Tsikuri
Computer vision and facial recognition for smart educational security and monitoring.
Industry
Education
Services
AI, Computer Vision, Web Development
Timeline
5 months
Year
2024
Student monitoring without proper technology
Educational institutions needed a comprehensive system to monitor attendance, detect emotions, and ensure student safety in real-time. Manual processes were slow, error-prone, and didn't provide actionable insights to improve the educational experience.
Main dashboard — KinderEstrella. Modules: Students, Classroom, Group Attendance, Assign Activities, Chat, Announcements. Nav: Calendar, Assign, Menu, Chat, More
My Students — 27 enrolled students in Preescolar 2A. Searchable directory with color-coded initials avatar and assigned classroom per student
Comprehensive computer vision platform
We developed a comprehensive platform with facial recognition for automatic check-in, AI-powered emotion detection for student wellness monitoring, automated daily reports for parents, real-time analytics dashboard, alert system, and payment and communication management.
Facial recognition onboarding — "Hi Camila González García, our AI detected we are missing to register the kid's face." Buttons: Camera, Photos. Automatic AI-powered check-in system
Model training and field validation
We trained facial recognition and emotion detection models using TensorFlow, validating them in real educational environments. We iterated on system accuracy and built analytics dashboards based on the actual needs of school administrators.
Student profile — Camila González García, 4 years 6 months, Preescolar 2A. Fields: Name, Gender, Registration Date, Contact, Age, Birthdate, Family Number 85, Classroom, Allergies
The Results
Numbers that matter
99%
Check-in accuracy
Real-time
Emotion detection
70%
Less admin burden