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Obfuscation of identifying features on patient videos and photos

Obfuscation of identifying features on patient videos and photos
患者视频和照片上识别特征的混淆
批准号:
485926-2015
负责人:
Laganière, Robert
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

项目摘要

项目成果

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中文摘要
翻译
该项目包括开发一种移动应用程序,该应用程序将具有自动检测图像或视频中的面部、耳朵和纹身等识别信息的能力。一旦被识别,就向用户显示感兴趣的区域,以允许运行自动混淆算法,从而使媒体不再被绑定到个人。该软件解决方案将使用一个机器学习组件,该组件经过训练后可以检测人脸,可能还会检测Tatoo。这个应用的市场是卫生部门的每个专业人员,他们需要以安全的方式在他们之间共享媒体。
英文摘要
The project consist in the development of a mobile applications that will have the ability to automatically detect identifying information such as faces, ears and tattoos in an image or a video. Once identified, the user is shown the region of interest to allow for an automated obfuscation algorithm to run so that the media can no longer be tied to an individual. The software solution will use a machine learning component trained to detect faces and possibly tatoos. The market for this application is every professional in the health sector who needs to share media between them in a secure manner.
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Vulnerable Road Users detection from LiDar data
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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