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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

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中文摘要
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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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  • 负责人:
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