Queso is built by parents for parents which automatically organizes and privately shares their family photos with invited guests. This App allows parent users to pass down photo libraries seamlessly to their children and saves parents lots of time and effort to manage their child’s memories.
This feature enables capturing and scanning of children's pictures, along with editing and enhancing images. The latest technology is used for digital storage and sharing of the images.
This feature makes it easy to generate accurate timelines with just a few clicks. Streamline your workflow and enjoy newfound efficiency with this game-changing feature!
If the app detects the human face from selected local images then only it should go for further scanning.
To sync the child for the selected image we need to compare the selected image with the child's profile image for image matching.
Multiple image uploading on the S3 server if the picture is matched with the specific child in the background
Human face detection from the imageTo Detect the human face from the image we have used the VisionKit. This SDK provides VNDetect Face Rectangle Request and VNImage Request Handler APIs for face detection.
Two image comparisonsTo compare the images we have used AWSRekognition.
Image uploading on the AWS S3 serverTo upload the images to the AWS S3 server we have used the AWSS3 SDK which provides the AWSS3TransferUtility API to upload images on the S3 server.
Save the Happiness Memory
Share the Experience with Friends
Empowering the Next Generation: Collaborating with Parents to Transform Childhood Career Development"
Amazon Rekognition
Android
AWS
iOS
ML
Php
InApp Purchase
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