Archive · 23 Jan 2026
AI Video Analytics Enhances School Safety
Rahamath Mohamed Razikh Ulla and his team created a special computer program to help schools keep students safe.
This program uses cameras and smart technology to watch for things like strangers on campus, too many people in one place, and cars in parking areas.
The team made sure the program was easy to use, even for people who aren't tech experts.
They also made it so schools can get started quickly and easily.
The program has been well-received by schools and is now being used to help keep campuses safe.
Rahamath Mohamed Razikh Ulla led the development of an AI-powered school safety video analytics platform.
The solution addresses key school safety needs like trespassing detection and student counting.
The platform features a user-friendly interface designed for non-technical school staff.
The team used a microservices-based architecture for scalability and easy deployment.
The product was developed and launched in just four months by a small team.
- Who
- Rahamath Mohamed Razikh Ulla and his team
- What
- Developed a school safety video analytics platform
- When
- Not specified
- Where
- At a leading technology organization
- Why
- To enhance campus security with AI-powered monitoring
- Key Contributor
- Rahamath Mohamed Razikh Ulla
- Core Capabilities
- Trespassing detection, after-hours notifications, student counting, object/people identification, vehicle monitoring, foot-traffic analysis
- Design Principles
- Simple, Useful, Intuitive, Innovative
- Development Time
- 4 months
- Team Size
- 4 engineers
- Architectural Approach
- Microservices-based, container automation, CI/CD pipeline improvements
- User Roles
- Admin, Operator