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Just added indoor navigation to WeWork, without them knowing. Got this up and running in 2 days, using wifi + motion data for precise location. Every other indoor solution takes months and usually require beacons. Hyper is going to fix the indoor navigation space. 💪

Andrew Hart

28,069 subscribers

90,281 次观看 • 1 年前 •via X (Twitter)

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Andrew Hart ᯅ 的头像

Andrew Hart ᯅ1 年前

WeWork and others can sign up for free:

AndaSeat 的头像

AndaSeat1 年前

🎨 Freelancer life is like breathing - sometimes fast, sometimes slow... 💫 X-Air Pro flows with your rhythm: 💨 Breathable mesh for those deadline sprints 💭 Adaptive tilt for brainstorming reclines 🔄 5D armrests for device-switching dance ⚡ C-shaped lumbar for your entrepreneurial backbone ✨ Freedom to move, space to create: 💝 Freelancer special: Create your comfort for $20 off! #FreelanceLife #CreateFromHome #WorkspaceGoals #CreativeLife 🎯💻

Tom Connole 的头像

Tom Connole1 年前

Can you do the Toronto PATH please 🙏

Vine Layer 0 的头像

Vine Layer 01 年前

Once the whole world is mapped in this way, we've got a new economy.

mr.tipton 的头像

mr.tipton1 年前

This is so well done

🟧Clean Coder🟧 的头像

🟧Clean Coder🟧1 年前

Anything you can tell us about how you match up wifi to a physical location in the building? I assume you have to at least map the access points yeah? Really cool regardless.

Volodymyr 的头像

Volodymyr1 年前

Airports needs this! Last week I was trying to navigate in @ParisAeroport and it was hard to get between 2G and 2E. Louvre another great application.

DAYWALKER 的头像

DAYWALKER1 年前

Amazing. You are my favorite company / tech right now. So many applications, demo wows, natural growth path, and everyone wins. Retailer, customer, you. Good luck!

Bart Trzynadlowski 的头像

Bart Trzynadlowski1 年前

Very slick!

MikeeBuilds ⛩️〰️🧱 的头像

MikeeBuilds ⛩️〰️🧱1 年前

Definitely need to link up this @OhioState hospital with this.

Adam From Alaska 的头像

Adam From Alaska1 年前

That is very clean. Excellent work

相关视频

This is HUGE and I’ve wanted to announce this since the day I started my company. We’re rolling out Hyper to every campus in the world. Today announcing the Hyper app, which enables 1m-accurate indoor location, with maps and AR navigation. Super easy to setup.

This is HUGE and I’ve wanted to announce this since the day I started my company. We’re rolling out Hyper to every campus in the world. Today announcing the Hyper app, which enables 1m-accurate indoor location, with maps and AR navigation. Super easy to setup.

Andrew Hart

317,425 次观看 • 1 年前

This is AR navigation, working outside in the Garden Center! We use WiFi + AR for precise location, so it works at any store, inside or outside, and without beacons.

This is AR navigation, working outside in the Garden Center! We use WiFi + AR for precise location, so it works at any store, inside or outside, and without beacons.

Andrew Hart

202,316 次观看 • 2 年前

What I’ve learnt: Indoor maps/location has massive potential but has been stuck in enterprise hell for the past 10 years. Every solution is inaccurate, expensive, bad UX, impossibly slow to deploy. Hyper will radically transform this. Our first release has two innovations: - Self-serve onboarding == zero enterprise sales cycle - Hyper app == zero implementation, no code required With this, we've cut the sales + integration process from months to days. And of course, our technology is precise, affordable, scalable and great UX. The opportunity size here is huge -- from hospitals to airports, from museums to warehouses. I'm excited to keep pushing with new releases that make indoor location useful and accessible to everyone.

What I’ve learnt: Indoor maps/location has massive potential but has been stuck in enterprise hell for the past 10 years. Every solution is inaccurate, expensive, bad UX, impossibly slow to deploy. Hyper will radically transform this. Our first release has two innovations: - Self-serve onboarding == zero enterprise sales cycle - Hyper app == zero implementation, no code required With this, we've cut the sales + integration process from months to days. And of course, our technology is precise, affordable, scalable and great UX. The opportunity size here is huge -- from hospitals to airports, from museums to warehouses. I'm excited to keep pushing with new releases that make indoor location useful and accessible to everyone.

