How to be successful in line scan applications

“A line scan system is only as good as its weakest component”

Granted, any system is only as good as its weakest component. But with some systems one can cut corners here or there and get away with it. With line scan mostly not. But the rewards of getting it right can deliver effective applications with excellent return on investment.

Some key line scan systems components – Photo credits clockwise from top left: Kowa, JAI, Shutterstock, Teledyne DALSA.

Success depends upon balancing all of the following:

  • Camera 
  • Lens 
  • Lighting 
  • Motion system 
  • Encoder 
  • Mechanical stability 
  • Image processing 

Below we’ll look at each of these in turn.


Camera (and the sensor it contains)

One selects a line scan camera containing typically “one narrow row” of pixels. The row’s length is chosen to correspond to the width of the thing you are inspecting. The other dimension for the 2D application comes via the motion of the object past the camera – or vice versa.

Left: A representative line scan camera – Courtesy Teledyne DALSA

The “narrow row” may be 1, 2, or sometimes 3 or 4 pixels deep. A single pixel row offers the lowest cost, and can be sufficient for some applications. Adding a second or third pixel row, typically offset or staggered with respect to the adjacent row, offers improved resolution.

Line scan cameras may be monochrome or color in the visible (VIS) range. Or SWIR in the infrared portion of the spectrum. Or blended VIS-SWIR.

Right: Representative line scan camera front and back sides – Courtesy JAI.

There are several tens of line scan cameras from which to choose.


Lens

The lens focuses the target object onto your camera’s sensor, so the photons are captured in the pixel well and digitized for subsequent interpretation. Don’t cut corners on the lens.

Certain lenses are optimized for line scan applications. You may or may not need that. Call us at 978-474-0044 so we can help you make a good choice.

Left: LF high-resolution large-format machine vision lenses – Courtesy KOWA.


Lighting

Successful image processing depends on sufficient contrast to differentiate amongst details. While the sensor and the lens are critical, so too is lighting. In fact good lighting can sometimes permit using a “lesser” sensor or lens. Or achieving ambitious outcomes otherwise not possible without attention to lighting.

See our Knowledge Base Techbriefs on lighting. Each may be downloaded for free.

Motion system

As noted above in the camera segment, the other dimension for the 2D application comes via the motion of the object past the camera – or vice versa. This is the key aspect of line scan systems – there’s a never ending dimension in the direction of motion, and each image is a time-slice from that continuous movement.

One can move the “product” along a conveyer belt, “web” of spooled paper, etc., while holding the line scan camera and lighting fixed. Or one can move the line scan camera across the product, as with a flatbed scanner.

Ideally the motion should be continuous speed – or if variable use an encoder (see below). Capable of long use without a lot of frequent re-calibration beyond scheduled service maintenance. And with little variability in the third dimension – unless of course your application is a blend of line scan and height profiling, such as laser profiling.

Encoder

For variable speed product motion, e.g. conveyor belt with non-uniform speed during imaging, an encoder converts the rotary motion of a gear or transport wheel into electrical signals correlated to the speed of rotation.

Those signals can drive the shutter trigger on the camera.

Image royalty free – Courtesy Shutterstock.


Bonus blurb – calculating line rate

Related to how to make the whole system come together… and certainly tied to the motion system and encoder segments above, see our blog from some months ago on how to calculate line rate based on conveyor speed. That blog includes a downloadable spreadsheet with labeled fields and examples… and embedded formulas.


Mechanical stability

There’s no obvious graphic to show for this one, but one doesn’t have to be a mechanical or an optical engineer to get the point. Unplanned motion is highly undesirable, as all those lens and sensor choices are based upon a stable environment.

Sure, motion in one dimension is a given with line scan, but fast shutter takes care of that. But “wiggle” in the dimension of the pixel line, or height variability of the product being inspected – or of the line scan camera itself, introduce blur and uncertainty. Or the need to compensate for it.

Image processing

Machine vision is all about letting software interpret the image, adding value through speed, accuracy, tirelessness, and consistency. From camera configuration and control through image processing, you have a range of options.

There are camera manufacturer SDKs, third party software, and open source choices. And OS options including Windows, Linux, and various embedded systems platforms.

Sapera LT SDK windows – Courtesy Teledyne DALSA

1st Vision’s sales engineers have over 100 years of combined experience to assist in your camera and components selection.  With a large portfolio of cameras, lenses, cables, NIC cards and industrial computers, we can provide a full vision solution!

