Scorpion 3D Stinger wins UK Food Award in Robotics


Ziaf Hussain, telemarketing executive (left) and Kelly Booth (right) internal sales engineer at Bürkert Fluid Control Systems with Rhian Burge, advertising and direct marketing manager at Ishida Europe Ltd (centre)

Celebrating the best that the UK food industry has to offer, the 2013 Food Processing Awards displayed the best in innovation, automation and sustainable solutions.

The partners Mitsubishi Electric – Automation Systems UK , Quasar Automation and Scorpion Vision Ltd implemented an innovative 3D deposits solution that won the Robotics and Automation award.

The complete solution was put together by Quasar Automation combining Mitsubishi food safe robots and the Scorpion 3D Stinger technology.  The purpose of the solution is to be able to automatically deposit independant of the top surface shape.

Read more about 2013 winners in Food Processing.

The unique Scorpion 3D Stinger Robot Vision Technology.

The  Scorpion Compact Vision system connected to a Scorpion 3D Stinger MLaser Camera that creates an accurate 3D model of the cake top surface in real-time.  Based on the 3D model the “Happy Birthday” deposit is accurately projected onto the top surface.

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Continuous Improvement in Food & Beverage Production Conference & Exhibition


Come and Meet us at Photonex 2012!

We’ll have a significant presence at this year’s Photonex show – the premier UK show for imaging and machine vision, which takes place at the Ricoh Stadium in Coventry on the 17th and 18th of October.

This year our focus is on Scorpion Vision Apps. A new concept in the machine vision world where people can have access to complex vision tasks with a relatively small investment in time and resources. Scorpion Vision Apps are about ease of use, competence and adding value to industrial cameras in a sophisticated way.

So we’ll be demonstrating how vision apps at Photonex:

  • How they work
  • What they look like
  • How to create your own!

So come and meet us on Stand C03. We’ll show you our current camera portfolio, with running demos from four camera manufacturers. And you’ll be able to see the Scorpion Vision Apps working too.

GigE Vision – A Technology Who’s Time has Come?

Most if not all industrial camera manufacturers have GigE Vision interfaces in their camera product range. Usually just a derivation of the camera that is in many cases also available with USB or Firewire, as legacy devices.

Most of our camera partners manufacture GigE cameras, with one notable exception being that of Unibrain who have firmly nailed their flag to the firewire mast. There are pros and cons to both technologies of course and one of the significant benefits of firewire is the extended bandwidth that is available with a 1394b network. There is also significant stability that comes with a mature technology. Sometimes we revert ‘back’ to firewire when we have our fingers burnt!

But it has to be said that – bandwidth issues aside, GigE Vision cameras are most definitely the camera of choice in many standard machine vision systems where area scan cameras are used. For higher bandwidth, Camera Link is also an obvious alternative to Firewire.

Our camera principles who have fully developed GigE Vision cameras, that is Sony, PixeLINK and The Imaging Source all implement

the interface technology in slightly different ways. My most recent experience with Sony cameras was interesting. It took a while to

The Sony XCG Camera

understand how it worked, but when it did it was rock solid. This was because they have improved on the standards that have gone before. The problem is that you think you know how something works, but then you find out that you don’t! So the lesson for me has been to approach these things with an open mind and don’t make the assumption that because you know about networks, it’ll be easy to set up….

The Imaging Source (TIS) have a reputation for good software and drivers. This has been reinforced with their latest range of Power over Ethernet cameras that are not based on previous legacy models and which now extends to 10 models (5 colour and 5 monochrome). They are small and light and can be powered directly over a 100 metre cable from the computer or a powered switch.

Installing a TIS GigE camera is simple, connect it. Run the GigE config software. Then run Image Capture, the viewing software.

Chances are, the camera will be detected and run like any USB or firewire camera that has gone before. But with long cables lengths and powered interfaces, it’s streets ahead of USB and of course doesn’t have the cable length limitations that USB or firewire  have. The cameras are DirectShow compatible which means of course that they work with Scorpion Vision Software.

So their time has come, and in various forms:

Scorpion Vision 3D Stinger Tender Won by Scorpion Vision Ltd


Combining the two images below we can extract the 3D location (x,y,z) of any edge-point with sub-pixel accuracy in 3D.

Measuring the 3D pose of the stop-cock

The zoomed images shows the accuracy we get with Scorpion Vision Software 9. The following is measured:

  • The 3D-position (x,y,z)  of two edge points z1 and z2
  • The 3D-pose – (x,y,z,rx,ry,rz) and the radius of two circles
    • z = -0.08 mm – r = 2.11 mm
    • z= 5.26 mm – r = 4.67 mm

Note that that circles fit perfectly in a low contrast image due to the accurate 3D pose estimation. We let the visualisation speak for itself.

Everything work with low contrast and is sub-pixel in 3D!

The technology is available for use in Scorpion Robot Inspection, Scorpion Mono Stinger and Scorpion 3D Stinger applications.

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Scorpion Vision Software adds integrated support for the latest OpenCV version 2.3.  There is a series of new samples included Scorpion Vision Installer both raw code sample and ready to use STC – Scorpion Tool Components – template ready to be integrated into your Scorpion application.

The integration of OpenCV into Scorpion Vision Software is a long-term strategic choice based on the following. The value created in Open-Source is tremendous- we at Scorpion Vision want to benefit from this by using the latest OpenCV, NumPy and SciPy libraries both to extend and improve our Scorpion Vision Framework and to provide our user’s the following choice:

  • Use free Open-Source image processing
  • Use Scorpion Vision image processing
  • Mix and choose from Scorpion Vision and Open-Source image processing to provide the best combination and value

With the Open-Source strategy that started with integrating Python as Scorpion Vision scripting language integration of .Net…

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