April 5, 2017 | Written by: Chris O'Connor
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Picture a resident living in a modern apartment complex. This complex rises to 100 floors and you are given key card access to all the facilities including parking and unlocking your front door. The moment you enter the complex, after swiping your card at the gate, the connected building knows that you are headed to your apartment. You park your vehicle and enter the lobby, the doors unlocked as you strolled through. The electronic screen at the lobby informs you which elevator in the bank is waiting to take you to your floor. And as you arrive at your door it unlocks by sensing the key card in the vicinity and knowing you just stepped off the elevator.
With the goal of making scenarios like these a reality, KONE and IBM recently conducted India’s first elevator Hackathon hosted by KONE and powered by IBM Watson IoT Platform for developers and hackathon enthusiasts to bring new ideas on improving and optimizing people flow.
In March, hackers from across India flocked to the India Technology and Engineering Center (ITEC), their minds set on winning the top title in the Hackathon. After a grand inauguration, 14 shortlisted teams presented their final ideas to the jury consisting of representatives from IBM, ITC Infotech, Persistent Systems and KONE.
The groundbreaking ideas showcased by the teams were based on four themes: smart elevators, user security, utility tools, and open theme. The jury saw ideas for new technology, including porotypes and demos on how to enhance people flow, and at the end of the day, they had the difficult task of picking the best of the best.
The winning teams used IBM IoT tooling, delivered by the team in India Software Labs, to visualize the elevator data using Node-RED dashboards. All participating teams used an elevator simulator recipe created by the IBM team in India, which demonstrates the uses of simulator nodes developed by the IoT tooling team.
Team AInstein won the hackathon for their solution on predictive maintenance. Team Refugees won the second prize for their idea on personality and mood based advertising followed by Team Builders for their proposal on mirror based sensors. The winning team demonstrated the usage of a rich set of data available from equipment and add-on sensors, identified what components could fail and how to fix them before the failure creates disruption. They managed to turn complexity into a logical architecture very quickly and showed great dedication in testing parameters and improving the reliability of code over time.
The Alnstein team bagged the top prize for their creative way of using unexpected occurrences in datasets to predict breakdowns before they happen. The team of three second-year university students took home a cash prize of 400,000 Indian Rupees (5,600 euros). They will work with KONE’s global research and development team in Finland to further develop their idea and implement it.
The AInstein team accept first prize in IBM and Kone hackathon
The Hackathon provided a great example of the many ways building data can be harnessed to improve people flow and optimize and tailor buildings to occupants. Everything that happens in buildings is creating data that can be used to improve experience and help you find new ways to optimize and save money. IBM can help you capture and analyze this data to transform building operations and create new efficiencies.