Smart Connected Sensors

Smarten up connected sensors for infrastructure, environmental and traffic monitoring with Edge Computing.

Smart connected sensors for environmental, infrastructure and traffic monitoring are one of the cornerstones of the Industrial Internet of Things. Applications like automated monitoring of critical assets such as road bridges, railway infrastructure or power grids, as well as traffic and environmental conditions can benefit greatly from IoT and edge computing technologies.

In many cases, such systems are deployed at locations where power and broadband network connectivity are scarce resources. Being implemented with efficiency and scalability in focus, can be used on energy efficient low-power cellular hardware that can operate for years on battery power. Intelligent sensor data aggregation, preprocessing, filtering and buffering on the smart sensor edge device helps to minimize data transmission volumes, deal with intermittent network availability and reduce loads on backend systems. is also perfectly suitable for gateways aggregating sensor data from wide-area low-power wireless sensor networks (LPWAN) like LoRaWAN or Sigfox.

Contact us to discuss how can help you smarten up your connected sensors.

Aggregate, preprocess and perform edge-analysis of data from multiple sensors such as environmental, acceleration, strain or location.

Improve energy efficiency of battery or solar-powered devices through efficient C++ code.

Save costs by intelligently filtering sensor data on the edge device to reduce data transmission volumes and backend processing loads.

Securely deliver sensor data to cloud-based or on-premise analytics platforms using HTTPS/REST or MQTTS.

Securely access and manage sensors in remote locations with Remote Manager.