Queso
Queso uses facial recognition to scan and sort family photos automatically. The technology identifies each child's face and organizes images into separate collections. Parents simply upload photos while the app handles categorization, saving valuable time previously spent on manual sorting and letting families focus on making memories.
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- About Project
- Features
- Process
- Project Overview
- UI Design
- Technologies
About Queso
Queso is built by parents for parents, which automatically organizes and privately shares their family photos with 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 children’s memories.
Core Features
Facial Recognition For Easy Recognition
Queso's facial recognition uses Apple's VisionKit and AWS Rekognition to detect and match child faces in photos effortlessly. Simplifies identification automatically.
Unique Timeline For Each Child
Creates personalized timelines for every child, organizing matched photos chronologically. Makes family memories easy to browse and cherish forever.
Automatically Sync Photos Taken By Partner
Seamlessly syncs photos captured by partners or co-parents across devices. Ensures no moment is missed in shared family albums.
Access Invite Parents Family
Invite parents and family members securely to view and share the child's timeline. Promotes collaborative family photo organization.
Our Process
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Project Overview
The Challenges
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.
The Solutions
Human face detection from the image
To 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 comparisons
To compare the images we have used AWSRekognition.
Image uploading on the AWS S3 server
To 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.
Mobile UI Design
Technology Stack
Amazon Rekognition
Android
AWS
iOS
ML
PHP
Amazon S3
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CEO - Polished
“I am highly satisfied with their work. Our collaboration is seamless, and we have regular discussions with their developers to define tasks and ensure progress. We were particularly impressed with their excellent communication skills.”
Founder - Screeners Berlin
“Our vision was understood and they asked really detailed questions to find out what was required. A well-defined process was followed during the development process and the team captured requirements diligently. The team is also flexible enough to adjust to the schedule.”
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