Machine vision software enables industrial cameras to capture and analyse images for automated inspection, measurement, identification and process control.
Across the United Kingdom, manufacturers use vision systems to improve quality control, strengthen traceability and reduce reliance on manual inspection. The software must therefore match not only the inspection task, but also the camera interface, processing hardware and production environment.
VA Imaging supports UK manufacturers, OEMs, machine builders and system integrators with industrial cameras, lenses, lighting and related imaging components. We help customers match the hardware to their preferred software platform, operating system and automation requirements.
This guide explains the main types of machine vision software, how cameras connect to them and what UK engineering teams should check before deployment.
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Machine vision software converts images from an industrial camera into results that a production system can understand and act upon.
The software controls image acquisition, processes the image data and evaluates whether an object meets defined criteria. It may locate a part, verify an assembly, read a code, measure a feature or detect a defect.
Typical functions include:
Machine vision software can also record inspection data, archive rejected images and send results to factory systems for traceability.
Machine vision software types differ according to the stage of the application they support and the level of programming they require.
One project may use several software types. For example, a camera SDK may handle acquisition while an image-processing library performs inspection and a separate factory system stores the results.
| Software type | Main purpose | Typical user |
|---|---|---|
|
Camera acquisition software |
Camera setup, image capture and parameter control |
Engineers and technicians |
|
Graphical vision software |
Building inspections through configurable tools |
Automation engineers |
|
Image-processing libraries |
Developing advanced or bespoke algorithms |
Software developers |
|
Camera SDKs and APIs |
Direct camera control and custom integration |
Developers and OEMs |
|
Application-specific software |
Code reading, metrology or defect inspection |
Production and quality teams |
|
Deployment and management software |
monitoring, updating and managing systems |
Maintenance and IT teams |
|
Open-source tools |
Prototyping and custom development |
Research and development teams |
No-code, low-code and code-based machine vision software provide different levels of speed, control and customisation.
The right approach depends on the complexity of the inspection, the skills available within the engineering team and the need for long-term maintenance.
Machine vision software connects to industrial cameras through a driver, manufacturer SDK or standardised acquisition interface.
A camera manufacturer’s SDK may provide direct access to image acquisition and model-specific features. Standards such as GenICam and GenTL help compatible software communicate with cameras from different manufacturers.
GenICam provides a common structure for camera parameters such as exposure, gain, triggering, pixel format and region of interest. GenTL connects the application to the transport layer used to receive image data.
The full configuration should be checked for:
A camera may appear in the manufacturer’s own viewer but remain unavailable in another application if the required driver, SDK or GenTL producer is not installed.
Machine vision software for GigE Vision and USB3 Vision cameras must support the selected interface, acquisition method and required bandwidth.
GigE Vision cameras send image data over Ethernet. They are often used in UK factory automation where cameras must be positioned farther from the processing computer or distributed across a machine.
Selected models support Power over Ethernet, allowing power and data to pass through one cable. Multi-camera systems may require network configuration, suitable switches and bandwidth planning.
USB3 Vision cameras connect directly to a computer through USB 3. They are commonly used in compact inspection equipment, laboratory imaging and prototype systems with shorter cable runs.
| Consideration | GigE Vision | USB3 Vision |
|---|---|---|
|
Connection |
Ethernet network |
Direct USB connection |
|
Cable distance |
Generally longer |
Generally shorter |
|
Installation |
May require network setup |
Usually simpler |
|
Multiple cameras |
Scalable with suitable hardware |
Limited by USB bandwidth |
|
Power |
PoE on supported hardware |
Usually supplier over USB |
PC-based and embedded machine vision software differ in processing power, system size and deployment flexibility.
PC-based software may be better for multi-camera inspection, 3D vision, advanced measurement or customised interfaces.
Embedded software may suit applications where compact dimensions, lower power consumption and simplified installation are priorities.
| PC-based software | Embedded software |
|---|---|
|
Runs on an industrial PC or workstation |
Runs on an embedded processor or smart camera |
|
Supports complex and customised applications |
Suited to compact, dedicated systems |
|
Can manage several cameras |
Often uses a defined camera configuration |
|
Offers more expansion options |
Can reduce size and power consumption |
|
Usually requires more integration |
Can simplify standard deployments |
UK manufacturers should choose machine vision software by comparing the inspection task, hardware compatibility, development effort and production requirements.
Important criteria include:
Selecting the software and imaging hardware together reduces the risk of discovering compatibility or performance limitations later.
Machine vision software integration problems are often caused by configuration, bandwidth or compatibility issues rather than the inspection algorithm itself.
Common problems include:
Testing the system at full production speed is essential. A setup that works during a small proof of concept may behave differently when several cameras, higher resolutions or faster trigger rates are introduced.
Machine vision software performance, deployment and maintenance determine whether the system remains stable after commissioning.
Before deployment, check:
Software updates and configuration changes should be controlled carefully. Inspection settings, application versions and AI models should be backed up so that a working system can be restored if required.
Machine vision software applications in UK production include inspection, measurement, identification, traceability and automated handling.
Common uses include:
On a UK packaging line, for example, the software may locate a label, read a date code, compare it with the current batch information and save the result for traceability. It can then send a pass or reject signal to the PLC.
Artificial intelligence in machine vision software is used when product variation makes fixed inspection rules difficult to define.
Traditional rule-based vision works well for predictable dimensions, edges and positions. Deep learning may be more suitable for variable surfaces, irregular defects or classification tasks.
A typical AI workflow includes:
AI models should continue to be monitored after deployment. Changes in materials, lighting or production conditions can affect performance and may require further validation or retraining.
Image quality matters for machine vision software because the software can only analyse information that is clearly visible in the captured image.
Poor illumination, motion blur, insufficient resolution or an unsuitable field of view can prevent even advanced software from producing a stable result.
A complete system should therefore be designed around the industrial camera, machine vision lens, industrial vision lighting, working distance and inspected feature size.
Artificial intelligence cannot reliably recover details that were never captured.
Machine vision software integration manuals provide practical instructions for connecting compatible industrial cameras to third-party platforms.
Depending on the guide, the documentation may cover:
Get immediate access to practical integration manuals for HALCON, Cognex, MATLAB, LabVIEW and other supported environments.
Access the manualsMachine vision software support in the United Kingdom starts with selecting imaging hardware that is compatible with the chosen platform and production requirements.
VA Imaging supports customers throughout the United Kingdom with industrial cameras, lenses, lighting and related imaging components.
Our team can help assess camera resolution, frame rate, interface, working distance, field of view and triggering requirements in relation to the selected software.
Support for custom programming, software licences and platform-specific errors should be obtained from the software developer or an experienced machine vision integrator.
Need help matching a camera to your machine vision software? Contact VA Imaging to discuss your UK application.
