Aegis Safety, a technology-driven organization focused on intelligent surveillance solutions partnered with Oodles to build an AI-powered monitoring system for people and vehicle counting. The requirement emphasized accurate detection, real-time insights, and multi-tenant scalability. A robust web platform with trained AI models and backend services was developed to enable efficient monitoring and deployment.

The client sought Oodles to address the need for automated monitoring and scalable organization-level access control. The goal was to develop an AI-based system for detecting and counting people and vehicles with a multi-tenant structure. Key areas of work included AI model development, web app creation, backend API development, and deployment setup to ensure accuracy and scalability.

The system combined intelligent models with a robust web interface to deliver accurate and efficient monitoring capabilities.

Key features include:

• AI-Based Detection Models: Developed and trained datasets for accurate people and vehicle counting
• Multi-Tenant Architecture: Enabled organization-level data isolation and role-based access control
• Web Application Interface: Built an intuitive dashboard for monitoring, reporting, and system control
• Backend Service APIs: Developed secure APIs to manage data flow, processing, and integrations
• Real-Time Analytics & Reporting: Provided actionable insights through live tracking and data visualization
• Deployment & Production Setup: Managed end-to-end deployment on backend and production server.