How Point-Cloud Matching will Revolutionize Auto Manufacturing

July 3, 2019  By Jubei Hughes

The applications for point-cloud matching technology in the automotive industry are limitless.

How do computers use photography and scanning technology to create 3D models of the world around them? It’s an important question, and one at the heart of many of the latest ground-breaking technologies that are currently transforming the automotive industry.

The answer lies in point-clouds: data drawn from scans of an environment or from a photograph that computers can compare against a model to determine reference points. Effective point-cloud utilization comes in two parts: first, the collection of point-cloud data, and second, the analysis and deployment of that data for practical purposes. Or, to think of it differently, these two pieces of technology are like the eyes and the brain: the eyes take in visual data, but it is up to the brain to interpret that data and decide what to do with it.

While many businesses focus on the eye, seeking to gather more complete or more detailed point-cloud data sets, we focus on the brain. Our proprietary technology, the Inora Affinity System (ASYS) can work with any point-cloud system to deliver actionable feedback. What’s more, ASYS functions reliably with almost any point-cloud, even ones that contain only partial information or with limited point-cloud resolution.

As a result, our system can deliver more accurate results faster than any other system on the market. And when it comes to the automotive industry, the implications are significant. Here are the top three most important ways the point-cloud matching capabilities of ASYS will revolutionize auto manufacturing.

Research and development: Faster iteration of design models.

Any new technology must undergo extensive revisions on its long path toward perfection. But in an industry such as automotive, those iterations must also pass through constraints that mandate the newer vehicle models can meet various compliance regulations. This can slow down the R&D process, even if it results in safer roads.

Applying point-cloud matching technology to this situation, combined with powerful simulation software, would have the effect of helping business design and test every component of a vehicle’s design throughout the process. For the simulation to be effective, it not only requires high-quality data, but technology that can interpret that data and produce an accurate model for the simulation to test.

We can design ASYS in a custom application that would speed up the R&D process at any stage, allowing for faster iteration and more accurate simulations.

Quality control: Automatic identification of manufacturing errors.

R&D and quality control are tightly related. Both rely on accurate models of a manufactured part that can be tested against an engineering design. But where R&D might rely on simulation, quality control is looking for any deviation from a standard tolerance limit.

ASYS can measure a manufactured component against its design intent with a finer degree of accuracy than any other point-cloud matching system on the marketing. With additional feedback data, such as absolute direction and magnitude of any deviation, manufacturers not only know when they have an error, but can more rapidly identify where the mistake lies and how best to remedy it. For an industry where quality is an obsession, this type of insight could make the difference between a successful model, and a lemon.

Autonomous vehicles: Real-time recognition of moving objects in a dynamic environment.

Perhaps the most exciting application of point-cloud technology involves its use in autonomous vehicles. Driverless cars not only need to be able to scan their environment and interpret the data, they must do so rapidly to keep pace with that environment as it changes around them. In most cases, this data must be detailed, and the computation power required to process it can be significant.

However, ASYS provides a much more light-weight solution that can compute much faster than current methods. And it does so with lower quality data, so that even if the scanner only picks up a piece of an object in passing, it can identify it and respond accordingly.

If that swift response time allows vehicles to travel more safely, make better autonomous decisions, or even drive faster because of enhanced digital reflexes, then it could give an autonomous manufacturer a significant edge over others in the automotive field. And that’s just scratching the surface.

ASYS is the new global standard for point-cloud matching technology in the automotive industry.

Point-cloud matching technologies have improved significantly over the years, but most are still limited by inherent systematic constraints that tie them to improvements in data gathering technology. Only ASYS has the analytic capabilities to deliver real-time feedback at higher levels of accuracy, even with limited data sets.

From R&D to quality control to AI, auto manufacturers that choose ASYS are poised to outpace their competition. And it’s not just the automotive industry either: aerospace and other manufacturers are also finding applications for our technology. We can accomplish the same for your business. Are you ready?