Andrew Hart

13,885 次观看 • 1 年前

We’re making fast progress on indoor mapping at Hyper. We want to map every campus in the world. In 1 day, we mapped this 5-storey library building with full navigation. End result is amazing. Onto the next one.

We’re making fast progress on indoor mapping at Hyper. We want to map every campus in the world. In 1 day, we mapped this 5-storey library building with full navigation. End result is amazing. Onto the next one.

Andrew Hart

33,817 次观看 • 1 年前

Awa was brave today and went inside the indoor wolf enclosure all on her own (without using food/treats to get her inside) She is normally very afraid so this is a big step for her 🥹

Awa was brave today and went inside the indoor wolf enclosure all on her own (without using food/treats to get her inside) She is normally very afraid so this is a big step for her 🥹

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252,424 次观看 • 1 年前

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28,868 次观看 • 1 年前

A new Dunkin Donuts opened in “the hood” in South Central Los Angeles The location opened with just a drive thru and “Order Here” kiosks on the outside of the building. No indoor seating or walk-up counter service This is due to California crime. In higher crime neighborhoods food businesses are beginning to open locations where no indoor seating is an option In addition to being safer in crime heavy area, the business focuses more on to-go orders and drinks Drive thru only Dunkin’ locations are more commonly deployed in higher crime urban neighborhoods, which are overwhelmingly in Democrat led cities (this is supported by real data)

A new Dunkin Donuts opened in “the hood” in South Central Los Angeles The location opened with just a drive thru and “Order Here” kiosks on the outside of the building. No indoor seating or walk-up counter service This is due to California crime. In higher crime neighborhoods food businesses are beginning to open locations where no indoor seating is an option In addition to being safer in crime heavy area, the business focuses more on to-go orders and drinks Drive thru only Dunkin’ locations are more commonly deployed in higher crime urban neighborhoods, which are overwhelmingly in Democrat led cities (this is supported by real data)

Wall Street Apes

1,257,402 次观看 • 3 个月前

🚨🇺🇸 Northrop Grumman just leveled up hypersonic tech. Their advanced navigation system completed three successful flight tests in six months, guiding hypersonic vehicles precisely without GPS — and it’s fully reusable. This breakthrough proves that reliable, high-speed navigation is possible for the next generation of weapons and hypersonic platforms.

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Defence Index

61,446 次观看 • 8 个月前

QACE Dynamics | Autonomous Navigation Preview Today we are showing autonomous navigation running live inside QACE, the robot plans its route on the map, then adjusts in real time as lidar and vision pick up new obstacles. All of this runs through a single navigation block inside QACE, ready to plug into different robots without touching low-level control. This navigation block is one of the core building pieces of QACE autonomy, and it’s just the first of many we will be rolling out.

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Qace Dynamics

12,654 次观看 • 8 个月前

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Mikhaila Peterson

40,818 次观看 • 1 年前

This is so cool. I just asked Grok in my Model Y to navigate to three different destinations, and it automatically added them all at once, in the correct order, to the navigation in my car. Grok can also remove or edit destinations.

This is so cool. I just asked Grok in my Model Y to navigate to three different destinations, and it automatically added them all at once, in the correct order, to the navigation in my car. Grok can also remove or edit destinations.

