Sustainable and Robust Energy Systems Of The Future

The projects goal is to increase knowledge about how the urban energy system of the future can become more resource efficient, robust and contribute to less greenhouse gas emissions.

Type: IoT integration
Application: R&D projects

Smart Agriculture

Automatic validation of sensor data

The project will, with the help pf Machine Learning and AI algorithms, identify common sensor problems for the most interesting sensors in agriculture, including sensors for temperature, humidity, precipitation and wind in weather stations, sensors for soil temperature and humidity, etc.

Type: AI/Machine Learning, Air humidity, Ground moisture, IoT integration, LoRaWAN, Open/Close, Temperature
Application: Analytics, Predictive maintenance, R&D projects, Sensative customer case

Smart Building use cases Smart City use cases Smart Utilities

CritiSec – Critical Infrastructure Security

An important part of the digitalization process is to connect critical infrastructures to the Internet. This creates a wide range of opportunities for security attacks with a huge potential impact, and thus makes our society vulnerable and unsafe.

Type: AI/Machine Learning, IoT integration
Application: R&D projects, Security, Sensative customer case

Smart Agriculture

The digitized farm

The smart digital farm requires a new type of stable digital wireless infrastructure for services that are critical.

Type: IoT integration, LoRaWAN
Application: Analytics, Asset management, Predictive maintenance, R&D projects, Sensative customer case

Smart City use cases

Connected Stockholm Royal Seaport

The project aim is to match real needs concerning governance for sustainable urban development with the City of Stockholm's strategy for a smart and connected city.

Type: IoT integration
Application: Public spaces, R&D projects, Sensative customer case

Smart Agriculture Smart Building use cases Smart City use cases Smart Utilities

Smart Public Spaces

IoT Sensors, interconnected data sources and mobile data form the basis of the real-time smart city. The Smart Public Spaces project is a part of Future by Lund. Here we work with solutions for the future city which are based on real-time information where people, organizations, infrastructure and sensor systems work together to create a sustainable environment with a high quality of life.

Type: IoT integration, LoRaWAN
Application: Analytics, Predictive maintenance, Public spaces, R&D projects, Security, Sensative customer case

Smart Agriculture Smart City use cases Smart Utilities

Kraftringen – A Sensative Customer Case

Kraftringen uses Sensative’s open horizontal IoT platform Yggio DiMS to collect data in their IoT projects and use the devices and systems they require.

Type: Ground moisture, IoT integration, Lighting, LoRaWAN, Occupancy, Open/Close, Temperature
Application: Analytics, Intrusion, Predictive maintenance, Public spaces, R&D projects, Security, Sensative customer case

Smart City use cases Smart Utilities

End-to-end security for constrained IoT environments based on OSCORE

IoT security in public spaces

Type: IoT integration, LoRaWAN
Application: Predictive maintenance, Public spaces, R&D projects, Security, Sensative customer case

Smart City use cases

Future by Lund, Smart public spaces

Smart Public Spaces is a project and a test bed for Smart Services by the Lund municipality in cooperation with Malmö city and about 30 companies. The IoT integration platform is Yggio by Sensative.

Type: IoT integration, LoRaWAN
Application: Public spaces, R&D projects, Sensative customer case

Smart Building use cases Smart Utilities

Convince

CONVINcE addresses the challenge of reducing the power consumption in IP-based video networks with an end-to-end approach, from the headend where contents are encoded and streamed to the terminals where they are consumed, embracing the Content Delivery Networks (CDN) and the core and access networks.