar with 2nd optical lens for high-brightness backlight (>1500nit) with 40% light mixing distance reduction (b) Brightness: ≥1500 nits Tiled (2*2) LCD Size: ≥100”. (c) High resolution ambient adaptive power management (Power saving >50%) (2) 3D gesture recognition algorithm development for digital signage (a) Detection distance: 1 - 3 m (b) Detection functions: track and recognize a single user: gestures including clicking, dragging, sliding, rotating, enlarging and shrinking 3D objects (3) User ID verification by face recognition for digital signage (a) < 2% false accept rate; <3% false reject rate (b) Fixed acquisition/testing condition (angle, illumination, expression and decoration) C. Integrated Audience Analysis System (1) Low-cost Intelligent Audience Analysis (IAA) (a) People counting and watch time recording (b) > 90% accuracy (2) High performance version (a) > 90% accuracy in people counting and watch time recording (b) > 80% accuracy in expression, age and gender classification (c) Near-frontal-view face (left-right:30 degree). (d) Detection Distance: Face Detection and Tracking: 0.3~6m, Age , Gender and expression:1~3m.
Dr Enboa WU
Ms Ying, Anna LIU
Mr Kin Lung, Kenny CHAN
Dr Xiu Ling ZHU
Dr Zhao, Fiona Wang
Mr Chang-Li WU
Dr Chi Yong
Mr Yuk lung, Alex Cheung
Mr Wei-Ping Tang
Ms Wei, Wendy Zhang
Dr Yan Wang
Mr Derek Dehua Liu
Dr Xueyan TANG
Mr Chun Yip Wong
Mr Chan Kwok Chung
Mr Dennis Chi Kin Wong
Mr Wai Kin Luk
Mr Pei Chin Ryan Chung
Mr Weiwen, Wilman Zou
Mr Hui Hu
Mr Haocheng Han
Dr Mi Suen Lee
Ms Jie, Fiona Lu
Dr Jie Kou
Mr Guanghua Huang
Chinese Academy of Science (CAS)
香港荣立科技有限公司
HK Ronglee Technology Limited (Technology Licensing) [赞助机构]
深圳穗晶光电有限公司 [赞助机构]
The University of Nottingham
震威电子有限公司
芜湖锐拓电子有限公司 [赞助机构]
根据市场调查分析报告显示全球的电子广告业(digital advertising) 已经步入了飞速发展的阶段。现时的广告行业仍然采用传统方式，单向传递资讯给用户，而忽视了用户的讯息、反馈与互动。如果能够实现传递给用户感兴趣的资讯，智慧数字标牌将会跨入一个崭新的发展阶段，然而目前的市场中并没有成熟的智慧数字标牌的产品。 因此本项目主要目的在於开发的新一代智慧数字标牌技术与产品。为开发此智能数字标牌技术与产品，本项目将专注下列技术平臺的开发，包括(1). 观众表情识别: 通过检测用户的面部表情,进行观众喜好分析及或进一步提供用户感兴趣的资讯; (2). 非接触式手势互动控制: 让用户通过触摸和远: 程手势两种方式来控制显示资讯; (3). 整合嵌入观众分析系统: 整合人脸识别、关注程度、年龄、性别及表情喜好分析系统及根据产品需求开发适合嵌入式模组。