We are proud to represent FLIR Systems, Inc., who is a worldwide leader in the development of advanced digital camera technology products for machine vision, industrial imaging, and computer vision applications. FLIR Integrated Imaging Solutions Inc., formerly Point Grey Research., is a global leader in the design and manufacture of innovative, high-performance digital cameras for industrial, medical and life science, traffic, biometric, GIS, and people counting applications.
FLIR offers innovative, high-performance digital cameras for all interfaces; USB 3.1, GigE, 10 GigE, FireWire A, FireWire B, USB 2.0 and Camera Link
and they can be categorized into the following : Imaging (Single lens) products, Stereo vision products & Spherical vision products.
|For an overview of some of the differences between the interfaces please review the following chart:|
|Interface||USB 3.1 Gen 2||USB 3.1 Gen 1||Gigabit Ethernet||FireWire (IEEE1394b)||USB 2.0|
|Bandwidth||900 MB/s||400 MB/s||125 MB/s||80 MB/s||40 MB/s|
|Max cable length||1 m||5 m||100 m||4.5m||5 m|
|Power delivery||100 W||4.5 W||15.4 W||45 W||2.5 W|
|Data + power over one cable||Yes||Yes||Yes with PoE (PoE Port Needed)||Yes||Yes|
|Vision standard||USB3 Vision||USB3 Vision||GigE Vision||IIDC DCAM||None|
FLIR cameras are used in industrial applications including factory automation, electronics manufacturing, food and packaging inspection and other classic machine vision applications. Flexible mechanical design, compatibility with third party peripherals, and support for industry standard protocols allow FLIR cameras to excel in industrial camera applications.
Medical & Life Sciences
To ensure correct diagnosis and good decision making, doctors and engineers require very high performance benchmarks on medical imaging applications and devices. The process of bringing such devices to market is both time consuming and costly. Thus it is important that device components, such as cameras, remain available for many years to come. FLIR’s combination of strict manufacturing processes and roadmap planning ensure high quality, utmost reliability, and long product lifecycles.
The field of life sciences is often faced with identifying and solving new problems. Researchers become pioneers as they work towards better understanding the world around us. FLIR cameras are especially useful in this challenge by providing the flexibility and adaptability needed to address new possibilities. Compared to high-end scientific cameras, FLIR cameras allow researchers to develop their solutions at a much lower cost.
The rapid evolution and price-performance improvements of digital imaging cameras has attracted users from the 3D imaging, interactive multimedia, and broadcasting communities to FLIR cameras. In response, FLIR has invested heavily into the development of non-proprietary, industry standard technologies such as DCAM, GigE Vision and USB3 Vision to facilitate ease-of-use. The value of these standards is ongoing compatibility between various camera models and host applications. Users benefit from this relationship by enabling the final solution to remain flexible years into the future.
GIS (GEOGRAPHICAL INFORMATION SYSTEMS)
Since the introduction of the internet and the digital revolution, geographical information systems are a growing and highly profitable industry. Companies like Google have gained particular notice by developing Streetview, a capability which allows Google map users to zoom into a street level view of a neighborhood. Similarly, municipalities and larger property investors are relying on camera images, captured from a moving vehicle, to register key assets such as road signs, building locations and road features.
FLIR spherical cameras provide customers with a complete solution which incorporates all aspects of a 360° imaging system. This approach reduces time to market while minimizing development efforts. Cameras are pre-calibrated with 6 sensors and include a software package that manages the image acquisition, real-time processing, and image stitching needed to create a single panoramic snapshot. Users that demand a customized solution can develop the spherical camera system on their own by integrating multiple single sensor cameras and using FLIR’s software development kit to manage image acquisition and stitching.
Traffic & Surveillance
By applying machine vision technology to solve ITS problems, providers reach the market faster and more cost-efficiently. To address a wide variety of ITS applications, FLIR cameras come in a selection of digital interfaces, sensors, price points, and board-level or boxed.
Automated Tolling: In recent years, with the use of digital camera technology, new tolling practices have drastically increased the throughput and accuracy of toll charges. Cameras are used to capture images of fast moving vehicles for the purpose of automatic number plate recognition (ANPR/ALPR). FLIR’s triggering accuracy ensures consistent vehicle positioning in the field of view by synchronizing image capture with vehicle detection methods such as ground loops, radar, or laser devices. Our wide variety of global shutter CCD and CMOS sensors along with excellent low light sensitivity are just a few reasons why our cameras are specifically chosen for crisp, undistorted imaging of high-speed multi-lane traffic environments.
Traffic Enforcement: The use of traffic cameras puts more eyes on the road with the aim of improving driving behaviour for safer roads. Digital camera technology can be used for vehicle identification, speed detection, and red light violations. FLIR cameras feature image compression ideally suited for efficient storage and image transfer across bandwidth limited interfaces. With ONVIF support, FLIR cameras can be integrated with popular traffic monitoring and security software.
Safety and Security: Digital cameras are used in biometrics for facial recognition. Applications such as border control rely on digital camera technology for the ability to quickly and accurately identify individuals. FLIR’s high quality images provide low noise, high dynamic range, and the resolution required for complex image processing.