Skip to main content

New Prosilica GT camera range

Allied Vision Technologies (AVT) has launched Prosilica GT, a new range of GigE Vision compliant digital cameras designed to perform in extreme environments and fluctuating lighting conditions. The company says the range offers new advanced features well suited for outdoor installations such as ITS and traffic monitoring, public security and surveillance. Designed to minimise field maintenance by surviving extreme weather events, the Prosilica GT features a rugged thermal housing for maximum heat dissipat
January 31, 2012 Read time: 2 mins

518 Allied Vision Technologies (AVT) has launched Prosilica GT, a new range of GigE Vision compliant digital cameras designed to perform in extreme environments and fluctuating lighting conditions. The company says the range offers new advanced features well suited for outdoor installations such as ITS and traffic monitoring, public security and surveillance.

Designed to minimise field maintenance by surviving extreme weather events, the Prosilica GT features a rugged thermal housing for maximum heat dissipation and remote temperature feedback with automatic power-down at peak temperatures to prevent critical component damage. Equipped with Ethernet surge suppression technology they are even designed to withstand a lightning storm.

The Prosilica GT family features the latest CCD sensor technology including a selection of 576 Sony EXview HAD CCD sensors, well known for high sensitivity and excellent

near IR response, and the latest Kodak KAI family sensors that combine high resolution and fast frame rates. Models from VGA to six Megapixels and up to 119 frames per second at full resolution will be released in three phases with the first models now available and additional models featuring high performance CCD and CMOS sensors scheduled for release in 2012.

All GT cameras feature Power over Ethernet (PoE), a technology that supplies power along with image data through the camera's

Gigabit Ethernet interface without the need for additional cabling.

High frame rate capability offers burst image capture often required in a targeted event such as traffic applications where multiple images of a licence plate improve ANPR accuracy.

The Prosilica GT family is supported by a free software development kit which includes libraries for Windows, Linux and QNX, and 32/64-bit CPU architectures allowing the same code base to be deployed across all major operating systems.

For more information on companies in this article

Related Content

  • Versatile cameras from Lumenera
    October 29, 2014
    Lumenera offers a wide range of cameras specifi cally designed for use in advanced transportation systems. Compact, lightweight, versatile, with onboard memory buffering, a choice of data interface and ruggedised for harsh environments, Lumenera’s cameras are ideally suited for transportation applications such as tolling, red light and speed enforcement and automated parking. Lumenera has selected the most innovative sensor technology, paired with unique optimisation to deliver excellent imag
  • Super-wide dynamic range cameras
    February 3, 2012
    Premier Electronics has announced its new W series Super-Wide Dynamic Range (SWDR) cameras which can render a clear image of both light and dark objects in the same scene by using double exposure technology to achieve a much wider dynamic range.
  • High performance NVRs launched
    November 20, 2013
    Network video recorder supplier Digiever Corporation has launched the new high performance Digistor network video recorders (NVRs), DS-2100 Pro and DS-1100 Pro series, to satisfy various surveillance requirements. The powerful and compact Linux-embedded standalone devices are powered by Intel CPU with a high performance local display. Both carry out network surveillance of multiple IP cameras with diverse display modes. Users can connect up to twenty-five channels in a single server and up to 144 channels
  • Cepton and Belam boost railway safety
    September 28, 2021
    Cepton says the system has achieved an accuracy of over 99.9% in obstacle detection