How GlüxKind Created Ella, the AI-Powered Smart Stroller - Ep. 193

10 Apr 2023 · 26 min

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NVIDIA AI Podcast - Episode 193: How GlüxKind Created Ella, the AI-Powered Smart Stroller

Podcast Overview The NVIDIA AI Podcast explores the impact of cutting-edge technology in various fields, including AI, robotics, and sustainability. In this episode, host Noah Kravitz interviews the co-founders of GlüxKind, Kevin Huang and Anne Hunger, about their innovative AI-powered stroller, Ella.

Episode Highlights

  • Introduction of Ella: A smart stroller that features self-driving capabilities, motorized assist, object detection, and alerts for potential hazards.
  • Founders' Background: Kevin Huang and Anne Hunger, who are married with a child, were inspired by their own challenges as parents to create a smarter and safer stroller.
  • Technology: Utilizes the NVIDIA Jetson edge AI and robotics platform to power its features.
  • User-Centric Design: Insights from over 500 parents informed the development process, focusing on safety and usability.

Key Discussions

Origins of Ella

  • The idea originated when the co-founders were searching for a better stroller for their child.
  • They recognized the need for safety features in strollers similar to those found in cars.
  • Initial research involved speaking to other parents to validate their concerns about existing strollers.

Development Process

  • Prototyping: The first "prototype" was a remote-controlled skateboard attached to a stroller to test motorized features.
  • Iterations: The design evolved through several prototypes, focusing on user feedback and incorporating traditional stroller elements for familiarity.
  • Testing: Extensive testing with local parents to ensure usability and functionality.

Features of Ella

  1. Motorized Assist:
  2. Uphill Assistance: Helps parents push the stroller uphill.
  3. Downhill Braking: Automatically brakes when going downhill to prevent accidents.
  1. Hands-Free Operation:
  2. The stroller follows the parent while allowing them to engage with their child, effectively acting like a walking companion.
  1. Rocker Mode:
  2. Keeps the stroller rocking to soothe babies while parents take a break.
  1. Object Detection and Safety Alerts:
  2. Equipped with multiple sensors and cameras to detect obstacles, providing warnings or taking evasive actions to avoid collisions.
  3. Operates similarly to advanced driver-assist systems in cars.

Technology and AI Integration

  • AI Utilization: Initially focused on motorization, the decision to include AI for object detection was driven by a desire for safety in dynamic environments.
  • Environmental Awareness: The stroller can recognize and adapt to its surroundings, alerting parents of potential dangers.
  • Learning Models: The AI has been trained using data collected in various environments to enhance its performance.

Challenges and Achievements

  • Balancing device functionality with weight and portability to ensure it remains user-friendly for new parents.
  • Overcoming the complexity of integrating electronics while maintaining a lightweight design.

Future Aspirations

  • Product Expansion: Interest in developing additional products such as a twin stroller and enhancing existing features.
  • Continuous Improvement: Plans to streamline functionality and incorporate new assistive features like audio storytelling.

Conclusion The episode highlights GlüxKind’s journey from identifying a gap in the stroller market to developing a highly innovative solution. Ella aims to revolutionize how parents interact with baby gear, making it smarter, safer, and more user-friendly. The exciting integration of AI into everyday parenting tools exemplifies a significant leap in technology aimed at improving lives.

Contact and Further Information

  • Website: [GlüxKind](https://gluxkind.com)
  • Social Media: Follow them on Instagram at @gluxkindHQ for updates and announcements.

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This markdown serves as a comprehensive summary of the podcast episode, highlighting key discussions and insights while making it easy for readers to understand the innovative strides made in parenting technology by GlüxKind.

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Transcript

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0:10Hello, and welcome to the NVIDIA AI Podcast. I'm your host, Noah Kravitz. We've all been hearing about self-driving cars for years now, but what about self-driving strollers? My guests today were the darlings of CES 2023 earlier this year, picking up an innovation award for Ella, their AI-powered smart stroller that features motorized assist, object detection, and other features meant to give parents extra pairs of eyes and an extra set of hands. Here today to talk AI and baby strollers are the co-founders of Vancouver, British Columbia-based Glückskind, Kevin Huang and Anne Hunger. Kevin and Anne, welcome to the NVIDIA AI podcast.

0:50Thank you so much for taking the time to join us. Thank you, Nora, for having us. So let's start at the beginning. Why don't you tell us about the stroller, Ella, and maybe start at the beginning. How did you get the idea for it and how did it progress from there? Well, the idea came pretty straightforward, similar to a lot of other startups in the parenting or baby gear space. We, Kevin and I, were actually married and we have a child together. So when I was pregnant and we were looking at the stroller market from a consumer perspective, that's when we went a little wild with our product research and were looking for something more than what the market was offering at the time.

