Who would think that something as fundamental as a video camera would ever need a 10GbE connection? Last week the tech who ran a well-known wind tunnel in the US contacted me to buy some 10GbE cards. I asked why, and he said because that’s the connector on the new cameras he was having installed, cool. At that point the whole concept of Machine Vision Acceleration (MVA), and the importance it might play as an emerging 10GbE market became interesting. During my research for this piece, I just learned that the Machine Vision (MV) market was $2B in 2011 and that the dominant standard is GigE Vision. GigE Vision was developed by a consortium of 12 companies and published in 2006, today over 50 companies produce GigE Vision products.Automated manufacturing lines rely on cameras to capture images for analysis, and keep the lines moving. These digital images are then run through a number of recognition algorithms to determine if the products pass or fail based on certain quality standards: color, shape, orientation, etc… They can also be used to guide industrial robots. Technological advances since the development of GigE Vision have further accelerated adoption within this new market. Today we have 2-megapixel cameras that are capturing 340+ images/second, and actually doing some image preprocessing within the camera. These cameras have a built in FPGA (Field Programmable Gate Array logic chip) and significant memory. This approach enables one to write algorithms to preprocess the images, then load these algorithms into the camera to execute. This advanced processing trims down the data actually transmitted off the camera, while also distributing the processing load across all the cameras. It is not uncommon for a single server to process images from multiple cameras so if each camera can handle some basic takes this can dramatically ease the load on the server. Even with this assistance these cameras still require a built in 10Gb Ethernet interface for connection back to the servers that are processing the images in real time in order to properly direct the assembly line, robots, or security screeners.
Recently we covered HD video streaming. These machine vision cameras capture 2MP at 352 fps (Frames per Second). This is equivalent to between 6 and 12 uncompressed HD 1080p video streams (HD video can be between 24 and 60fps).One example I found of H.264 (the most widely used format) compression of a 1080p stream (1920×1080) requires 3Mbps at 0.4fps. So if we scaled this up to 352 fps this would work out to 2.6Gbps. Now you can see why these cameras have a built in 10GbE interface. The latest cameras are labeled GigE-Vision enabled devices, the new emerging standard.
The above two reasons, zero memory copies & intelligent interrupt moderation are MVA’s opening and closing illusions, but every good magician has several other tricks to fill out their act. Let’s face it flowers from a wand still get’s a laugh if properly timed. Another bit of slight of hand is how MVA manages load balancing and traffic steering. Normally the standard Ethernet or OS driver handles steering ethernet traffic steering to the application, MVA handles this now. MVA also supports multiple threads and devices and the steering between them.
So all this magic, what’s the real payback, that Ta Da statement? How about a 25% CPU reduction in host CPU! That’s what all the above magic produces on an Intel 8-core 2.93Ghz system. Thanks to our Hawaiian surfing architect responsible for MVA for many of the details above.
To all those High-Frequency Trading (HFT) shops out there that believe you need Linux to secure the lowest latency, well that’s no longer the case.
In the 1990s the federal government pulled a page from da Vinci’s book and got behind a software acquisition strategy called 
At CES this week Netflix, announced streaming support for
We’re going
Back in the early 90s an internal IBM cartoon called “How OS/2 Won the West” was being passed around on VHS it was hysterical but ultimately wrong. Superior technologies and products like Betamax, Token Ring & the Apple Newton litter the battlefield of technology. In the end, all that matters is market dominance. It’s our culture, look at the Olympics, we all know that Gabby Douglas won gold for the Women’s Gymnastics Individual All-around, so who won the silver? Someone from China? No, Viktoria Komova from Russia. Our society pays very little attention to second place.
This could also be titled where is Ethernet headed & how network companies, other than Intel & Broadcom, can survive & prosper.