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13 November 2026

Upgrading existing CCTV with video analytics at Canan Kağıt

Canan Kağıt, a Turkish paper manufacturer, upgraded its existing video surveillance infrastructure with TRASSIR AI-powered analytics without replacing its installed cameras.

The solution combines
TRASSIR Neuro Detector for intelligent intrusion detection with TRASSIR Neuro Fire and Smoke Detector, extending automated safety monitoring to open areas wh ere conventional fire detectors can be difficult to install.

When a potential security or fire event is detected, operators receive alarms through TRASSIR Client, while responsible personnel can also receive mobile notifications.


The deployment includes
TRASSIR NeuroStation 8800R/128 servers, AnyIP licenses, Neuro Detector, and Neuro Fire and Smoke Detector. TRASSIR VMS provides centralized monitoring and efficient access to recorded video.

Implemented together with
INVIA BİNA TEKNOLOJİLERİ SAN. VE TİC. LTD. ŞTİ., the project demonstrates how existing CCTV infrastructure can be upgraded with video analytics to deliver broader security capabilities while protecting the customer’s existing investment.

Read the full case study
to see how TRASSIR helps extend existing surveillance systems.

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