1:32and started to explore that market and came up with the idea of a smart baby stroller. Especially from a safety perspective. Nowadays in modern day life, we take a lot of safety features for granted, like for example, seatbelts in cars or the automated stopping when you're on a hill. Whereas many of these safety features doesn't exist on a stroller where it's actually carrying a very important cargo, your baby. So we thought, okay, there's got to be something better than what was available. And we started tinkering and talking to other parents to see if this was actually a pain point that other people are facing and whether people are anxious going down hills when it's deep in their neighborhood.

2:15So after talking to over 500 other parents and trying out some ideas, here we are two and a half years later. I'm getting flashbacks listening to you because I lived on a pretty steep hill when actually when both of our children were born and have memories now of, you know, holding the stroller at arm's length, kind of gripping it with my hand to keep it from going too fast, that whole thing. So, absolutely. So, you said about two and a half years ago, the process started? Yeah. Yep. Our daughter just turned three and yeah, our start is going to be three this summer. And so, walk us through what happened.

2:55Did you build a prototype that your daughter rode around in? Or how did you go from idea and kind of verifying with, you know, you said you talked to hundreds of other parents. How did you get into actually starting to build a stroller? So our very first prototype, if you want to call it that, or proof of concept was an electric remote controlled skateboard that was strapped to our regular stroller. Especially on hills, just to get that feeling of what it would be like if your stroller would actually break on a downhill or you would have that additional assist on an uphill and you have your hands free if your infant wants to be carried.

3:34So that was our very, very first experiment, if you want to call it, to explore how we could actually make a better product happen. Yeah. And from there, as soon as we got it to kind of hover in front of us, that we realized, okay, there's something here. There's something magical about not having to worry and struggle with the stroller going down a hill. The next version from that was literally putting on motors on a older stroller platform, trying to retrofit some strollers out there and quickly realizing that because of all the wiring, all the sensors that we have to add, it became extremely difficult to try to create a modular platform to actually retrofit other strollers.

4:15And so we started designing a completely new frame while trying to keep in mind what traditional strollers are like so that people are used to it. And that influenced our current designs. We've went through about four iterations now overall of what the stroller would look like to what the production unit looks like now. And throughout the entire process, we've tested with other parents here locally in Vancouver, as well as we use the latest B3, not the production present now, but the prior version for most of last year as we are finalizing some of the designs and just really holding in on the user feedback to see what it feels like to have a motor-assisted stroller and as well as like...

4:59For our early models, Kevin was the product tester. I did testing the stroller with our daughter very recently. Nice. So there's a lot going on in the stroller from what I've seen and watched some of the videos and read. So maybe you can walk us through some of the features and then we can get into how AI came into the process and what AI is doing in the stroller. But you mentioned, you know, the downhill brake and the motorized uphill assist. What are some of the other things that sets Ella apart from the other strollers that are around? Yeah, we like to think of there being three modes when it comes to moving around with the stroller.

5:43The first being exactly what you pointed out, the uphill motor assist as well as the downhill brake assist. that's relevant when the child is inside the stroller. So then you can think of it like an e-bike. Parents do hold on to the handlebar with at least one hand, but it's really more steering rather than pushing or putting in any physical effort, which makes the platform or the stroller as a product a lot more inclusive as well. But then when parents want to take the child out of the stroller because an infant is crying and needs that physical connection or a toddler wants to walk for a bit, but you still bring the stroller along because at some point they get tired and they want to sit.

6:20That's when we enable hands-free strolling so that parents don't have to do the multitasking all the time. They can focus on their interaction with their child. They have two hands and their attention for their kids. And the stroller takes care of itself. It's basically in standby mode until they want to use it for their child again. And the last mode is the rocker baby feature. So it sounds like you have quite some experience with strollers as well. So often sleep great in the stroller while you're out and about moving around. But as soon as you stop, they have their senses and their antennas.

6:57Bringing back more memories. So then when parents want to take a break, whether that be at a cafe, at a restaurant, or when they get back home, that's when they turn on rock-a-baby mode. So the stroller keeps that soothing rocking motion. Babies get the sleep that they need and parents can take never break. How do you steer the stroller when it's in hands-free mode? I saw a video on your site of somebody carrying the young child and the stroller is kind of, you know, gliding along in front of them. Is there a way to control the direction remotely from a phone app or something like that? Or is it all physical?

