01
Client Profile & Background
A large-scale manufacturing company in Bekasi, Indonesia, operates a 50-hectare facility with multiple production lines, warehouses, and administrative buildings. The company employs over 5,000 workers and runs 24/7 operations, requiring constant surveillance to ensure safety, security, and operational efficiency. The existing CCTV system consisted of analog cameras with DVRs, providing low-resolution footage and limited storage capacity. The company also faced challenges in monitoring remote areas and integrating video data with other security systems such as access control and fire alarms.
As part of a digital transformation initiative, the company aimed to upgrade to a centralized CCTV Command Center that could support high-definition video, advanced analytics, and long-term retention. The goal was to improve incident response times, reduce theft, and enhance overall situational awareness. The project required a solution that could scale to accommodate future expansion and comply with industry regulations for data security and privacy.
02
Technical Challenge
The primary technical challenge was the existing system's inability to handle the required bandwidth and storage for 4K cameras. With 500 cameras planned, the network needed to support over 20 Gbps of sustained throughput, while storage requirements exceeded 1 PB for 30-day retention. The analog infrastructure caused latency and packet loss, leading to dropped frames and unreliable footage. Additionally, the system experienced 12-hour backup failures due to insufficient redundancy, resulting in data loss during critical incidents.
Another major issue was the lack of integration between CCTV and other security systems. The company needed a unified platform that could correlate video feeds with access control logs and alarm events. The legacy system also lacked AI capabilities, making it impossible to automatically detect anomalies such as unauthorized access or equipment malfunctions. The company required a solution that could provide real-time alerts and reduce manual monitoring efforts.
03
Implemented Solution
We deployed a comprehensive CCTV Command Center solution based on Synology NVRs with 48-bay expansion units, configured in a high-availability cluster for redundancy. Each NVR supports up to 100 cameras with 4K resolution, using H.265 compression to minimize bandwidth and storage. The network backbone was upgraded with Cisco Catalyst 9300 switches providing 10GbE uplinks, and Fortinet FortiGate 600F firewalls for segmentation and threat prevention. For backup and disaster recovery, we integrated Veeam Backup & Replication to replicate video data to a secondary site with a 1-hour RPO.
The command center software includes AI analytics from Lenovo ThinkSystem servers running GPU-accelerated inference engines. Features include people counting, vehicle tracking, and heat mapping. The system also integrates with Cyber Security tools for video data encryption and access control. All components are managed via a centralized dashboard, providing real-time health monitoring and automated failover. The solution was deployed in phases to minimize disruption, with full migration completed within 8 weeks.
04
Results & ROI
Post-implementation, the company achieved 99.99% uptime for the CCTV system, with zero data loss during backup windows. The RPO was reduced from 24 hours to 1 hour, and RTO decreased to 15 minutes. The new infrastructure supports 500 cameras at 4K resolution with 30-day retention, using 80% less storage compared to the previous H.264 system. AI analytics reduced false alarms by 70%, and incident response time improved from 10 minutes to under 2 minutes.
The company reported a 25% reduction in theft incidents within the first quarter, and operational efficiency gains from automated monitoring. The total cost of ownership was 30% lower than the legacy system due to reduced maintenance and energy consumption. The scalable architecture allows for easy addition of 100 more cameras without major upgrades. The integration with HCI and Hybrid Cloud solutions also enabled future expansion into cloud-based video analytics and remote monitoring.