About you: We want to hear from you!  We’ve built our brand on our know-how and like to educate the marketplace on imaging technology topics…  What would you like to hear about?… Drop a line to info@1stvision.com with what topics you’d like to know more about.

#linescan

JAI WAL-1001-GE and 2001 SWIR line scan cameras

The JAI WAL-1001-GE and -2001- are compact GigE 1K SWIR line scan cameras with InGaAs sensors designed for high-speed industrial inspection using a high-sensitivity InGaAs sensor. While there are a number of area scan SWIR cameras on the market, line scan SWIR is a smaller niche. But if it gives you a competitive edge or innovative solution – it’s not a niche for you.

JAI WAL-1001-GE SWIR line scan camera – Courtesy JAI
SWIR sees things that VIS cannot – Courtesy JAI

Optional review on SWIR and line scan

Just in case you’re coming at this from a VIS (visible spectrum) and/or area scan context…

SWIR – Short Wave Infra Red – uses a segment of the spectrum not visible to the human eye nor CMOS sensors used for VIS imaging. But SWIR is very effective at “seeing” things not revealed in VIS. For more on SWIR see our blog and/or knowledge-based article.

Line scan – unlike area scan images that capture a large 2D view and whose framerates are limited by data volumes, line scan sensors are just one or two pixels wide while hundreds or thousands of pixels long.


Two example applications before camera details

Here are two representative SWIR line scan applications. There are many others as well.

Semiconductor inspection: Detect flawed wafers early in production to avoid shipping flawed product, to reduce production costs, and and increase yield.

VIS image (left) only finds the large crack; SWIR image (right) also finds smaller upper crack – Courtesy JAI

Plastic seal inspection: SWIR imaging reveals contrasts that are not visible with standard visible-light imaging. In this example, the heat seals in a plastic bag needed to be inspected to ensure that the seal was strong and consistent.​ The bags are produced in a continuous production process, where a single line-scan camera can capture the seams as the product moves through the system.

SWIR clearly reveals seal quality better than VIS – Courtesy JAI

JAI WAVE WAL 1001 GE and -2001- camera highlights

For full details, including data sheets, tabular overview, etc., see both the SWIR line scan and area scan JAI WAVE cameras at our website. Here we call out just a few highlights.

1024 px at 29 kHz or 2048 px at 40 kHz:

(WAL-1001-GE and WAL-2001-GE, respectively)

1k at 29 kHz or 2k at 40 kHz – Courtesy JAI

Sensor layouts on 1001 vs 2001 models:

Single row of pixels on 1001, vs. 2 stagger-offset rows on 2001 – Courtesy JAI

How much resolution do you need?

Resolution outcomes from 1001 vs 2001 models – Courtesy JAI

Key point: The 2k camera captures with both of the offset lines, this offset will reveal sub pixel details revealing smaller defects.

It will also oversample the sensor running at twice the normal speed to get the same level of detail in the movement direction. It will then output an image with the equivalent of a 2k sensor with half the pixel size. ​

Doubling down on the 2 row camera, for emphasis

While the 1k camera is already enough for many applications, let’s spend a moment longer on the 2 row WAL-2001-GE model. The biggest value proposition in this model is:

Doubled resolution for enhanced defect detection​
A 0.5-pixel offset design effectively doubles sampling density, enabling reliable detection of sub-pixel-scale defects beyond the limits of conventional 1K cameras.​

But it’s also worth noting:

Optimized cost-to-performance ratio​

The dual-row 1K sensor configuration replaces a native 2K sensor, delivering high-resolution infrared imaging while reducing overall system cost.​

…and

Internal image synthesis for simplified system design​
The 2K image is synthesized in real time inside the camera, eliminating the need for an external acquisition card and reducing both system complexity and latency.​

Resolution differences

Below, created under identical conditions, see the expected higher resolution with the 2k camera utilizing the 2 rows of pixels offset against each other.

Comparing resolution outcomes on an intentionally challenging example – Courtesy JAI

1st Vision’s sales engineers have over 100 years of combined experience to assist in your camera and components selection.  With a large portfolio of cameras, lenses, cables, NIC cards and industrial computers, we can provide a full vision solution!

About you: We want to hear from you!  We’ve built our brand on our know-how and like to educate the marketplace on imaging technology topics…  What would you like to hear about?… Drop a line to info@1stvision.com with what topics you’d like to know more about.

