New MB IoT smart meters and machine learning technologies are piloted within Science Park 1 to collect data and perform automatic trend analytics for prediction of utility consumption patterns, thus resulting in cost savings for tenants.
Infrastructure-less pathfinding technologies are being evaluated to enable last mile deliveries, search for retail shops, etc. With consideration of the constantly changing urban environment due to road works, etc.
An open source data schema is being introduced to members of SMARTLab to harmonize disparate data sources and enable data interoperability, thus lowering cost of integration and creating new opportunities for co-innovation.
AIoT Applications to Optimize Smart Office Environment
A number of devices providers have come together to integrate and pilot an array of smart devices for tracking of utilities usage and wellness parameters for smart offices, so as to improve user experience and to lower the cost of operations.