AR-Giri ESP

AR-Giri ESP Crear instrucciones paso a paso con el teléfono inteligente. Reducir la tasa de error en un 62,3%.

27/03/2026

Unlock the secrets of effective machinery operation in our latest technical demonstration. This video takes you inside a workshop setting where an expert showcases essential techniques and insights related to machinery and equipment management.

Key takeaways from this video include:

- **Expert Machinery Operation**: Watch as our skilled engineer navigates complex control panels, adjusts mechanical components, and utilizes various tools to optimize processes. Learn firsthand techniques that can enhance your operational efficiency.

- **Hands-On Technical Skills**: Delve into the practical aspects of working with machinery. This video provides a comprehensive overview of the tools and methods used in industrial settings, offering viewers a chance to see best practices in action.

- **Focus on Process Improvement**: Discover how these techniques can lead to reduced error rates and higher productivity. The demonstration emphasizes the importance of standardizing workflows for better outcomes in production and manufacturing environments.

Join us as we explore the vital skills required to operate machinery effectively. Whether you're a production manager, a technician, or an IT professional in the manufacturing sector, this video is packed with valuable insights that can help streamline operations and improve overall efficiency. Don’t miss this opportunity to elevate your understanding of technical processes and enhance your workplace performance.

📦👓 AR/VR Throwback: Google Cardboard — the $10 headset that made everyone believe.Before “spatial computing” became a ke...
17/03/2026

📦👓 AR/VR Throwback: Google Cardboard — the $10 headset that made everyone believe.

Before “spatial computing” became a keynote word… there was Google Cardboard.

A literal piece of cardboard, two lenses, a rubber band (sometimes), and your smartphone as:
✅ computer
✅ display
✅ sensor pack

The first time I tried it, I had that classic reaction:
“Wait… this is actually working?!”

It wasn’t perfect. Not even close.
• you could feel the phone heating up
• tracking was “good enough” (until it wasn’t)
• comfort was… cardboard-level 😄
• and after a while you’d definitely notice your eyes

But that’s not the point.

What Cardboard did better than most “serious” headsets

It removed the #1 blocker for adoption:

Access.

No procurement cycle.
No IT approvals.
No training.
No budget discussion.

You could hand it to someone and within 30 seconds they’d go:
“Ohhh. Now I get it.”

And that single moment created more AR/VR believers than a thousand PowerPoint decks ever could.

The real lesson (still relevant today)

For industrial XR, we often obsess about specs:
FoV, tracking, resolution, waveguides…

But Cardboard reminds me:
The fastest way to scale a new interface is to reduce friction, not to add features.

Sometimes the “toy” is the best Trojan horse:
• to teach teams how to think spatial
• to get stakeholders to experience immersion
• to start a pilot culture (before you spend serious money)

Question: What was your first “wow” moment in XR — Cardboard, Gear VR, HoloLens, Vive… or something else?




Join 16,000+ operations & Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

🪞📱 AR Glasses Throwback: Mira Prism — the “why didn’t we think of that?!” moment in AR.I still remember the first time w...
14/03/2026

🪞📱 AR Glasses Throwback: Mira Prism — the “why didn’t we think of that?!” moment in AR.

I still remember the first time we tried Mira Prism.

The concept was beautifully simple:
• it’s basically a phone holder
• you put your smartphone on top
• and the image gets reflected into your eyes via the optics

So your phone becomes:
✅ the computer
✅ the display
✅ the content pipeline

And we honestly thought: “Wow. This might be a gamechanger.” 

The catch (and why it didn’t become “the” solution)

The display was sharp at roughly 30–50 cm in front of your eyes.

For short demos? Fine.
For real work sessions? That focal distance turns into eye strain / headache after a while.

It’s a classic AR lesson:
a clever concept can be 90% right — and still fail on the 10% that matters for long sessions.

What I respect about Mira: they kept moving

After Prism, they pushed further into industrial direction (including more “job-ready” form factors like helmet-based ideas).

And recently they made another pivot: they raised ~$6.6M to go after consumer AI glasses. 

That’s not failure—that’s iteration.
In wearables, the winners are usually the ones who learn fast and pivot faster.

