Amazon Rekognition
Automate and lower the cost of your image recognition and video analysis with machine learning
Amazon Rekognition
Amazon Rekognition offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos.
Features such as face compare and search, content moderation, text detection, and automatic labelling, can automate the tedious and time-consuming task of analysing images and videos, using AI to augment human review tasks and gain efficiencies. Some example use cases are outlined below:
Detect Inappropriate content
Amazon Rekognition Content Moderation automates and streamlines your image and video moderation workflows using machine learning (ML), without requiring ML experience.
Process millions of images and videos efficiently while detecting inappropriate or unwanted, with fully managed APIs and customizable moderation rules to keep users safe and the business compliant.
Streamline media analysis
Automatically detect key video segments to reduce the time, effort, and costs of video ad insertion, content operations, and content production.
Verify Identity Online
Use facial comparison and analysis in your user onboarding and authentication workflows to remotely verify the identity of opted-in users.
Rekognition in our work
Softwire integrated Rekognition into an automatic-transcription tool for a client, as a proof-of-concept to demonstrate the capabilities of the service.
We integrated a feature to directly scan content from their existing web application, to analyse content using the following Rekognition features: label detection (including some used for moderating content), face detection and search, person search, celebrity identification, segment analysis, and text detection and extraction. Custom label integration was also performed for static image content.
Our insights
Talk 1-1 with a consultant
Book a call with one of our consultants to discuss your challenges.