7:33You know, you touch the stroller and move it to get it to change paths. So the stroller does come with a companion app, but you don't actually use it to steer the stroller. Imagine the stroller being just like any regular stroller. If you're in push-ass mode, you're pushing it, you're directing it with the handlebar. But in the hands-free mode, it is tracking both the environment it is in, as well as where the parents are. So typically, the parents are walking behind the stroller. So then because it has cameras and other sensors all around, it's scanning the environment, it's creating a map of the environment, and it would hover in front of the parent and basically it recognizes the sidewalk, follows along the sidewalk, but while keeping the parent in range.

8:19As soon as the parent is out of range or it gets to an intersection, it would stop. It would ask the parent to take over. And so let's get into that a little bit more then because we're talking about object detection and computer vision and all these things that get into using AI. Was that something that from the beginning you thought, okay, we're going to put a stroller on a skateboard and, you know, get it to move on its own. And, oh, if we're going to do that, we better figure out object detection. Or where did that feature set kind of come into your thinking? Definitely. I think, yes, of course, like initially we started with simply the motorization piece.

8:57But with that, one of the things about strollers is that it should be lightweight and foldable and basically have all the features a traditional stroller have. So when you start adding electronics, you're adding weight, right? Therefore, any of the feature sets that you're adding must be significantly better than what is currently available. Like it must have created so much more value than simply, I think, just a push and break assist, even though that part is tremendous for many of our parents that have tested it. This is where we thought, okay, you know, if we are all about trying to create a safer product, then we should add other sensors so that it's more aware of the environment, right?

9:38Because we see very often parents nowadays, they're sleep deprived or it's life is full of distractions where, oh, you got a message on your phone, you're checking your phone, but you're no longer paying attention to your environment. It would be great if the stroller itself is also aware, is keeping an eye on the environment for you at all times. So it might not take over, but it will warn you that, hey, there's a bike coming along the sidewalk or there's a skateboarder or something in the environment that's going to collide with you. So imagine it being like all the advanced driver assist systems that are in cars, but adapted to the stroller.

10:14So that's what we know. That's exactly what came to mind. I'm glad you mentioned foldability. I think as any parent who has or has used a stroller can attest, being able to fold it, being light enough to be able to put it in the trunk of the car, these are important considerations for sure. So when Ella detects an object coming into its path, is it auto-brake? Is there an audio alert? How does the interaction with the parent work? Yes, it has a multitude of interactions, just like you mentioned. It can break if it senses that it needs to break. It can also avoid it. In the hands-free mode, imagine like a pedestrian robot, right?

10:56If there is a static or dynamic obstacle that are in the way that's coming into its path, it can avoid it. It would also warn the user in hands-free mode, but in push and break assist, when the parent have full control of the handlebar, it would only warn the parent because in that time, the parent has full control, right? It's like you're driving a car. If you decide to, you know, drive it on grass. Basically, if their car notices that you're kind of merging into another lane, you get a notification, but it's not like it corrects its path because you are in control. And no matter how fast that crazy teenage skateboarder, which is kind of now where my kids are at, is going, you're not pushing your stroller 50 miles an hour.

11:40So you'll have ample time to correct if your hands are on it. So how many cameras, how many sensors are on board the stroller? and tell us about the process of building these smart features, the AI powered features into the system. Was this, was it a big challenge? Were there unexpected things? Or at this point, had you kind of figured out sort of the heavy lift of, you know, we're adding motors, we're adding brakes. We've already kind of figured out how to keep it lightweight and foldable. So, you know, these days, AI is a tiny little embedded board. It's not really a big deal. Yeah. Heck no, it was definitely a big deal.

12:24I mean, conceptually speaking, like autonomous vehicles, like a lot of the sensor suites are pretty commonplace now. It's like, for example, we have five cameras and a multitude of other sensors, right? You typically, the sensor stacks are pretty similar. But for us, one of the challenges is keeping it lightweight, right? And maintaining that foldability, having like, because typically a sidewalk robot or a ton of vehicle, you don't need to fold it, right? You don't need to keep it lightweight. You don't have anyone trying to constantly lift it into a car. So those were some of the added challenges that was different from what we were trying to build, especially trying to create a modular enough so that the typical average adult woman can actually easily lift this into a car or into their house, right?

13:12Especially during the early days of right after pregnancy or when people are recovering. So, yeah. I'm speaking with Anne Hunger and Kevin Huang. Anne and Kevin are the co-founders of Gluckskind, a Vancouver, British Columbia based startup. We're the makers of the Ella Stroller, an AI powered smart stroller that took home a CES Innovation Award at the 2023 CES show just a month or so ago as we're recording this. And so we've been talking about the product itself and how it got started and how it was born out of your own experiences as new parents or parents to be, I guess, shopping for strollers.