Question: What do you think matters most for “everyday” AI glasses: comfort, battery, privacy, audio, or a tiny display?




Join 16,000+ operations & Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

🕶️🚀 AR Glasses Throwback: HoloLens 1 — the device that started the hype (and accidentally created a hardware famine)The ...
12/03/2026

🕶️🚀 AR Glasses Throwback: HoloLens 1 — the device that started the hype (and accidentally created a hardware famine)

The HoloLens 1 was one of the first headsets that made people feel like:
“Okay… this is Star Wars. This is the future.”

You put it on — and suddenly the room had holograms.
For a long time, it also felt like the only “real” AR device you could seriously build on.

And that’s where our story gets personal:

When we built the first version of GIRI (back then it was still called GINI), we were kind of dependent on HoloLens 1.
Not “nice to have.”
Our software only worked on that headset at the time.

Then reality hit: hardware disappears

At some point Microsoft stopped producing HoloLens 1—and suddenly there were no devices available for what felt like forever.

So we did what any desperate AR company does in that moment:

We reached out to innovation labs and asked:
“Do you still have your HoloLens… just lying on a shelf?”

Turns out: many labs had tried it a few times, got the wow-moment… and then parked it.

We bought those units, refurbished them, and kept them alive so we could keep delivering our software.

There was a period where the market was simply empty.
No supply. No easy replacements. Just “make it work.”

And yes—back then we even had to repair headsets ourselves.

I still remember the running joke in the team:
“Jogi broke a HoloLens… once again.” 😄

The real lesson

Industrial AR doesn’t fail on visions.
It fails on availability, maintainability, and boring operational reality.

Because your roadmap can be perfect—
but if you can’t get reliable devices into the hands of users, nothing scales.

Question: What’s your best “hardware scarcity” story—when you had to get creative just to keep a project alive?




Join 16,000+ operations & Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

🕶️⚡ AR Glasses Throwback: Vuzix Blade — the first time AR felt like superpowers.I genuinely loved the Vuzix Blade.Not be...
10/03/2026

🕶️⚡ AR Glasses Throwback: Vuzix Blade — the first time AR felt like superpowers.

I genuinely loved the Vuzix Blade.

Not because it had the most features.
Not because it was the flashiest.

But because, at the time, it was one of the smallest and simplest “industrial-capable” smart glasses you could put on your face.

The magic was in the simplicity

It showed information only in front of one eye.
That sounds like a limitation — but in real work it’s a feature:

You stay aware of your environment, and you get just enough guidance to keep moving.

A funny (and very real) detail

They had this small quirk:
If you slightly bent the frame, the three color channels could shift and mix.

Our workaround was beautifully pragmatic:
We used one color + one area at a time. Done. ✅

Where it got really interesting

Our partner BMW used the Blade together with:
• the ProGlove (hands-free scanning workflow)
• a QR code scanner
• micro-instructions pushed right into the line of sight

And that combo was the first time AR felt like actual superpowers for production:

Because it was smooth.
No “weird UX milliseconds.”
No distracting lag.
No floating UI fighting for attention.

Just: scan → instant info → next step.

That’s the moment you realize what industrial AR is really about:
latency kills flow — and flow is the whole point.

Question: What was the first setup where AR (or wearables) genuinely felt like a productivity upgrade—not a tech demo?




Join 16,000+ operations & Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

Your SOP portal is not “digital transformation”.It is a graveyard for 10-page Word files nobody opens.I saw that again a...
06/03/2026

Your SOP portal is not “digital transformation”.
It is a graveyard for 10-page Word files nobody opens.

I saw that again at a global beverage manufacturer.
500+ technicians.
One huge portal.
Hundreds of “controlled” Word, Excel, PowerPoint SOPs.

On paper everything looks perfect.
On the shopfloor nobody scrolls through 10 pages to clear one fault code.

The Operations Lead had a great name for that gap.
He called it the “Haynes Manual” problem.

He wanted something simple and visual.
Not a novel.

Here is the shift that works in plants:

• Stop writing text-heavy SOPs.
• Record the expert doing the task in one run.
• Add AR arrows for safety and quality checks.
• Print a QR code and stick it on the machine.