Sawyer Merritt

182,355 次观看 • 7 个月前

Once we started to work with large global retailers, we needed a better way to scale this process. Ideally, the staff at the store could do this themselves — rather than us flying our team across the world — and then we could lower the cost and timelines. So we built a self-serve version of our survey app, with a tutorial mode designed for beginners. Over time, we collected millions of data points, and so we were able to develop an algorithm which would auto-correct mistakes. In other words, if the surveyor accidentally placed their ground-truth location in the wrong place on the map, we could use our algorithms to detect it, and correct it. So now we have WiFi, and with and our efforts on producing a high quality survey, we have the best WiFi positioning available. With WiFi on its own, it’s achieving 3 meter accuracy. This is a great foundation to build on. WiFi + Motion data To refine this down to 1-meter accuracy, we realised that we could combine WiFi with the same technology behind self-driving cars and robotics: a motion system called SLAM (Simultaneous Localization and Mapping). SLAM uses the accelerometer, gyroscope and camera system to understand precise device motion. Imagine a car driving through a tunnel, using the motion since its last GPS ping to keep location accurate until it comes out the other side. On a phone, this technology is very reliable, and measures device motion with high precision. But SLAM is measuring motion within its own coordinate space, it’s not aligned with the real world. SLAM tracks the user’s relative motion, like “moved forward 2 meters, then turned left”, but does “forward” mean “north”, or some other direction? It’s not calibrated, so it could mean any location, any direction. We can’t rely on the compass to help us out with this, because phone compasses are notoriously incorrect — everyone knows the frustration of being sent the wrong way down a street. So our job was to align this motion data with the triangulation data we were receiving from WiFi. We designed an algorithm that could simulate every possibility, filter the unlikely scenarios, and hone in your location, using WiFi as an anchor. So WiFi gives us the initial blue dot, SLAM gives us motion, and as the user starts walking and we receive more data, our algorithms can refine location accuracy down to a consistent 1-meter accuracy. We’ve tested these algorithms in many locations, on hundreds of hours of ground-truth data:

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90,946 次观看 • 1 年前

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Akshay Kothari

211,210 次观看 • 5 个月前

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This is insanely crazy!!! This was my favorite part of the interview how they both guessed each every question correctly. It only takes friends if decades to answer such but 2 months knowing each other and both got everything correctly. They're literally each other reflection. Nice one👏🏾

RainyZionn

70,762 次观看 • 1 个月前

Former #LSU kicker Cade York on returning to Louisiana to play for the #Saints : "I get into the indoor yesterday, and I remember all of the moments I've had in New Orleans, like this is where I tried out for LSU and got offered ... It's where I won a national championship my freshman year."

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NOF

152,741 次观看 • 8 个月前

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Mario Nawfal

62,414 次观看 • 3 个月前

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264,037 次观看 • 1 个月前

🗣️ “When the invite came in from European Athletics four weeks ago I was over the moon. To get a personal invite from them was huge and for them to be putting Para Athletics in this spotlight and giving us this opportunity is massive.” Hear from Orla Comerford after her victory in the Women’s 60m Para Athletics event at the European Indoor Championships 🤩 #IrishAthletics | #Apeldoorn2025

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Athletics Ireland

26,087 次观看 • 1 年前

As soon as the deal is approved, we'll start hiring small businesses. DC residents will start going to work. Next year, we'll put a shovel in the ground. And it will also get us sooner to our indoor SportsPlex for our young people. This morning on FOX 5 DC ⬇️

As soon as the deal is approved, we'll start hiring small businesses. DC residents will start going to work. Next year, we'll put a shovel in the ground. And it will also get us sooner to our indoor SportsPlex for our young people. This morning on FOX 5 DC ⬇️

Mayor Muriel Bowser

21,739 次观看 • 1 年前

a robot can recognize every object in a room and still not know how to open a single drawer knowing there's a cabinet is scene understanding. knowing which handle to grab, which direction to pull, and that it's a drawer not a door is affordance understanding almost no dataset has it in 3D SceneFun3D: 14,800+ functional elements across 710 laser-scanned indoor scenes. every handle, knob, button, and switch labeled with its affordance, motion axis, motion type, and a natural language task description each scene's 3D point cloud with its iPad video recordings in fiftyone. the affordance annotations live in 3D and project into the video frames check it out here

a robot can recognize every object in a room and still not know how to open a single drawer knowing there's a cabinet is scene understanding. knowing which handle to grab, which direction to pull, and that it's a drawer not a door is affordance understanding almost no dataset has it in 3D SceneFun3D: 14,800+ functional elements across 710 laser-scanned indoor scenes. every handle, knob, button, and switch labeled with its affordance, motion axis, motion type, and a natural language task description each scene's 3D point cloud with its iPad video recordings in fiftyone. the affordance annotations live in 3D and project into the video frames check it out here

harpreet

18,800 次观看 • 1 个月前