Face Recognition

　　The Face Recognition Company (FRC) claims to have developed the world's first ultra-accurate facial recognition security system, for commercial businesses. It's aimed at retail, to be installed at entrances to identify and alert about shoplifters on a watch-list, for example.

　　It's made up of multiple cameras, machine-learning algorithms and a mobile app for providing alerts and managing watch-lists, for use by store or security staff. In real-time, it can recognise faces that have been flagged previously, alerting security or management via the app.

　　According to the firm, current facial recognition systems typically access CCTV feeds, and are frequently complex, bespoke installations for national security, policing and big transport infrastructure.

　　Tim Noest, CEO, The Face Recognition Company says: Today's facial recognition algorithms are very accurate but can only be effective when they have an image of suitable quality and perspective. Grainy CCTV images or faces captured beyond a certain angle from the front view reduce the accuracy significantly. With our multi-view system, we are focused exclusively on capturing high-quality facial data, greatly increasing the chances of making a positive match.

　　人脸识别

　　人脸识别公司（FRC）声称已为商业企业开发了世界上第一个超精确的面部识别安全系统。例如，它针对零售业，改产品安装在入口处，用以监视、识别入店行窃者并向安全人员发出警报。

　　它由多个摄像头，机器学习算法和一个移动应用程序组成，用于提供警报和管理监视列表以供商店或安全人员使用。它可以实时识别以前标记过的面孔，并通过该应用来提醒或管理。

　　据该公司称，当前的面部识别系统一般是访问CCTV来进行识别，并且通常是为国家安全，警务和大型交通基础设施而定制的综合性安装。

　　该公司首席执行官蒂姆·诺斯特（Tim Noest）表示：“当今的面部识别算法非常精确，但只有当图像具有合适的质量和视角时才有效。从正面看超过特定角度捕获的粒状CCTV图像或面部会大大降低准确性。通过我们的多视图系统，我们专注于捕获高质量的面部数据，从而大大增加了进行正面匹配的机会。”