Now the SOP is not in a portal.
It lives on the line.

Creation time drops by a factor of ten.
Updates take minutes, not hours.
Frontline can solve problems in the flow of work.

I see another nice side effect:
Workers feel proud when they can run more machines.
They do not wait for “the one expert” anymore.
They scan, follow, and run.

Your tribal knowledge turns into something any new hire can use on day one.

Is your team still “writing” SOPs in the office, or do you already record them where the work happens?

Join 15,000+ operations and Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

🤿🕶️ AR Glasses Throwback: The early Ather Air days… when we almost “drowned” the headset.I still remember our first time...
05/03/2026

🤿🕶️ AR Glasses Throwback: The early Ather Air days… when we almost “drowned” the headset.

I still remember our first time using the first version of Ather Air.

They looked a bit like diving goggles — and honestly, they behaved like AR diving goggles too:
as if water got into the electronics. 😅

Nothing was smooth. Nothing was plug & play.

One moment that’s burned into my memory:
It took us an entire evening just to get the glasses onto the Wi-Fi.

Not “set up your enterprise deployment.”
Not “integrate into IT.”
Just… connect.

And that’s the real story of early AR:
Not the stage demos.
The reality of devices that were still half prototype, half product.

But here’s what I respect a lot:

Ather didn’t try to win by hardware perfection forever.

They made the smart pivot and shifted toward software — and that’s where they became truly successful.

Because in industrial AR, the long-term value is rarely the headset alone.
It’s the workflow layer: content, UX, rollout, updates, and reliability at scale.

Question: What’s the “AR setup war story” you’ll never forget? 😄




Join 16,000+ operations & Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

🧪🕶️ AR Glasses Throwback: the “self-built” German university glasses that were brutally pragmatic (and surprisingly smar...
03/03/2026

🧪🕶️ AR Glasses Throwback: the “self-built” German university glasses that were brutally pragmatic (and surprisingly smart)

Among the dozens of devices we’ve tested, some of the most useful weren’t the prettiest—or even commercial products.

One of my favorites was a pair of self-built glasses from a German university.
No design awards. No shiny marketing.
Just: pragmatic + functional.

Their superpower was pure “industrial thinking”

1) 8+ hours battery life
Not “demo life.” Real shift life. The kind of runtime operators actually need.

2) A big display—because they used a big ‘glass brick’
It wasn’t elegant, but it solved the real problem: you can actually see the information.

3) Readable text, intentionally simple
I think the concept was: push a big, clear line of text via Bluetooth—and that’s enough for many workflows.

And that’s what I loved: the use case was well thought out.
No feature overload. No “AR metaverse.”
Just: “What does a worker need right now—reliably?”

The sad part

The market didn’t really reward that approach.

Because “getting one use case right” is not always the loudest story.
It’s not as sexy as AI overlays, 3D animations, or futuristic demos.

But in industry, that’s often the difference between:
• something people try once
vs.
• something that becomes standard work

Question: If you could build the most pragmatic industrial glasses possible—what would you optimize for first?
Battery, readability, comfort, robustness, or integration into existing tools?




Join 16,000+ operations & Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

🕶️🔊 Glasses Throwback: Bose Frames Rondo — the “smart glasses” I actually used.Quick anecdote:I put on the Bose Frames R...
28/02/2026

🕶️🔊 Glasses Throwback: Bose Frames Rondo — the “smart glasses” I actually used.

Quick anecdote:

I put on the Bose Frames Rondo for the first time and had that instant reaction:
“Okay… these are not exactly pretty.”

But then I hit play.

And suddenly it clicked: this is the one ‘smart glasses’ feature that’s genuinely useful — great sound, without earbuds.

No display.
No camera.
No “look at me, I’m recording” vibes.
Just audio, floating near your ears while your ears stay open.

I ended up using them more than expected:
• walking to meetings
• commuting
• quick calls
• podcasts without isolating yourself from the world

And to be honest: in pure audio quality and everyday usability, they still felt better than the Ray-Ban smart glasses for me — because they stayed in their lane.

