Where Technology Meets the Trade

by Mark Estrada, “Captn Striper”

Twenty years ago, when I stepped into the pavement marking industry, the future looked a lot different.

We measured parking lots by hand. We stretched string lines, snapped chalk, read plans, counted spaces and relied heavily on the experience of the person standing on the pavement. A good striper learned to see a parking lot before the first line ever hit the ground.

Today, I can stand on that same pavement and watch a robot perform layout work while artificial intelligence helps analyze information that once took hours to process.

That raises an obvious question: Where does the human fit into the future of striping?

My answer is simple. Right in the middle of it.

Automation Is Already Here
When people hear “automation,” they sometimes imagine machines replacing entire crews. I don’t believe that’s the most useful way to look at what is happening.

The better question is: What parts of our work can technology make safer, faster and more consistent?

Layout is a perfect example.

Traditionally, laying out a large parking lot can require significant time spent measuring, marking and verifying dimensions before production begins. Robotic layout technology has the potential to automate portions of that process and give crews a highly accurate starting point.

I’ve had the opportunity to work with robotic layout technology in real-world conditions, and when you watch a machine establish points and connect a layout, it’s difficult not to recognize where the industry is headed.

But I’ve also learned something equally important.

A robot doesn’t understand the parking lot the way an experienced striper does.

It doesn’t know that the plans don’t quite match the existing conditions. It doesn’t automatically understand why a particular transition will look wrong to the customer. It doesn’t have years of experience telling it when something on paper simply doesn’t make sense on pavement.

That still takes a person.

AI Will Move Beyond the Paint Machine
The biggest changes may actually happen before the striping machine ever leaves the trailer.

Think about how much information moves through a pavement maintenance company every day: estimates, measurements, photographs, proposals, schedules, material quantities, production reports, safety documents, customer communications and job-cost information.

Artificial intelligence can help contractors organize and interpret that information much faster.

An estimator could use AI-assisted systems to analyze measurements and historical production data. Operations teams could identify scheduling conflicts earlier. Project managers could compare estimated quantities with actual material usage. Training programs could become interactive instead of relying solely on manuals sitting in a truck or office.

Eventually, our equipment will likely become part of that same information loop.

Imagine a striping machine that doesn’t simply pump paint but also helps track application rates, material consumption, environmental conditions and production.

That’s when paint equipment begins to become something more than equipment.

It becomes information.

Paint Has to Evolve, Too
Innovation cannot stop with robots and software.

The material coming through the gun matters just as much.

I’ve spent time working around traffic paint development and studying how coatings perform under actual field conditions. Contractors deal with challenges that don’t always show up on a product data sheet: premature tracking, color retention, drying conditions, surface contamination, heavy forklift traffic, tire wear and changing pavement conditions.

The next generation of pavement markings should not focus only on durability. We should continue pushing for materials that provide better performance, greater visibility and safer surface characteristics while remaining practical for contractors to apply.

Eventually, smarter equipment and better materials may work together.

Machines could help operators recognize when application conditions change. Production data could tell us how a coating actually performs over thousands of installations instead of relying solely on controlled testing.

That feedback could help manufacturers build better paint and help contractors apply it correctly.

The Person in the Loop
This is the part of the technology conversation that matters most to me.

We cannot automate ourselves out of understanding the craft.

A new operator still needs to understand application rates, tip selection, pressure, surface preparation, paint chemistry and glass beads. They need to know ADA requirements. They need to understand why a line is tracking, why paint isn’t drying correctly and why a layout doesn’t work even though the measurements technically add up. And sometimes, after all the technology, measurements and data, you still have to smooth things out with a client the old-fashioned way—with a conversation and a handshake.

Technology can help teach those things.

It cannot make those things irrelevant.

In fact, as automation becomes more capable, skilled operators may become even more valuable because someone has to recognize when the machine is wrong.

A robot can connect the line. The operator still owns the result.

The Skills Gap Makes This More Important
Our industry faces the same challenge as many trades: finding and developing skilled people.

Automation can help.

If technology reduces repetitive measuring, simplifies documentation, improves training and makes equipment easier to operate, we may be able to bring new people into the industry faster.

But faster cannot mean untrained.

We need to use these tools to transfer knowledge, not replace it.

The people who have spent decades learning this trade carry information that doesn’t exist in an instruction manual. Our opportunity is to combine that experience with new technology and pass both to the next generation.

The Next Line
Twenty years in this industry have taught me not to get too comfortable with the way things have always been done.

I’ve striped with traditional equipment. I’ve watched machines and materials evolve. Now, I’m watching robotics and artificial intelligence enter the same trade that once taught me to stretch a string line across a parking lot.

I’m excited about where we’re going.

But I’m equally protective of where we came from.

The future of pavement marking isn’t human versus machine.

It’s experienced people using better tools.

The technology will continue changing. The equipment will get smarter. The data will get better. Robots will become more capable.

But when the trailer door opens and the crew steps onto the pavement, somebody still has to understand what a quality job looks like.

That part of the future is still human.

Happy striping!

Mark Estrada is director of operations for Rose Paving LLC in Houston and a pavement marking educator.