AI-Powered Video Analytics CMS for Multi-Site Fuel Station Network
An enterprise-grade intelligent video feed analytics platform with content management system for a nationwide fuel station network. Led development of the complete CMS platform, infrastructure architecture, and network topology integrating third-party AI/ML video analytics with digital signage infrastructure. Deployed across multiple sites with L3VPN connectivity and OSPF multi-site peering, featuring real-time video processing orchestration, centralized content management, and automated media distribution to outdoor digital displays.
Project Gallery
Visual workflow editor for AI/ML video analytics pipeline configuration
Adiout CMS management dashboard showing worker nodes, cameras, and real-time monitoring
Outdoor digital signage display showing promotional content at fuel station
SIWAT SYSTEM branded content delivery interface on digital display
Live advertising content on outdoor media player at fuel dispenser
Edge processing node with PTP timecode synchronization and light ML workload processing to reduce upstream bandwidth
Partnership with Adsist Innovation
This project was developed in collaboration with Adsist Innovation (adsist.net), combining expertise in AI/ML video analytics, content management systems, and enterprise network infrastructure to deliver a comprehensive solution for nationwide fuel station operations.
Technical Architecture & Leadership
Lead Programmer & Infrastructure Architect: Led the complete CMS platform development, designed the camera infrastructure topology, managed media player deployment architecture, and architected the L3VPN network with OSPF multi-site peering for nationwide connectivity. Developed the orchestration layer integrating third-party AI/ML analytics models with the infrastructure.
AI/ML Infrastructure Management: Managed all AI/ML server hardware and infrastructure for the company, including deployment, configuration, and ongoing operations to support third-party analytics model execution.
Video Analytics Infrastructure
- • Real-time video feed processing orchestration
- • Integration layer for third-party AI/ML analytics models
- • Multi-camera IP infrastructure design and deployment
- • Centralized video management system
- • Pipeline automation for analytics workflow
Content Management System
- • Custom CMS platform development and programming
- • Centralized content distribution architecture
- • Automated scheduling and delivery system
- • Multi-site media player management
- • Real-time content updates and synchronization
Network Infrastructure Design
L3VPN Multi-Site Topology
Designed and implemented L3VPN architecture connecting multiple fuel station sites with secure, isolated network segments for video, management, and content distribution traffic.
OSPF Multi-Site Peering
Configured OSPF routing protocol for dynamic reachability and failover across all sites, ensuring reliable connectivity for real-time video analytics and content delivery.
AI/ML Server Infrastructure
Managed complete AI/ML server hardware infrastructure including deployment, configuration, resource optimization, and ongoing operational management to support third-party analytics model execution and video processing workloads.
Key Features
Project Impact & Results
Successfully deployed an enterprise AI-powered video analytics and digital signage platform across a nationwide fuel station network. The system provides real-time video analytics capabilities, centralized content management, and automated media distribution to outdoor displays at multiple locations. Built in collaboration with Adsist Innovation (adsist.net), the solution combines advanced video processing with robust network infrastructure using L3VPN and OSPF for reliable multi-site connectivity.
Technical Highlights
Technology Stack
Key Responsibilities
- CMS platform programming and development
- Camera infrastructure design and deployment
- Media player infrastructure architecture
- L3VPN network topology design
- OSPF multi-site peering configuration
- AI/ML server infrastructure management
Need AI/ML Video Analytics Solutions?
Contact us to discuss intelligent video analytics platforms, content management systems, and enterprise network infrastructure for multi-site deployments.
Contact Us