Skylab Ignite Participants Autumn 2018

Team: CheeseIt Yourself
Description:
Cheese It Yourself provides you with an ingredient powder mix, which is the main tool to produce a delicious and sustainable dairy-free cheese at home. By making your own cheese, you reduce food waste while enjoying a homemade plant-based cheese.

Team: Nihax-Sensible
Description:
NIHAX develops a hardware and software solution that will be connected to commercial sensors, new or existing, that enables sensors to be used with smartphones rather than conventional sensor readers. Current prototypes are measuring pH, Temperature, Redox, methane & CO2.

Team: Smilyzer
Description:
Smilyzer prepares patients for dialysis at an early stage by monitoring and assisting them in hand-squeezing exercises during nerve maturation.

Team: AugIt
Description:
The AUGIT glasses enhance human perception by enabling direct vision for drivers in Heavy Good Vehicles using augmented reality. The system mitigates blind spots directly where they are and brings the sensation that drivers can “see through” their truck.

Team: Alarmified
Description:
Alarmified solves the problem of leaving your belongings unattended by providing users with a multifunctional pocket-sized alarm. The device monitors your belongings, any movement that will trigger an 110dB siren, which scares the thief and it draws attention from the surroundings.

Team: BlueBenu
Description:
BlueBenu develops a lead technology to treat plastic pollution. They convert mixed and dirty plastic to low-footprint crude oil and sustainable petrochemicals. All waste streams can be seen as resources and be recovered into valuable products. These would be further reintegrated in the system. BlueBenu seizes waste management through the lens of the circular economy.

Team: TransSense
Description:
TransSense makes assistive technology for the visually impaired. They combine machine learning with haptic design to provide an empowering solution for blind people. The device is capable of sensing its physical environment and translate the obtained information into comprehensible patterns without sight.

https://www.skylab.dtu.dk/programmes/skylab_ignite/autumn_2018
17 SEPTEMBER 2019