在Grab的图像中保护个人数据

A few years ago, we realised a strong demand to better understand the streets where our driver-partners and consumers go, with the purpose to better fulfil their needs and also, to quickly adapt ourselves to the rapidly changing environment in the Southeast Asian cities.

几年前，我们意识到一个强烈的需求，即更好地了解我们的司机伙伴和消费者所去的街道，目的是为了更好地满足他们的需求，同时也是为了迅速适应东南亚城市快速变化的环境。

One way to fulfil that demand was to create an image collection platform named KartaView which is Grab Geo’s platform for geotagged imagery. It empowers collection, indexing, storage, retrieval of imagery, and map data extraction.

满足这一需求的方法之一是创建一个名为KartaView的图像收集平台，这是Grab Geo的地理标记图像平台。它使图像的收集、索引、存储、检索和地图数据提取成为可能。

KartaView is a public, partially open-sourced product, used both internally and externally by the OpenStreetMap community and other users. As of 2021, KartaView has public imagery in over 100 countries with various coverage degrees, and 60+ cities of Southeast Asia. Check it out at here.

KartaView是一个公开的、部分开源的产品，由OpenStreetMap社区和其他用户在内部和外部使用。截至2021年，KartaView在100多个国家拥有不同覆盖程度的公共图像，以及东南亚60多个城市。请在这里查看。

Figure 1 - KartaView platform

图1 - KartaView平台

Incidentally, many people and licence plates are in the collected images, whose privacy is a serious concern. We deeply respect all of them and consequently, we are using image obfuscation as the most effective anonymisation method for ensuring privacy protection.

顺便说一下，许多人和车牌都在收集的图像中，他们的隐私是一个严重的问题。我们深深地尊重他们所有人，因此，我们使用图像混淆作为最有效的匿名化方法来确保隐私保护。

Because manually annotating the regions in the picture where faces and licence plates are located is impractical, this problem should be solved using machine learning and engineering techniques. Hence we detect and blur all faces and licence plates which could be considered as personal data.

由于手动标注图片中人脸和车牌所在的区域是不现实的，这个问题应该用机器学习和工程技术来解决。因此，我们检测并模糊了所有可被视为个人数据的人脸和车牌。

Figure 2 - Sample blurred picture

图2 - 模糊的图片样本

In our case, we have a wide range of picture types: regular planar, very wide and 360 pictures in equirectangular format collected with 360 cameras. Also, because we are collec...