- Services
- Solutions
- Industry
- Industry We Serve
Get your project started with expert developers
- Hire Developers
- Portfolio
Get your project started with expert developers
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.
Request a Consultation
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.
Queso's facial recognition uses Apple's VisionKit and AWS Rekognition to detect and match child faces in photos effortlessly. Simplifies identification automatically.
Creates personalized timelines for every child, organizing matched photos chronologically. Makes family memories easy to browse and cherish forever.
Seamlessly syncs photos captured by partners or co-parents across devices. Ensures no moment is missed in shared family albums.
Invite parents and family members securely to view and share the child's timeline. Promotes collaborative family photo organization.
Go beyond ordinary web or mobile solutions for sustainable success with MultiQoS. Leverage our expertise and experience to build tailored innovative IT solutions and services that will shape your digital future.
Connect with Our Team
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 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.
Trusted by Our Clients
Clients praising us for our work is a true reflection of the amazing work that we have done with heart and soul to pave the way for their success.
“It's rewarding to work with a diligent and dedicated team. Excellent guys to work with! Always listened to my thoughts and came up with creative design solutions. Whenever you need them, they are available and eager to share their knowledge.”
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.”
CEO - Gameday Guide
Our Blog
Keep up with the fast-paced world of technology through our expert research on current trends and innovations.