#JAI

#SWIR

#Linescan

#WAL-1001-GE

#WAL-2001-GE

Camera interfaces update

Machine Vision Interfaces

In 2025 we released a blog and a revised TechBrief on machine vision camera interfaces. Things continue to evolve, as 25 GigE and 100 GigE cameras are now available. So here we call out those new entries to our updated TechBrief Camera Interfaces Explained, available for free download from our Knowledge Base.

Machine Vision Interfaces
Some common machine vision interfaces

Camera interfaces often come to the market as derivative or augmented standards from computer networking. This is certainly the case as ethernet evolved to GigE, 5 GigE, 10 GigE, and now 25 and 100 GigE, respectively. The networking pioneers tend to be the early adopters, and the cable manufacturers and interface designers develop the gear while the software and firmware leaders refine the protocols.

The global machine vision industry, while valued annually at more than $20 billion USD, benefits by riding the networking coattails, typically a few years behind the networking early adopters. That has the advantage that the protocols have matured and the third-party cables are on the market. So the machine vision standards developers – and the camera adopters inherit all that’s come before.


Seeing is believing: Note resolution and FPS columns below

In the 25 GigE and 100 GigE collections below, note both:

  1. Some large sensors at impressive frame rates – e.g. 105 MP at 112 fps
  2. Some medium sized sensors at incredible frame rates – e.g. 12 MP at 660 fps
25 GigE cameras in 1stVision’s portfolio
100 GigE cameras available at 1stVision

An interface for every application requirement

Whether your application needs only a few frames per second, from a modest sized sensor, with the camera near the PC host – or bandwidth intensive requirements – possibly at significant cable length – there’s likely an interface suited to your needs. Download the updated free TechBrief.

Alternatively, start with camera selection, and let that drive the interface. That method works too, as camera manufacturers typically design-in the interface optimal to move the data volumes off the sensor, for the type of applications they designed the camera for. But sometimes the same sensor is found with two or more interface options – so it’s helpful to be “interface-aware” when selecting among cameras.

1st Vision’s sales engineers have over 100 years of combined experience to assist in your camera and components selection.  With a large portfolio of cameras, lenses, cables, NIC cards and industrial computers, we can provide a full vision solution!

About you: We want to hear from you!  We’ve built our brand on our know-how and like to educate the marketplace on imaging technology topics…  What would you like to hear about?… Drop a line to info@1stvision.com with what topics you’d like to know more about.

#25GigE

#100GigE

JAI Wave WAA-1300-GE-TEC VIS SWIR camera

The Wave WAA-1300-GE-TEC combines visible and short-wave infrared (SWIR) sensitivity in a single camera, enabling enhanced material contrast, improved defect detection, and more reliable inspection results. With sensitivity from 400 nm to 1700 nm, the camera can reveal features and material characteristics that may not be visible using standard imaging technologies.

Wave WAA-1300-GE-TEC SWIR camera – Courtesy JAI

Applications

Semiconductor alignment:

SWIR sees through silicon layers to find alignment marks. This enables precision through successive process layers. Image courtesy of JAI.


Fruit and vegetable sorting:

VIS + SWIR working together can identify bruising, ripeness levels, early spoilage, and more. Image courtesy of JAI.


Laser beam profiling:

SWIR enables measuring beam shape, intensity distribution, and alignment. Image courtesy of JAI.


Recycling and material sorting:

In VIS two clear plastic bottles might appear the same, but SWIR can see their different response in it’s portion of the spectrum – allowing different handling. SWIR enables measuring beam shape, intensity distribution, and alignment. Image courtesy of JAI.


Some of the key Wave WAA-1300-GE-TEC VIS SWIR features – Courtesy JAI

Utilize diverse spectral responses to your advantage

The application areas above are just representative, and are not meant to be exhaustive. The key point is that diverse materials provide differing spectral responses under appropriate light (including natural light).

Applications may be designed to identify and differentiate materials according to their spectral properties. Sensors, cameras, lighting, and lenses are available for machine vision applications that draw upon each of UV, VIS, IR, NIR, SWIR, MWIR, and LWIR portions of the spectrum. And combinations thereof – like the VisSWIR JAI Wave WAA-1300-GE-TEC.


1st Vision’s sales engineers have over 100 years of combined experience to assist in your camera and components selection.  With a large portfolio of cameras, lenses, cables, NIC cards and industrial computers, we can provide a full vision solution!

About you: We want to hear from you!  We’ve built our brand on our know-how and like to educate the marketplace on imaging technology topics…  What would you like to hear about?… Drop a line to info@1stvision.com with what topics you’d like to know more about.

#TEC

#VISSWIR

#JAI