Amazon Rekognition Computer Vision Workflows
Unified computer vision workflows combining image analysis, facial recognition, content moderation, and identity verification capabilities for developers and security teams.
What You Can Do
MCP Tools
detect-image-labels
Detect objects, scenes, and concepts in an image using Amazon Rekognition
detect-faces
Detect faces in an image and return facial attributes including age range, emotions, and smile
compare-faces
Compare a face in a source image with faces in a target image for identity verification
detect-text-in-image
Detect and extract printed and handwritten text from an image
moderate-image-content
Detect explicit, inappropriate, or violent content in an image for content moderation
recognize-celebrities
Identify celebrities in an image and return names and reference URLs
detect-custom-labels
Detect custom labels in an image using a trained Amazon Rekognition Custom Labels model
create-face-collection
Create a new face collection for storing and indexing face data
list-face-collections
List all face collections in the AWS account
index-faces-in-collection
Index faces from an image into a face collection for future searching
search-faces-by-image
Search a face collection for faces matching a provided image
create-liveness-session
Create a face liveness verification session to confirm a user is physically present
get-liveness-results
Get the confidence score and status from a face liveness verification session
start-video-label-detection
Start asynchronous detection of labels in a video stored in Amazon S3
get-video-label-detection-results
Get the results of an asynchronous video label detection job