Internet of Things Lab
Advancing IoT systems, platform engineering, and hardware and software development at IIHS
About
The IIHS Internet of Things (IoT) Lab anchors IoT systems and platform engineering, hardware and software at IIHS.
It develops and deploys simple, scalable and cost-effective open-source technology to enable the operation and management of sustainable cities, starting with the IIHS, Kengeri Campus.
The vast and complex data collected is analysed using the power of artificial intelligence (AI) and machine learning to achieve real-time control to optimise and improve the efficiency and sustainability of the Campus. The Campus and the adjoining forest and lake, an eco-zone, are envisaged as a 600-acre lab.
Areas of Work
Data Collection
The Lab uses a network of smart sensors integrated across the Campus to gather real-time information on energy use, environmental conditions, agricultural output, occupancy, and equipment performance. Through edge computing, this data can be processed locally, enabling faster responses and decisions without relying solely on central systems or the cloud.
Prototyping Hardware and Software
The Lab prototypes and tests new IoT tools and systems tailored to the needs of the Campus, exploring innovative ways to improve how Campus systems operate.
CampusOS
The Lab led the development of the CampusOS, an open-source, modular platform that brings together and manages multiple IoT devices and applications across IIHS’ Bengaluru campuses.
Data-Driven Resource Optimisation
The Lab analyses Campus data to identify patterns and insights that support better decision-making. This helps optimise energy use, improve resource allocation, and plan maintenance more effectively, resulting in cost savings and improved environmental performance.
Building Resilient Digital Systems
The Lab builds robust campus infrastructure that can recover quickly from disruptions. This includes backup servers, uninterrupted power systems, a solar-powered microgrid, redundant internet connections, and a disaster recovery plan, supported by a flexible and scalable technology stack.
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