ISVI provides High Speed + High Resolution 25MP @ 72 fps.. That’s fast!

1st Vision is pleased to announce we are now a distributor for ISVI Corp.

ISVI is one of the leaders in designing and manufacturing advanced high speed, high resolution camera technology combining the highest bandwidth interfaces. 

This combination coupled with the latest image sensors provides an unparalleled combination of image quality and high speed.  

Key Features include: 

  • CoaXpress and Camera Link interfaces 
  • High resolution up to 25 Megapixels
  • High Image Quality (Class 1 Sensors used in IC-X29 model cameras providing less pixel defects!)
  • Precise Tap Balance
  • Flat Field Correction  / Defect pixel correction
  • DIN 1.0/2.3 connectors on select models allow the use of commercially available molded-cover CXP cables. 
  • Various lens mount options (F-Mount, M72, M58, M42, LM Lens Mount )

Featured Products at a glance: 

Model  Resolution Frame
Rate (fps)
Interface Sensor
IC-X12S-CXP 12 MP 181 CoaXpress CMOSIS CMV12000
IC-X25/X25S-CL 25 MP 30 Camera Link OnSemi Vita
IC-X25/X25S-CXP 25 MP 53/72  CoaXpress OnSemi Vita
IC-X29/X29S-CL 29 MP 5 fps Camera Link OnSemi KAI-29050

For full ISVI datasheets , click HERE!  

Silicon Software Frame grabbers are recommended for ISVI CoaxPress cameras and support up to CXP 6.  Additionally Silicon Software provides SmartApplets for loading application-related image processing sequences onto their “V” series frame grabbers.  The processing takes place in real-time and relieves the host for other software related processes.  

For full Silicon Software Datasheets click HERE    

Contact us to discuss your application and help make a recommendation!  1st Vision can provide a complete solution including lenses, cables and lighting.  
Ph:  978-474-0044

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Not all Lenses are created equal! MTF comparisons

In our previous blog, Demystifying lens specs,  we discussed the Modulation Transfer Function, also known as MTF, which gives you the performance of light through a medium.  The MTF helps us understand lens characteristics, however it is extremely hard to compare using manufacturer’s data sheets.  In essence, looking at a 25mm / f1.4 lens from vendor A to vendor B may look similar with basic information, but they are not!  Not all lenses are created equal and in turn need extensive data for comparison. 

The problem with comparing lens MTFs.

The problem is that most lens manufacturers DO NOT supply MTF information, or do not supply complete MTFs. Lens manufacturers with high quality optics, such as Schneider Optics, are one of the few that provide a complete set of MTFs vs. transmission.  (See an example on Pg 2 on this datasheet.)  Many will provide basic information in terms of line pairs/mm (lp/mm) measured in the center of the lens, however this is still not enough for a true comparison.  MTF data will vary with aperture (f3), light intensity and distance from the center to edges.  In turn, if you are not comparing “apples to apples”, you cannot draw a conclusion on which is the better lens.

Can I just measure the MTF myself?

The short answer to this is: Not so easily! First off, the MTF of a computer monitor is probably around 30 lp/mm. All the lenses we are discussing in this blog are at least 2x this, if not 3 or 4x it. So the limiting factor is the monitor, and you will not be able to see any differences. If you have a resolution chart, and some software where you can get the actual pixel data and plot it vs. the test pattern, you can get a better idea. However, a fairly rigid test set up with constant lighting, constant exact FOV and other identical parameters is required. This is a very lengthy process and requires special equipment. True optical testing is the correct way to determine and compare MTF.

Bottom Line:  1st Vision has done extensive testing on many lenses and have true comparisons.  We can help you determine which lens is the best for your application!…. Unless you have some nice optical equipment and some time!


Contact us to discuss the application and we can help make a recommendation!  1st Vision has 100’s of lenses in stock for same day delivery!

Our lens webpage also highlights the resolution and distortion BUT again does not tell the whole story!  
Ph:  978-474-0044             

Imaging Basics: Calculating resolution for machine vision




Camera image resolution is defined by the number of pixels in a given CCD or CMOS sensor array.  This will be identified in a camera data sheet and shown as the number of pixels in the X and Y axis (i.e 1600 x 1200 pixels). 
The application will determine how many pixels are required in order to identify a desired feature accurately.  This also assumes you have a perfect lens that is not limiting resolving the pixel (see Demystifying lens specifications).  In general more pixels is better and will provide better accuracy and repeatability.  
 If for example you have a dark hole on a white background filling your field of view (FOV) by 90%, you will have many pixels across the feature.  On the contrary, if we have a small pin hole that is within the same field of view, we may not have enough pixels across the hole to identify the feature.  In order to find an edge you need at a minimum of 2 pixels given excellent contrast.  In order to be robust you ideally will want 3-4 pixels across a edge or feature.  
This leads us to identifying the resolution required given the size of a feature.   We will do this with an example and provide the needed formulas.  
Example:  The vision inspection is to locate a pin hole which is 0.25mm in diameter on a part which is 20mm square.  In order to compensate for any misplacement of the part, we will set our FOV to 40mm x 30mm.  We would also like to have a minimum of 4 pixels across the 0.25mm feature.  

