AWS Rekognition Support
Blitline has added support for Amazons Rekognition Service. Through AWS Rekognition you get get valuable information about faces and items inside an image.
AWS REKOGNITION:
AWS Rekognition is able to identify (with a certain percent of accuracy) the items that are present inside an image
http://docs.aws.amazon.com/rekognition/latest/dg/detect-labels-console.html
AWS Rekognition is also able to identify faces as well as information about the faces that are present in a image.
http://docs.aws.amazon.com/rekognition/latest/dg/detect-faces-console.html
You can get this information from your Blitline processed images simply by adding "detect_faces" or "detect_labels" to your base JSON.
The resulting JSON will contain the metadata from AWS about those images.
PRICING:
Blitline will add +10 seconds(regardless of actual processing time) onto any job that uses the "detect_faces" or "detect_labels" option in the json (or 20 seconds for BOTH). So, for example if your blitline job would typically take 2 seconds, but you addedĀ "detect_labels": true, it would now be billed at 2+10=12 seconds (even though it only took 2 seconds to process).
How Do I Use It?
Just addĀ ādetect_labelsā orĀ ādetect_facesā to your base JSON, and the resultingĀ āoriginal_metadataā will contain theĀ ādetect_labelsā orĀ ādetect_facesā JSON returned by AWS Rekognition.
{ Ā "application_id": "YOUR_APP_ID", Ā "src": "https://s3.amazonaws.com/img.blitline/skysmall.jpg", Ā "v": 1.22, Ā "detect_labels": true, Ā "functions": [{ Ā Ā Ā "name": "resize_to_fit", Ā Ā Ā "params": { Ā Ā Ā Ā Ā "width": 400 Ā }, Ā "save": { Ā Ā Ā "save_profiles": true, Ā Ā Ā "image_identifier": "MY_CLIENT_ID" Ā } Ā }] }
Check out our Documentation Wiki here:
http://docs.blitline.com/articles/aws_rekognition.html














