Eye on Cloud to deploy Lepton camera in fire detection system

27 Dec 2023

Agreement is part of EOC’s “Thermal by Flir” collaboration.

Early fire detection for buildings and electric vehicle charging stations.

Teledyne Flir, has announced that Eye on Cloud Tech (EOC), a Korea-based video security and thermal imaging IP camera company, is to integrate Flir’s Lepton® radiometric thermal camera module into EOC’s early fire detection series of IP cameras. EOC is introducing the series of EFD cameras as part of its “Thermal by Flir” collaboration.

Flir’s The HI1612-OH and HI1612-MW series cameras offer multiple resolution options for continuous monitoring of electric vehicle charging stations and other critical infrastructure, security, and facility applications.

With non-contact temperature measuring, the Flir Lepton can identify elevated heat before ignition, which then triggers an alarm system. EOC says its ONVIF-compliant EFD cameras “help improve safety while enabling fire personnel to attack a potential fire more quickly than when relying on traditional smoke alarms”.

‘Natural collaboration’

Mike Walters, VP, product development at Teledyne Flir, said, “We developed the Thermal by FLIR program to support customer innovations for new and developing applications. EOC Tech and its work with early fire detection for EV charging stations and other built environments is a natural collaboration for the Flir Lepton and Thermal by Flir program.”

The program is a cooperative product development and marketing program that supports original equipment manufacturers, to integrate Teledyne Flir thermal camera modules into products, along with go-to-market support for ensuing product innovations.

Dong Gyun Shin, CEO, EOC Tech, said, “Substation, building, and EV parking facility managers, including shopping centers and office buildings, need solutions that will help them better detect fires that can threaten life and property.

“Our line of EFD dual thermal-visible camera systems developed as part of the Thermal by Flir program provide a relatively low cost yet effective method to identity potential fires before they ignite.”