That’s the product lesson I love:

A wearable doesn’t need to be “AR” to earn a place on your face.

Sometimes the winning strategy is:
one job, done really well.

Question: If smart glasses only did ONE thing for you… what should it be? Audio? Navigation? Translation? Hands-free documentation?




Join 16,000+ operations & Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

Your “free” CapCut SOP costs more than GIRI. You pay the bill in engineer hours.I hear the same plan in many plants:“We ...
27/02/2026

Your “free” CapCut SOP costs more than GIRI. You pay the bill in engineer hours.

I hear the same plan in many plants:

“We use CapCut. Our young engineers film SOPs, add voiceover, done. Zero cost.”

On paper, smart.
On the shopfloor, a hidden tax.

I call it the Editing Tax.

You turn standard work into mini Netflix productions:

• Timeline editing: sync audio, cut clips, add text.
• Update drama: process change → full re-edit.
• Format chaos: video in one tool, PDF SOP in another.

Each 3‑minute video eats half a day of an engineer.

Do that for 50 procedures, with 3 updates per year…
You train more engineers as video editors than as problem solvers.

Strong teams do something else.

They capture process, not movies:

• Record step by step in 5‑second loops.
• Create the PDF in the same run.
• No timeline editing, no voiceover studio.

One technician, one smartphone, one pass through the task.

If one SOP needs 4 hours, you never document the “small” jobs.
Those stay tribal, in a few heads, lost when people leave.

When creation drops to 10–15 minutes, you finally cover the long tail of work.

Standard, rare, weird, “ask Peter” tasks.

That is where the big quality wins hide.

How long does your team need today for one full SOP
(filming + editing + approval) - and who pays that Editing Tax in your plant?

Join 16,000+ operations and Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

🕶️🔍 AR Glasses Throwback: Epson MoverioVisually? Not the “sexiest” glasses on the planet.But optically? Honestly, some o...
25/02/2026

🕶️🔍 AR Glasses Throwback: Epson Moverio

Visually? Not the “sexiest” glasses on the planet.
But optically? Honestly, some of the best I’ve ever looked through.

So precise. So clear.
Text stays readable, edges look crisp, and you don’t get that “washed / blurry” feeling many early smart glasses had.

And for a long period, Moverio was a best seller in industry.

Why?

Simple answer: value.

Among the glasses that were actually high quality, they were often the cheapest option.
Not “cheap” in a bad way — but the best price-performance when companies wanted something reliable without blowing the budget.

That’s a pattern we still see today:
✅ Optics + practicality beat “cool design”
✅ Procurement loves predictable value
✅ If it’s clear + comfortable + affordable → it gets deployed

Question: What matters more for your use case: best optics or best ruggedness?




Join 16,000+ operations & Lean people using AR + AI to reduce errors, speed up training, and improve OEE. Follow for weekly field-proven tips.

Your 10‑minute training video is not “digital transformation.”It is a digital paperweight on your server.I saw this agai...
23/02/2026

Your 10‑minute training video is not “digital transformation.”
It is a digital paperweight on your server.

I saw this again last month at a depot with 60+ machine types.

They wanted to “go digital.”
They filmed their own training.
Tripods, lights, editing, intro slides.

End result:
10‑minute videos.
Days of editing.
Zero views on the shopfloor.

When an operator stands at a machine and needs to know which shim to use, there is no way they scrub through a 10‑minute MP4.

They guess.
They call a friend.
They skip the step.

The problem is not video.
The problem is granularity.

What works in the field:

• Kill the 10‑minute feature film
• Target 3-5 seconds per step (one clear action, one clear view)
• No editing suites – point, shoot, publish
• QR code right on the machine, not in a hidden folder

For that depot, one change made the switch:

Long “training videos” → short, step‑by‑step clips at the point of work.

SOP creation time dropped from 8 hours to 45 minutes.
Operators used the content daily, not once.

Speed of access sets the speed of resolution.

When you look at your own content, do you see help in the flow of work – or digital paperweights on a server?

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I share field data from AR work instructions, not theory.
Follow for weekly stories from plants that turn tribal know‑how into visual SOPs with one QR scan.

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