Next Generation Kindergarten Management

Real-time attendance monitoring system for complete peace of mind

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Smart Recognition

AI-powered facial recognition for instant check-in

Real-time Updates

Stay informed with instant notifications

Advanced Security

Enterprise-grade security for your peace of mind

Features You'll Love

Designed with parents and kindergartens in mind

Real-time Updates

Real-time Updates

Instant notifications when your child arrives and leaves kindergarten

Empower Teachers

Empower Teachers

Less administrative burden for teachers, allowing them to focus on teaching

Parent-Teacher Connection

Parent-Teacher Connection

Stay connected with teachers and track your child's daily activities

24/7 Monitoring

24/7 Monitoring

Round-the-clock monitoring with instant alerts for any unusual activity

Powered by Advanced
AI

Our technology ensures reliable and secure monitoring

// Real-time attendance tracking
                  const student = await monitor.scan({
                    id: "STD123",
                    time: new Date(),
                    location: "Main Entrance"
                  });

                  // Send instant notification
                  await notify.send({
                    type: "ENTRY",
                    to: student.parents,
                    message: "Amy has arrived safely!"
                  });
99.9%
Recognition Accuracy
<1s
Processing Time
100+
Schools Trust Us
24/7
Monitoring

API First

Microservice Architecture

REST API

Secure endpoints for seamless integration

Webhooks

Real-time event notifications through email

Fully Cloud

Data are securedly stored in AWS Cloud Storage

Face Recognition Flow

Camera
Wolf Logo
AWS S3
AWS RDS
Snowflake

Notification System

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Monitor your children with our AI-powered portal

Experience peace of mind with real-time monitoring, instant notifications, and advanced facial recognition technology. Our secure platform helps you stay connected with your child's daily activities while ensuring their safety at every moment. Join hundreds of satisfied parents and schools who trust us with their most precious ones.

Technical Implementation

Computer Vision & Deep Learning Pipeline

Custom-trained Siamese Neural Network for facial recognition, comparing uploaded student photos from S3 storage with real-time camera feeds. Achieved reliable student attendance verification through dual-input architecture and contrastive loss optimization.

Scalable Data Architecture

Designed a robust data pipeline using AWS S3 for raw image storage, RDS for metadata management, and Snowflake for analytics. Implemented data versioning and automated ETL processes.

System Performance

Optimized inference time to <100ms using model quantization and ONNX runtime. Implemented load balancing and caching strategies for handling concurrent user requests.

Technical Implementation

Built with Next.js 14, TypeScript, and TailwindCSS for the frontend. Leveraged AWS Lambda for serverless compute, implemented CI/CD with GitHub Actions, and maintained 90%+ test coverage.

Future Partnerships & Collaboration

KPM
KPWKM
KPT
MOSTI
UPM
Smart Reader
kemas
Persatuan Tadika Malaysia

Frequently Asked Questions

Everything you need to know about our attendance monitoring system. Can't find what you're looking for? Contact us