We can calculate the resolution required as follows:


Rs is the spatial resolution (maybe either X or Y)

FOV is the field of view dimensions (mm)  in either X or Y
Ri is the image sensor resolution; number of pixels in a row (X dimension) or column (Y dimension)
Rf is the feature resolution (smallest feature that must be reliably resolved) in physical units (mm)
Fp is the number of desired pixels that will span a feature of minimum size.

For this case we know: 

FOV(x) =  40mm

Rf = 0.25mm
Fp = 4 pixels

Calculating the spatial resolution (Rs) needed:

Rs = Rf / Fp = 0.25mm / 4 pixels = 0.0625mm pixel

From the spatial resolution (Rs) and the field of view (FOV), we can determine the image resolution (Ri) required (we have only calculated for the x-axis) using this calculation:

Ri = FOV / Rs = 40mm / 0.0625 mm/pixel = 640 pixels

We have now determined that we need a minimum resolution of 640 pixels in the x-axis to provide 4 pixels across our feature that is 0.25mm in diameter. The camera resolution can now be selected!  In today’s world, we could select a VGA (640 x 480) camera for the application.  As a note, the number of pixels required depends on many aspects of lighting, optics and algorithms used for processing.  This calculation method assumes optimum conditions.     

If you do not like math, you can download our resolution calculator here and just enter the data.  This makes it easy to test various iterations.  Download the calculator HERE. 

If you visit our camera page, you can sort by resolution in X and Y resolutions to quickly ID cameras that meet your resolution needs. 

For all your imaging needs, you can visit www.1stvision or contact us! to discuss your application in further detail or receive a quote on a desired camera.  We can also help identify which sensor is best based on the imaging conditions.             

Low Cost imaging solutions starting @ $120 address remote focus and zoom up to 5MP

Industrial imaging applications ranging from medical and process monitoring to security and kiosks need cameras with highly functional lens control. Solutions need to be easily integrated and have the ability to remotely control the camera focus, zoom and light exposure. Depending upon the application, there are several solutions which are highlighted in this blog to satisfy a large range of applications.


Economical Solution  –  Feature rich

IDS’s Tiny XS 
IDS’s XS camera is perfect for applications requiring economical solutions which are small in size, lightweight requiring auto focus, automatic gain and remote digital zoom capabilities. Equipped with Aptina’s 5 Megapixel CMOS Sensor, the camera delivers excellent image quality and color reproduction.  Using the IDS Cockpit software, this camera sets up in minutes via a USB2.0 interface. 

Key Features:

  • Auto focus using a high resolution sensor (2592 x 1944 pixels)
  • Automatic Gain for varying lighting conditions
  • Remote Digital Zoom capabilities
  • Impressive video capture (5MP @ 15 fps) or higher frame rates with reduced resolution
  • Small, Light Weight – only 12 g and measuring 23×26.5×21.5 mm the XS is perfect for even the tiniest spaces.
  • Full manual control for all features available through the IDS free SDK which includes programming examples 
Want additional information?  Full Datasheets, manual and software can be found HERE


Low cost starting @ $120

IDS Video Class “Industrial Web Camera” – UV-1551LE

The IDS UV-1552LE-C USB Video Class camera uses a standard UVC driver with easy plug and play installation. Starting at $120 in volume, this camera is well suited where cost is most important.  No special drivers are needed. Just connect the camera to your computer and start receiving images just like a web camera!

The USB Video Class (UVC) standard 1.1 supported by the camera guarantees the use of the camera on all operating systems (Windows, Linux, Mac etc.)  The UV-1551LE-C camera is ideally suited for use as an industrial web camera in kiosks to video conference systems.

Configurations are available as a board level version with no lens mount (Model UI-1552LE) or with a S-mount lens adapter included (Model UI-1551LE).

Full Datasheets and manuals can be downloaded below for each version

For all your imaging needs, you can visit www.1stvision or contact us! to discuss your application in further detail or receive a quote.