FLIR T131369 FLIR Bridge Pro

Product Features:

• Collect data from multiple FLIR Automation Smart Sensor cameras and third-party sensors into single hub
• Collect data from FLIR automation smart sensor cameras, including A50/A70, A400/A500/A700, AX8, A310, A310f, and A500f/A700f
• Connect to any sensor that outputs data in one of many common industrial protocols such as REST API, MQTT, Modbus, and OPC UA
• Easily integrate FLIR Bridge into existing asset monitoring systems with auto discovery of FLIR automation thermal cameras
• Control sensor data in FLIR Bridge by applying filters or mathematical equations before sending information to third-party asset software
• Create at-the-edge alarms and alerts and apply powerful analysis tools on incoming data
• Output processed or raw data, or both simultaneously
• Reduce data volume to save bandwidth or create space for many sensor inputs
• Prevent data loss even when connectivity is poor or intermittent with built-in buffer
• Make better-informed decisions with flexible data routing and reporting
• Deliver data to multiple on?premises and cloud destinations
• Easily scale asset monitoring with ability to collect data from thousands of different sensors
• Use powerful and comprehensive analysis tools on incoming data with enhanced on-the-edge analytics

General Description

• FLIR cameras supported: AX8, A310, A310f, A50/A70 Smart Sensors, A400/A500/A700 Smart Sensors, A500f, A700f
• Third-party sensor support: Yes, multiple types

Included Software

• Software: Sensor-to-cloud SW solution that enables flow of sensor data to third-party systems
• Number of sensors connected simultaneously: Limited by bandwidth and CPU power only; Number of sensors depends on poll rate and data types
• South plug-ins (sensors): FLIR cameras, CSV, HTTP, Modbus, MQTT, OPC-UA, Open weathermap, and much more added continuously
• North plug-ins (cloud): Google Cloud Platform IoT Core, HTTP, KAFKA, OPC-UA, ThingSpeak, Splunk
• Analytic filter plug-ins: Delta, mathematical expressions, Fast Fourier Transform, Python scripts, and much more added continuously; Pre-built analytical filters list available via online documentation; Bridge also allows customer user coded and ML models to be loaded
• Notification plug-ins: Logic and mechanism plugins to determine if condition has been met, what information to output, and where to output notifications
• Camera discovery: Manual or automatic discovery

System Specification

• Computer type: Fanless palm-size IPC
• CPU: 4-core ARM Cortex-A57 CPU, 8MB L2 + 4MB L3
• Memory: 4 GB LPDDR 4x onboard
• Storage: 16 GB eMMC onboard
• Resolution: 4 K (3840 x 2160)
• Operating system: Linux Ubuntu 18.04

Connections

• LAN: 2x RJ45 Gigabit Ethernet
• USB: 1x USB 3.0, 1x USB 2.0
• Display output: 1x HDMI (Max. resolution 3840 x 2160 @ 60 Hz)
• Wi-Fi: WIFI 802.11 a/b/g/n/ac (2.4 GHz/5 GHz) 2T2R and BT4.2 includes 2 Antennas
• Power requirements: 19 to 24 V (1.5 A to 1.18 A)
• Power supply: Not included
• Power connector: 2 pin terminal block
• Storage temperature: -40°C to 85°C (-40°F to 185°F)
• Operating temperature: -10°C to 60°C (14°F to 140°F)
• Relative humidity: 10% to 95% at 40°C, non-condensing