Tetra quad linear CMOS sensor family

Share this on social media:

Teledyne e2v, a Teledyne Technologies [NYSE: TDY] company and part of the Teledyne Imaging group, introduces Tetra, a low-cost, high-performance quad linear CMOS sensor family. The Tetra sensors are ideal for food sorting, recycling, logistics, pick-and-place, document scanning, and other machine vision applications that require cost-effective mono, color, and multispectral imaging.

Tetra sensors are available in a 2k resolution with a 14 μm x 14 μm pixel size, or 4k resolution with a 7 μm x 7 μm pixel size at a max line rate of 128kHz aggregate. The mono models can be configured to output one, two, or four rows and the color models provide RGB and mono outputs. Using wafer level coated dichroic filters, the sensor also provides spectrally independent RGB and NIR outputs for multispectral imaging.

Based on a synchronized shutter design, Tetra provide low read noise and high dynamic range with true correlated double sampling (CDS). Each channel has its own exposure control, resulting in easy-to-perform white balancing.

The ceramic LCC package also offers high performance and high reliability over a wide range of operating temperatures. The sensor data ports have high signal integrity and simple interfacing for quick system integration.

Florian Julien, Director of the Machine Vision Team at Teledyne e2v said, “The sorting industry has started to upgrade its traditional technology from color to multispectral imaging. With its unique RGB + NIR capability, Tetra has been designed as the next generation technology to enhance quality and safety in food sorting.”

Jyrki Rosenberg (left) and Tapani Ryhänen, Emberion’s CEO and CTO respectively. Credit: Emberion

24 January 2022

Jyrki Rosenberg (left) and Tapani Ryhänen, Emberion’s CEO and CTO respectively. Credit: Emberion

24 January 2022

Paweł Malinowski, program manager at Imec

15 December 2021

Images taken with STMicroelectronics' 940nm NIR Quantum Film sensor (top left) and with its 1,400nm SWIR QF sensor (bottom left). Corresponding images taken using a visible smartphone camera (right). The QF NIR image shows better contrast between black electrical wires hidden in the dark green leaves, and tree trunks and branches hidden in front of the dark wood fence. The SWIR QF image shows how effective it is to use SWIR imaging to see through a silicon wafer. Credit: STMicroelectronics

15 December 2021

Image: Martial Red/shutterstock.com

19 October 2021