{"id":494,"date":"2017-02-03T14:39:14","date_gmt":"2017-02-03T13:39:14","guid":{"rendered":"https:\/\/optronis.com\/?page_id=494\/"},"modified":"2026-09-04T12:16:38","modified_gmt":"2026-09-04T10:16:38","slug":"innovationen","status":"publish","type":"page","link":"https:\/\/optronis.com\/en\/about-us\/innovationen\/","title":{"rendered":"Innovationen"},"content":{"rendered":"
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30 Years of Optronis Germany.<\/h2>\n

40 years of technological expertise in ultra-high-speed optical measurement technology.<\/h2>\n

And a mission that continues to drive us to this day:<\/p>\n

to make visible what is too fast to see.<\/strong><\/p>\n

MAKE TIME VISIBLE<\/strong><\/h2>\n<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n
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\n \"Optronis\n<\/div>\n

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01 \u2013 The Beginnings:<\/h2>\n

When even a single photon and a picosecond matter<\/h2>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n
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1 photon<\/h2>\n

How do you measure light when there is almost none?<\/strong><\/p>\n

In 1986, development of the \u201cOptoScope\u201d streak camera system began in earnest, leading to its market readiness. This made it possible to detect and count individual photons. Extremely faint optical events could be reliably made visible. The key was not just \u201cseeing\u201d something, but being able to measure it.<\/p>\n\t\t\t<\/div>\n\t\t\t

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5 picoseconds<\/h2>\n

What happens if even a nanosecond is too imprecise?<\/strong><\/p>\n

The \u201cOptoScope\u201d streak camera not only enabled the measurement of extremely weak signals but also their duration. It records time with a resolution down to the picosecond range\u2014that is, one millionth of a millionth of a second. In ultra-fast optical measurements, even the slightest temporal jitter can compromise measurement results. From the very beginning, Optronis developed its streak systems with a focus on temporal stability.<\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n

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\"Optronis<\/div>\n

02 – When a Moment Is Too Fast for the Eye to Catch<\/h2>\n

1996: 512 \u00d7 512 PIXELS. 1,000 FRAMES PER SECOND.<\/h3>\n

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When development began in Germany in 1996, machine vision was still in its infancy. Analog cameras and frame grabbers dominated the market. There was not yet a suitable interface for electronic high-speed cameras that could continuously transmit large amounts of image data. For this reason, the images were initially stored internally.<\/p>\n

One of the first Optronis cameras captured 512 \u00d7 512 pixels at 1,000 frames per second. Today, that seems almost modest. Back then, it meant that a fast process\u2014of which perhaps only the beginning and end had been visible before\u2014could be examined frame by frame for the first time.<\/p>\n

Even back then, it wasn’t about speed as an end in itself. High-speed imaging became a tool for troubleshooting, process monitoring, and technical understanding. A single moment became data. And data became understanding.<\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n

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03 \u2013 2011:<\/span><\/h2>\n

Taking pictures was only half the solution<\/h2>\n

RECORD \u2192 TRANSFER \u2192 PROCESS<\/h3>\n

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\"\"Early high-speed cameras primarily operated on the following principle: capture, store internally, read out, and then analyze. This is not sufficient for industrial machine vision. In this context, image data must be continuously delivered to where it is processed\u2014quickly, reliably, and with predictable timing.<\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n

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\"Historische<\/p>\n

Early high-speed cameras primarily operated on the following principle: capture, store internally, read out, and then analyze. This is not sufficient for industrial machine vision. In this context, image data must be continuously delivered to where it is processed\u2014quickly, reliably, and with predictable timing.<\/p>\n

The question \u201cWhat just happened?\u201d increasingly became: \u201cWhat is happening right now\u2014and how can the system respond to it?\u201d High-speed imaging became high-speed machine vision.<\/p>\n

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04 \u2013 Then \/ Now:<\/h2>\n

Almost everything has changed. But our mission hasn’t.<\/h2>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n
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THEN<\/strong><\/h3>\n

512 \u00d7 512 px
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\nAnalysis afterward<\/p>\n

Capture fast-moving events<\/strong><\/p>\n\t\t\t<\/div>\n\t\t\t

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NOW<\/strong><\/h3>\n

High-resolution sensors
\nExtremely high data rates
\nContinuous transmission
\nMachine vision \/ real-time integration<\/p>\n

Provide reliable image data<\/strong><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n

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What remains? Reliably capturing the decisive moment.<\/h3>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n
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05 \u2013 today: <\/span><\/h2>\n

High speed is more than just frame rate<\/h2>\n

WHAT HAPPENS WHEN CAMERAS CAN SEE MORE AND MORE?
\nMORE AND MORE DATA IS BEING GENERATED.<\/h2>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n
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Modern sensors combine high resolution with high frame rates. This shifts the challenge: It is no longer enough to simply generate images quickly. The entire imaging system must deliver the resulting data reliably, reproducibly, and in a way that allows for integration.<\/p>\n

This is exactly where today\u2019s Optronis world comes in. CyclonePlus and CycloneFiber represent high-speed machine vision with high bandwidth, deterministic data transmission, and industrial integration capabilities. Standards such as CoaXPress, GenICam, and EMVA 1288 help make high-performance technology comparable, predictable, and easier to integrate.<\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n

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HIGH BANDWIDTH<\/h3>\n

large amounts of image data
\ntransmitted reliably<\/p>\n\t\t\t<\/div>\n\t\t\t

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DETERMINISTIC DATA<\/h3>\n

predictable and stable
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MACHINE VISION READY<\/h3>\n

Developed
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06 \u2013 2026: <\/span><\/h2>\n

The Next Chapter \u2013 Hurricane<\/h2>\n

100 Gb\/s. 9 GPixels\/s.\u00a0<\/span><\/h2>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n
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Sensors are getting faster. Resolutions are increasing. Applications demand more and more image data in ever-shorter periods of time. This raises essentially the same technical question today as it did decades ago\u2014only on a completely different scale: How can we manage ever-larger volumes of image data in a way that ensures the decisive moment remains reliably measurable?<\/p>\n

With Hurricane, Optronis is opening the next chapter in high-speed machine vision at VISION 2026. The new generation of cameras supports data rates of up to 100 Gb\/s and up to 9 GPixels\/s\u2014marking a logical continuation of a development that has been at the heart of Optronis\u2019s work for decades: making fast processes visible and reliably delivering the resulting image data.<\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n

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\u201cThe customer should receive the image data that their application requires\u2014even if they aren’t a specialist in camera technology themselves.\u201d<\/h2>\n

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Technology changes. Our commitment remains the same.<\/h3>\n