13:52But let's kind of flip the script a little bit and talk about your own backgrounds. Do you have prior product development experience, work in AI? Is your background in something totally different and you just saw the need and decided to go for it, so to speak? Tell us a little bit about how you wound up becoming startup co-founders. Oh, yeah. So my background is actually in management consulting and real estate. So it's quite different. However, I used to work in that innovation environment for quite a while as the focus of my work was how can I help big companies to create an environment that is conducive to creating innovative products.

14:35Right. My background is in neuroscience, but I've been working as a software engineer and solution architect for about close to 10 years now. Prior to doing Glitzkin, we, well, we did not have computer vision experience, but the closest I got working with AI was doing any like NLP, natural language processing from computer vision. So for us at the beginning, it was very much learning about, okay, how do we actually do this, conceptualizing it, testing it. The first version was literally running a object detection model on a Raspberry Pi. That was during the very early days. So there was definitely lots of learning in the past two and a half years from going from taking some of the early learning blocks and applying it and trial and error pretty much.

15:25So how hands-on, if you know what I'm asking, how hands-on have you been throughout the process when it comes to both the hardware and software sides of engineering? I'd say very hands-on in the sense that we, I say we're a full stack company, not in the sense of the web, but in the sense, all the way from the mobile. No, strollers have stacks too. All the way from the mobile dev development down to the firmware, down to the hardware and electrical systems. So just before CES, we were in the shop actually putting together all the mechanical and electrical components for the demo units, the latest demo units, and it was all hands on deck.

16:02So yeah, it's definitely been a great learning experience for us from not just actually challenging a lot of our comfort zones and stepping into, for example, an hour of years ago, we could not say that we made carbon fiber before.

16:18Is the frame carbon fiber? Yes, it is. It's to offset many of the weight constraints, but also strength too. Yeah, right. Like while we definitely learned a whole lot during that process, we do have a full stack team as well here in Vancouver. So we have electrical mechanical engineers as well as computer visual engineers and other software developers. Yeah, we've surrounded ourselves with good network of our team as well as experts in our network who has helped us tremendously to get where we are. especially in the video as well. So what, if anything, about working on the AI-related parts of the process, parts of the product, I don't know, did you find surprising or particularly challenging or particularly satisfying for that matter?

17:06Is there anything related to the AI development in particular that stands out? Oh, great question. I think one of the most, it's both surprising and very satisfying is how well very often you hear about ai right it's like ais can take the world or or ai can do a lot of things but then often you you also see on the other spectrum that um oh something something is not working for example bark recently right they're like oh it's it's it's it's responding with wrong answers but what's really satisfying and surprising is often when it does work well For example, just in our early days, I think a year ago, most of our vision data is whether it's always transfer learned or whether we actually train the models from scratch.

17:58It's the data sets that we collected are mostly from Vancouver. Took it to Montreal and Toronto the first time. Sometimes it was like, OK, it didn't work very well. But the next time we added a little bit more data and it did work. And now it works. even when we go to Seattle when we went to Vegas, these are environments it's never seen before. And the fact it can self-drive in those environments, that is surprising and very satisfying. That's very cool. Were there particular objects or other parts of the system that you were surprised at how difficult it was? Were, you know, detecting, I don't know, dogs running in the path or people on bicycles or something?

18:36Was there a particular hurdle you had to get around or was it just a matter of adding more and more data to train the models on? Yeah, I mean, there are always outliers. I think one of them was like, for example, scooters, right? The cities like Vancouver doesn't really have that many scooters, but in some of the cities in the States or actually in Toronto or on the East Coast, there are scooters that are just laying in weird positions all over the place. I know it's definitely like outliers, but for us, one of the nice cities is that we don't need full autonomy right away. We're limiting the amount of spaces that parents can use the hands-free mode for mostly parks and residential area.

19:17But we can grow the amount of areas that we support concentrically. And for most of our parents right away, the majority of the value add immediately is the push and break assist, the rock a baby, and all features that they can use immediately. And the hands-free mode is a very nice cherry on top that only gets better as they use it, especially when they start strolling around their own neighborhood as the model regionalizes and it improves over time as we scales as well. I had my current car for about a year before I even tried lane keeping assist, right? But the crash avoidance stuff from day one kicked right in.

19:57So it's a nice analogy in my head anyway way to relate to things you're talking about and I'm imagining sitting in the car. Right. Yeah. The object detection and everything. So we're recording this in February. What's the current status? Are you taking pre-orders? When are you hoping to ship the first versions, retail versions of Ella? Yeah. So we did actually take pre-orders prior to NXC, yes. But with the global coverage, we actually had to stop as we started getting interest and paid orders from all over the world. And because it is a certified product, every region has a little bit differences in the certification.

