The 2017 Elisa Innovation Challenge has reached the final stage. The three teams who made it to the final share a creative knack for connecting the business world’s needs and consumers’ desires. The competition will culminate with the announcement of the winner at Slush.
Finalists of the 2017 Elisa Innovation Challenge
Humia is a completely wireless and automatic structural humidity monitoring system which makes detecting and monitoring humidity and mould problems easy and cheap in private homes, business premises and public buildings. During the Challenge, the team has created a cloud service to support the wireless humidity detector it developed, which makes monitoring structural humidity and temperature possible. The service detects hidden and sudden problems before damage becomes widespread.
IqBox aims to solve the last mile problem of fresh food deliveries so that the customer does not need to be at home to take the delivery. During the Challenge, the team has developed a cloud service and two remote-controlled prototypes for outdoor, heat-controlled post boxes, where food can be delivered and remain fresh until the customer picks it up. The post box can be cooled or heated in advance depending on the food to be delivered. The solution can be modified for use in both urban and rural areas.
Parquery is a new kind of machine-vision and machine-learning smart parking solution which identifies vacant parking spaces from any camera images with the help of an automatic cloud service. The database could consist, for example, of city street or car park surveillance cameras, which the service analyses and sends the data from them to smart transport operators, companies and cities. The machine-vision based service could be expanded to follow city traffic volumes, public transport passenger numbers or shopping centre customer flows.
These Teams Reached the Semifinals of the Challenge:
Adloc’s Household Energy Hacker service mixes energy consumption data with other publicly available data (e.g. weather data) and provides households with predictive guidance to make ideal energy consumption related microdecisions, we can help them to save big on yearly energy bill.
Klok is developing a modular multi-purpose home automation hub providing seamless single-point connectivity for multiple IoT devices.
Yotta Green (B2C)
Yotta’s smart electricity switches and outlets monitor and analyse household power consumption and uses artificial intelligence to learn household electricity usage patterns. The system can alert users of abnormal behaviour, eliminate electrical fires and save up to 40 percent in electricity.
Pzartech develops a 3D recognition technology that enables user of heavy equipment to quickly identify mechanical parts using 3D image processing and deep learning.
Soloblik's dynamic warehousing system combines the power of smart sensors with sophisticated data intelligence in the IoT backend. It automatically finds the best free locations for incoming goods and creates a perfect digital mirror of all warehousing operations.
Team Robocrane has a vision of turning the muscles of the construction site, namely tower cranes, into the brains of the site. The aim is to utilize the natural high ground of the site to provide workers and contractors a more safe and productive environment and finally to automatize the tower crane.
Viimatech is developing an extensive, cost optimal IoT solution to monitor pumping environments and electrical motors. The unique solution enables 30–50 percent savings in the operational costs (energy and maintenance) of pumps.