Trying to make personal trainers obsolete, the Visma team created a suite of technical solutions to make an athlete out of a normal-bodied IT consultant. This included a lot of sensors, camera skeleton tracking, and data processing in Azure.
The Bespin team created a semi-automatic bar solution. The customer places an order and pays through an app, and the app uses the face recognition API in Azure to create an identity for the user. At the bar, the user walks up to a camera, and the system uses face recognition to identify the person. The order is automatically served, with the only manual step in this process - age verification by an actual person working in the bar. Cheers!
Watch the team's presentation video.
One of the main areas where IoT is predicted to have a large impact, is the health sector. Team SmartAss addressed this with smart diapers, nappys and digestion probes.
Watch the team's presentation video (Norwegian).
Determined to create a sustainable solution for food production in the future, the garden gnomes from Altran Sweden made a fully automated mini-greenhouse for home use.
With the garbage collection crisis (no pun intended) in Oslo ongoing, the TrashTalk team came up with a better solution. Using trashcans full of sensors, it is much easier to plan collection routes more efficiently.
Watch the team's presentation video.
People can be identified with cameras and face recognition. EvilCorp thinks it is a good idea to use this to keep track of people, for their own security.
Linked to an acutal customer use case, the KnowIoT team created a road quality monitoring system. Their RC car was full of various sensors, and the communication unit very secure.
Another team focusing on health, the AntibIoTics created a solution to monitor the health condition of patients with the Xethru sensor.
Mektron is a robotics company, and is working on a solution for using a robotic arm for ultrasound in telemedicine. The arm is controlled by a haptic device, optimal for small movements. Coming to the event, they had ambitions to add device control with a Myo armband for the larger movements.
"We achieved a lot more in these three days than we would have done if we worked by ourselves in our office. The help from the other teams were very valuable.""
Taking the position of an evil company, the EvilCorp team set out to uncover how commercial interests can use cheap hardware to harvest data from Wi-Fi enabled devices - covered up as cute unicorns.
"Hackathons like ARIoT are excellent places to bring barely thought out ideas and attempt to realize them in a very short timeframe.
ARIoT is just such a place, and last year we brought a team of six enthusiastic software developers to our very first IoT hackathon. While our team was very capable in terms of working with C#, Java, SQL, and WhatNot (TM), our experience in working with low-level development was not high. This however, did not stop us from dragging along an awful lot of hardware.
A big handful of ultrasonic sensors, USB power supplies, Raspberry Pi’s, cameras, WiFi dongles, LED-lights, Arduino, other components, and last, but not least - two Parrot AR-drones. Our goal was to make a prototype self-navigating drone (avoiding obstacles in all directions) that could be remote controlled and fly autonomously indoors, and - to win!
In ARIoT the three teams with the most points go into the finals and victory is decided by popular vote. Points are awarded through achievement-badges. Knowing this we had pre-planned how to get the most out of our first hours and early on we took the lead. A lead that, however, was short-lived. As we progressed our drones started packing on weight, and after a while wouldn’t even fly at all.
A crash diet was attempted, but to no avail - the hardware necessary made the drones too heavy, with 136 grams of payload our used and abused Parrot AR-drones didn't have enough power to get off the ground. Even worse - our focus on the hardware side of things had made us forget about the software-side (another place to collect badges and points). As we tried to close the gap as we were entering the final hours we managed to land a tied 3rd place. We didn’t become victorious, the winning vote (not surprisingly) went to a functioning solution.
ARIoT, spanning three days of hacking was a great event for our team. We had fun, we had great challenges, we got to see the amazing stuff the other teams did, and we got a very memorable experience at a beautiful venue. Do we recommend it? In a heartbeat, yes.
We’ll be back, at ARIoT 2017. Maybe we’ll go for something that doesn’t need to fly this time.
Hoping to see you there as well, and remember: Be prepared!"
Trying to see just how far it is possible to go in making your home smart, the Computas team came up with a broad range of solutions and appliances.
Two scientists from Sintef brought their home made universal device programming language, ThingML. They also brought home made, 3D printed drones, and equipped them with infrared emitters and sensors, and programmed them to fight each other in an autonomous robotic war.
"As we were working on a customer prospect, ARIoT provided the perfect arena to test out some of the concepts that were required for our Proof-of-Concept. Our team of software and hardware developers could try out crazy ideas and get help from the other teams when we were stuck, and we successfully created a control system for the autonomous hospital robot."