20:35So we had to close that down. And as well as like our initial pre-order, we hit our maximum capacity to manufacture as we're trying to make it in Canada. So we are opening it up again in March. And our first day, we'll start shipping out. We'll be getting into parents' hands in July, 2023. Great. Great. And I have to ask, I haven't, I used to go every year. I haven't been in a while, but how was CES? Was this your first CES? I'm assuming you're first as a presenter anyway, but how was that experience? It was our first CES as a visitor and as a presenter. I'm not sure how relatable our experience is, but it's definitely been once in a lifetime experience for us.

21:22It's been incredible in terms of the attention that we got, which we in no way expected in that one year. It really was from the day before it even started that Kevin and I got inquiries from different media representatives. We've been running around with our heads on fire for like four days. That sounds about right. So I'm sure the focus now is on fulfilling those pre-orders, getting things kind of under control with production and all of that. So I feel almost unfair in asking you this, but if you can look beyond the initial delivery dates, where do you see this all headed? Are you, do you have additional features in mind?

22:09Do you have another product that you're kind of, you know, cooking in the incubator for when you have the bandwidth? What's next for Gluckskind? Yeah, definitely. I mean, for us, immediately, it's working on the other kind of assistive features that the stroller can have. For example, we didn't mention it also plays white noise. But because it has a speaker system and have alerts, it can also play like stories, right? It can stream visiting stories, things like that, that really augment the parenting experience. as parents are buying all kinds of other kind of products. We're like, why do we need to buy so many things that do very similar things when it can just be one thing?

22:50We'd all built in one, right? Yeah, yeah. So that's something that immediately comes to mind. But aside from that, we had quite a lot of interest in for us to build like a twin stroller or other kind of assistive devices. So we are starting to look into that And we are starting to design a kind of follow on as well as like next iteration of how we can build this product better. How can we make it more assistive, more streamlined, lighter? But our initial goal is for sure delivering those first units for our early adopters who have placed their pre-orders and just the best experience that we can possibly offer.

23:31Absolutely. Well, for listeners who might want to find out more about the company, about the stroller, about your journey, let alone, you know, bookmark the page for pre-ordering when those go back online, where would you direct them to go online? You can find us on gluxkind.com, G-L-U-X-K-I-N-D dot com, or find us on Instagram on gluxkindHQ. Yeah, or TikTok, I guess. I was going to say, I'm all of a sudden now, I'm excited for the influencer videos when the strollers start getting out there. I would say the best way to stay informed about when we're opening up pre-orders is to sign up to our newsletter or wait list.

24:17That's also accessible through our website. And we send out infrequent newsletters, but we will definitely keep everybody updated on when we're accepting pre-orders again. Fantastic. Glueskin.com. Well, congratulations on making it this far. I mean, this is remarkable. Most people go shopping for something they need, can't find what they want and gripe about it. And the two of you went ahead and built a semi-autonomous AI-powered stroller. So that's a huge achievement. So congratulations on that. And maybe more pertinently for now, good luck treading water with filling all of the orders. I haven't been through that myself, but I understand it's quite something to go through for the first time.

25:02So all the best to you on that. And I can't wait to see what's next for Gluckskind and the world of assistive technology for parents. Again, having gone through it myself and still going through it as a parent, you know, you see these things and then you remember like, oh, yeah, like having a break, having an auto break would really make a big difference. having a little assist going up that steep hill for the grandparents, for, you know, anyone who just needs that assist is a huge thing. So it's fantastic. Thank you. Thank you.

25:54Thank you.

26:23Thank you.

From the publisher

Imagine a stroller that can drive itself, help users up hills, brake on slopes and provide alerts of potential hazards. That’s what GlüxKind has done with Ella, an award-winning smart stroller that uses the NVIDIA Jetson edge AI and robotics platform to power its AI features.

Kevin Huang and Anne Hunger are the co-founders of GlüxKind, a Vancouver-based startup that aims to make parenting easier with AI. They’re also married and have a child together who inspired them to create Ella.

In this episode of the NVIDIA AI Podcast, host Noah Kravitz talks to Huang and Hunger about their journey from being consumers looking for a better stroller to becoming entrepreneurs who built one.

They discuss how NVIDIA Jetson enables Ella’s self-driving capabilities, object detection, voice control and other features that make it stand out from other strollers.

The pair also share their vision for the future of smart baby gear and how they hope to improve the lives of parents and caregivers around the world.

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