Disaster Management

Adroit constantly evaluates and utilises best in breed global sensor technology to improve the accuracy, reliability and efficiency of our disaster management monitoring solutions. Sensors are tested, provisioned, calibrated, and where relevant independently verified to ensure high levels of accuracy and reliability.

Our nationwide installation team ensures every disaster management monitoring solution is deployed following a customised site plan. We have a range of deployment options including Adroit groundscrews and existing structures such as bridges. Our installers test sensors and data transmissions onsite to ensure connectivity and continuous data.

Adroit specialises in end to end environmental monitoring and intelligence, this includes initial client requirements, site evaluation, site planning, solution configuration, sensor selection, provisioning, calibration, installation, data visualisation, analytics and nationwide technical support.

Automated reporting simplifies the process of generating and distributing reports from data collected at various sites with multiple devices. It’s designed to take the heavy lifting away from the individual who would otherwise be looking at a variety of charts, dashboards and reports to understand what’s going on across multiple sensors and sites.

Adroit Analytics leverages AI to rapidly process large amounts of site data, transforming it into clear, human-readable summaries. These contextual insights enable disaster management to effectively communicate changes in the monitored environments, identify potential and increasing risks, and make faster, more informed decisions to improve operational effectiveness.

Adroit Analytics calculates various site-specific metrics by analysing multiple variables and aggregated data from a range of sensors. It tracks thresholds, their severity and duration to generate insights and risk indicators. These insights are visualised in the reports, allowing tracking and management of overall site and potential risks.

The use of AI to provide automated early warnings of possible natural disasters or extreme weather events, enable disaster management authorities to better inform the public of possible safety risks. Continuous real-time data aids in the on-going risk analysis in a natural disaster, improving the overall management of public safety.

Sensors can be installed on critical infrastructure like bridges and dams to monitor water levels, the impact of the event, or manage risk to structural integrity to detect potential failures.