Sony, the global leader in machine vision and industrial imaging sensors, unveiled the trademarks for its latest CMOS sensor technologies, Starvis and Pregius. Both technologies are the result of years of continued innovation and deep research in taking camera vision to the next level and provide new levels of clarity and detail to imaging.
What is the Sony Starvis pixel technology?
Sony’s Starvis is a back-illuminated pixel technology for Sony’s new CMOS image sensors. It enables clear, crisp imaging under starlight and in near-infrared light regions. Sony Starvis features a sensitivity of 2000 mV or more per 1 µm2 (color product, when imaging with a 706 cd/m2 light source, F5.6 in 1 s accumulation equivalent), which enables lower noise and more clarity under dark lighting conditions.
The Sony Starvis pixel technology is a new industry standard in surveillance sensors providing a higher level of detail for night-time surveillance and low-light imaging.
Figure 1 - Sony Starvis trademark.
Copyright Sony Semiconductor Solutions Corporation
What is the Sony Pregius global shutter sensor technology?
The Pregius is Sony’s signature low-noise CCD structure technology for its CMOS image sensors that provide better lighting and lower noise imaging. Machine vision has many implications for industrial use. Many environments have objects moving at fast speeds. Before the sony global shutter sensor technology, machine vision systems used the rolling shutter technology, which failed to provide distortion-free imaging results.
With the Sony Pregius global shutter technology, the sensor exposes each pixel at the same instant, capturing the entire image at exactly the same time. This preserves the image from distortion. Fast moving objects are therefore captured with excellent clarity. The global shutter function has widely been adopted by the industry ever since Sony adopted it along with its low-noise CCD structure technology.
Figure 2 - Sony Pregius trademark. Copyright Sony Semiconductor Solutions Corporation
How effective is the Sony Starvis under low light?
A side-by-side comparison with Starvis on and off done by this reviewer clearly shows the difference. With Starvis on, you can see better lighting around the frame, allowing more detail to be seen. The reviewer used two Sony image sensors, the Sony Exmore IMX322 and the Sony Exmor Starvis IMX291.
The Starvis pixel technology proves to be successful in capturing more detail under the same lighting conditions than a standard CMOS image sensor, and therefore is a great value addition for surveillance and security in dark regions.
How effective is the Sony Pregius global shutter function?
Sony compared its global shutter function with the standard rolling shutter function by capturing a moving table fan. This video shows how the Sony Pregius sensors is successfully able to preserve the image from any distortion while the fan moves back and forth. On the other hand, the rolling shutter function is unable to keep the image from distortion as the fan moves.
The Sony Pregius IMX253 with 10 GigE Vision
Talk about fast image processing for machine vision, and it doesn’t get faster than a Sony Pregius sensor with a 10 GigE machine vision protocol. The 10 GigE Vision is the latest standard in machine vision and processes images at ten times the speed of its predecessor, the GigE Vision standard.
With the Sony Pregius, the global shutter function allows excellent detail for fast moving objects. This is great for industrial use in production environments that move products at ultra-high speed. Coupled with the latest 10 GigE Vision standard, the Sony IMX253 gives a whole range of possibilities for machine vision, inspection and surveillance.
With a 12 MP sensor, the Pregius sensor technology and compatibility with a range of third-party machine vision systems, the IMX253 is a great contender for CMOS sensors in its class. It offers lower operational cost, and has a pixel size of 3.45 µm, one of the industry’s smallest.
Both the Starvis and the Pregius are excellent additions of innovation and research to today’s CMOS machine vision imaging sensors and serve a whole new spectrum of industrial requirements for high-speed, low-noise, distortion-free imaging.