JLI vision a/s

13/03/2025

Transitioning from relying on the judgment of an inspector to a machine vision system isn’t always straightforward. Manual quality control depends on subjective, experience-based decisions that can be difficult to replicate in an automated system.

Learn how to best address the challenges in this article: https://hubs.la/Q038xllH0

25/02/2025

We often work with global companies that have production sites in different parts of the world and want to implement the same type of vision system on several production lines.

But can you always be sure that two identical vision systems will deliver identical results?

In reality, small deviations across systems can lead to noticeable differences in results. This can happen due to component variations, positioning inconsistencies, ageing of components, etc.

But with the right standardization of systems, you can make sure that the systems deliver similar results in quality control.

Read how we ensure that in this blog post: https://hubs.la/Q037X6t70

20/02/2025

Something very interesting is cooking in our lab these days…

We are currently working on one of our biggest pre-projects for a major manufacturer in the automotive industry. Details are classified, but we can reveal that it involves finding up to 20 different defect types on a highly complex die-cast item. The item is challenging both in terms of size, geometry, and the surface itself, and it involves advanced machine vision, AI, 3D, and robot technology.

A real-life example of what pushing the boundaries of machine vision looks like.

More to follow…

17/12/2024

Where is machine vision heading next year?

No doubt, AI will be setting the agenda. The rapid development of AI presents new challenges by requiring massive data inputs and opens up new opportunities through the ability to process huge data outputs.

New technologies mean that the ability to collect, exchange, generate, and utilize large amounts of data will be crucial for creating cutting-edge machine vision solutions going forward.

Read more about how we expect machine vision to evolve in 2025 in this blog post

AI advancements are setting the agenda for machine vision in 2025 and opening up new possibilities for enhanced production efficiency.

10/12/2024

We recently launched our new standardized surface inspection system, Surface Control AI, made to help you achieve 3 important benefits in your production:

- Improve product quality through consistent and accurate inspections
- Improve efficiency by automating labor-intensive manual tasks
- Improve yield by speeding up production flow and reducing discard

Read more about it here: https://hubs.la/Q02-V9h50

05/12/2024

What’s the cost of an automated surface inspection system, and when is it worth the investment?

Find out what are the costs and benefits of an automated surface inspection system and how to calculate ROI.

19/11/2024

Imagine you have two tablets next to each other. Both the same size, and the same white color. Seemingly the same. With the human eye or a regular camera, you can't tell them apart, but in reality, the chemical composition is different.

You could easily imagine a quality control task of differentiating between materials that on the surface look the same, and while it may sound like an impossible task to solve with a vision system, it's not.
Learn more in this blog post about hyperspectral imaging:

How hyperspectral imaging unveils invisible differences in materials, enhancing quality control in various industries.

04/11/2024

We are proud to announce that JLI just received the gazelle-award for the third year in a row 🎉

28/10/2024

The quality control challenges in the manufacturing industry are numerous and complex, but an advanced machine vision solution can help solve many of these challenges.

The primary challenge is of course to ensure accurate and consistent product quality, which requires close attention to detail at every stage of the production process.
In addition, manufacturers must also be able to detect defects in their products quickly and efficiently, so that quality is never compromised.

Manufacturers face constant pressure to meet deadlines and generate high volumes, without compromising quality or incurring excessive costs. To achieve these goals, manufacturers must continuously evaluate their processes and identify opportunities for improvement.

In this blog post you learn more about how you solve these challenges with machine vision:

The quality control challenges in the manufacturing industry are numerous and complex, but let's explore how advanced machine vision can help solve them.

22/10/2024

What is the cost of an advanced vision system?

The price of a vision system is dependent on the complexity of the project, and the complexity depends on a wide range of factors. However, we know them so well that we would like to give you an indication of how complex your vision project is and what it will cost.

Learn more here:

The price is dependent on the complexity of the project, but we would like to give you an indication of how complex your project is and what it will cost.

16/10/2024

If you buy 5 identical vision systems and place them in 5 different factories - can you be sure of the same result from your quality control? Far from it. But there are ways you can ensure you get consistent quality across your production lines. In this video, vision engineer Martin Falk Jensen, explains how you ensure that multiple vision systems perform the same way

Watch as vision engineer Martin Falk Jensen explains the challenges of automating a manual inspection task

07/10/2024

Investing in a machine vision system is a significant step towards enhancing the quality control processes in industrial manufacturing.

However, to ensure that this investment stands the test of time, it is imperative to embed robustness into every aspect of the solution. In this blog post, we delve into the intricacies of creating a technically robust machine vision solution, focusing on hardware, software, and processes.

Learn more here:

To ensure that your investment in machine vision stands the test of time, it is imperative to embed robustness into every aspect of the solution.