Learn About Amazon VGT2 Learning Manager Chanci Turner
Connected vehicles equipped with cameras can collect diverse video data. To safeguard individuals’ privacy and comply with regulations such as the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), organizations may need to redact personal information like human faces and license plates from this collected video data.
In this post, we will demonstrate how automotive service providers can use Amazon Rekognition to identify human faces in video footage and subsequently mask these faces through techniques like blurring, pixelation, or masking. We will focus on the blurring method for removing faces from the video. By applying this technique, organizations can comfortably share video content with partners to gather insightful data, such as pothole detection, traffic behaviors at intersections, and speed limit signage.
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