Skip to main content

E-con launches 5MP monochrome camera

E-con Systems has launched a 5MP monochrome USB 3.1 Gen 1 SuperSpeed Camera which it says captures images in visible and near-infrared regions.
February 17, 2020 Read time: 1 min

The See3CAM_CU55M camera includes a high level of signal-to-noise ratio – which, E-con says, guarantees a low noise in all conditions. E-con president Ashok Babu says: “With its low noise and excellent image quality, this will be an ideal camera for applications such as iris recognition, NIR imaging, driver monitoring and digital microscopy.”

See3CAM_CU55M also comes with S-mount lens holder and a reversible plug and play Type-C connector interface. It is supported by native UVC drivers of Windows and Linux Operating Systems and does not require any drivers to be installed on a PC, the company adds.

Related Content

  • Is machine vision the future of enforcement?
    January 25, 2012
    Leading automated enforcement system suppliers talk about how they see machine vision technology affecting the sector in the coming years
  • InnoSenT sizes up ITR-3800
    December 5, 2022
    Small radar system is designed for intersection management and traffic monitoring
  • Teledyne e2v launches Snappy 2MP sensor for barcode reading
    September 5, 2018
    Teledyne e2v says its CMOS sensor for barcode reading offers improved performance for handheld, mobile or fixed reads and automatic identification cameras. Called Snappy 2MP, the solution combines high definition resolution, a 2.8μm low-noise global shutter and features which are intended to provide fast and economic decoding. According to Teledyne e2v, the sensor allows scanning platforms to offer enhanced productivity and throughput in logistics, sorting and retail point of sale. Snappy 2MP’s feature
  • EdgeVis removes bandwidth barriers to mobile streamed video
    October 26, 2017
    A new generation of video compression can lower transmission costs of data and make streaming from mobile and body-worn cameras a reality, as Colin Sowman discovers. Bandwidth limitations have long been the bottleneck restricting the expanded use of video streaming for ITS, monitoring and surveillance purposes. Recent years have seen this countered to some degree by the introduction of ‘edge processing’ whereby ANPR, incident detection and other image processing is moved into (or close to) the camera, so