IoT Innovation Network Series: IoT Cup Hackathon



welcome to the KPMG IOT innovation network series my name is piers Hogarth Scott and today we're at KPMG Melbourne it's a beautiful winter's morning it's Sunday and we're on the second day of a two-day hackathon that's called the IOT Cup which is part of the 4-day IOT Festival that's been hosted in Melbourne we have around about 100 hackers in the building today to have formed teams of five or six people who are setting about to solve a couple of key challenges challenges around how you can use IOT to reduce food wastage how you can use IOT to help support an aging population and how you can use IOT to help support people with disability in particular around transportation we think it's really important that in order to tap into the economic opportunity presented by RT there's a really rich ecosystem of both emerging and established and solution providers and that's why we're such a big supporter of hackathons such as these let's go and see what some of these people have got the effect so the energy required to grow a tomato in your favorite country like Italy pack it up fly it over here put up on your grocery aisle it requires energy requires resources so what if you can do the same at home the food computer that we're building aka veggie pod will do it the rest for you you choose your favorite recipe so a recipe is an instruction on how to grow that vegetable controlling everything from temperature pH levels in the community co2 levels in this box and to ensure that your vegetable comes out and the way it will initially using your common Arduino Arduino module and a motor shield and a raspberry pi raspberry pi being the brains that talks to the to the apps that we're building so we haven't got the plants in there that's the solution that we're coming up with is the ability for disabled people to find parking it is a existing solution smart parking but the plan is that we're pairing that up with a smart phone app such that people with disability will be able to find where their parks are are and if they're available and the benefit of that is that they'll be able to plan ahead and we can have it such that it'll route to the nearest park and if that one's not available we'll give them another part option and they can plan their journey before they leave home we have a Laura cheer when Maura when smart parking solution which detects the presence of the car yep what we're adding to that is the Bluetooth component and what that will do is when you pull up in part it activates the Bluetooth and then on your smart phone app you get a notification and it says yes that's me and that authenticates you say what can also be used if someone parks there and doesn't authenticate themselves the authorities get notified straightaway that someone is illegally parked in a disabled park all we have is a six fox x kit to do a real life demo what we've done is we're using the light sensor on that we'll be able to cover it up and show on a Google map as to the park going from being available to not being available in addition realities are capturing the data for future analytics helping our town planners and they're planning on a location of disabled parking spots our smart cities and as we have self-driving cars this will be the backbone to support the safe driving cart as well so the challenge which one at solve the IOT is the the aging population that we have in Australia and now we'll have a quarry our population above the age of 65 in 25 years time and we're trying to find a way to to help facilitate the management of these aged care people and and give a tool for the people that came for them whether it be family or or carer in in some encouragement so um the device that we've come up with is just a little like sensible with the communications module for top year which monitors several different parameters in the room and we can use those to kind of work out what's going on in the room so for example is community sensor and temperature sensor who might combine those two and establish hey they're having a shower or the running water from like that and so we can then track that over over periods of days and use machine learning in the cloud to determine well actually that is getting later and later each day or is getting less and less sleep each day so we can look at that yeah this is a example of that coke and have a look at different times different things are doing at each time of the day so you're sleeping it's shower in the table because maybe we could sleep in our KC and she's getting up later and later each morning and so we've set a threshold that actually twelve o'clock moved to maybe need to have a look at that and so you can you can have a look at that and go okay everything requests before or or poor or less or requests at all yes because there may be there's an issue there yeah so yeah so we've got different senses on here that we can use to kind of work out what actually happening Wow I've been super impressed by the innovation that we've been seeing come out of those teams of hackers what's really impressive is the way that you've got on the one hand some clearest strategic minds trying to tackle some of the challenges that really impact or of national importance combined with technologists who are applying IT solutions at a micro scale has solved some of those challenges this emphasizes why an IOT ecosystem of innovators both emerging and established is so important to help the nation untapped the IOT opportunity this is peer TOGAF Scott reporting from the IOT innovation network theory

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