Client profile

Canan Kağıt is a Turkish paper manufacturer specializing in MG (Machine Glazed) paper production. The company’s modern production operation combines advanced manufacturing technologies with a strong focus on quality, operational efficiency, and sustainability. The facility is located in Tarsus, Mersin, and operates as an industrial production environment with multiple operational areas and valuable infrastructure, making reliable video surveillance an important part of site security and safe operations.

Project background

Canan Kağıt wanted to expand the capabilities of its existing CCTV infrastructure with intelligent video analytics, while maximizing the value of the cameras already in place. The project focused on strengthening intrusion protection and improving fire and smoke detection, particularly in open areas where conventional physical detectors can be difficult to install.

Solution

TRASSIR upgraded the existing surveillance infrastructure by adding AI-powered video analytics without replacing the installed cameras.

The solution included:

    • NeuroStation 8800R/128
    • AnyIP licenses
    • Neuro Detectors
    • Neuro Fire and Smoke Detectors

TRASSIR Neuro Detector provides intelligent intrusion detection in defined areas, helping operators identify potential security incidents more efficiently. TRASSIR Neuro Fire and Smoke Detector extends fire and smoke monitoring to open areas where conventional detectors may be impractical. When a potential fire or smoke event is detected, an alarm is sent to the operator through TRASSIR Client, while responsible personnel can also receive notifications on their mobile devices. TRASSIR VMS additionally provides centralized tools for camera monitoring, alarm management, and video archive review, simplifying daily surveillance operations.

The project was implemented together with INVIA BİNA TEKNOLOJİLERİ SAN. VE TİC. LTD. ŞTİ.

Results and impact

The upgrade enabled Canan Kağıt to significantly expand its security capabilities without replacing the existing camera infrastructure. AI-powered analytics provide more proactive intrusion and fire monitoring, while automated alarms and notifications help responsible personnel react to potential incidents faster.

Key benefits include:

    • AI upgrade of existing CCTV infrastructure
    • Intelligent intrusion detection
    • Fire and smoke detection in open areas
    • Automated alarms and mobile notifications
    • Centralized video and alarm management
    • More efficient security operations
    • Extended value fr om the existing camera investment

By combining existing cameras with TRASSIR AI analytics, Canan Kağıt gained a more capable and proactive security infrastructure without the cost of replacing its surveillance network.