Teledyne FLIR
Image-Streaming and
Smart Sensor Cameras.

Prevent equipment and component failures, production line downtime, and fires.

The Teledyne FLIR A50/A70 and Axxx Series (A400/A500/A700) image-streaming and smart sensor cameras deliver unmatched performance and flexibility for customized, effective thermal monitoring that enhances quality, productivity, maintenance, and safety. With the latest generation of automation-ready thermal cameras, you can detect and identify thermal anomalies across manufacturing and industrial processes, capture accurate thermal data, and analyze it using your in-house software. These models can be configured for standard or advanced image streaming, or as smart sensors, and—thanks to seamless integration and purpose-built software—can be tailored to meet your specific requirements.

Image-Streaming Models: These models transmit images with all associated data to a computer, where the user can perform analysis and decide on further actions. Take advantage of GigE Vision and GenICam compliance to integrate the cameras into your own system.

Smart Sensor Models: These models analyze images onboard and deliver actionable results directly to the user. Use Modbus TCP, EtherNet/IP, or ONVIF to integrate the cameras into industrial systems (HMI/SCADA, VMS, NVR), or leverage the REST API to transfer data from the camera to a web interface or internet-based application.

Typical Applications.

Quality Control.

Monitor the temperature of metal parts after quenching or cooling baths to control hardness
Measure temperatures of cooked foods, ovens, refrigeration systems, and packaging
Visualize weld seams during execution to verify weld quality
Ensure hot glue beads are applied evenly and completely for optimal bonding
Verify proper adhesive placement on carton seals

Condition Monitoring.

Real-time monitoring of ladles and casting pots to detect cracks early
Electrical and mechanical systems in manufacturing and utilities
Power utilities: solve challenges of incompatible sensor systems and shortage of skilled IIoT programmers