Canary Systems' MLWeb's 3-D visualisation engine allows for spatial data analysis of all types of sensor data and the display of 3-D point clouds and surfaces in the browser.

According to Canary, it allows users to draw cross-sections on the fly, view surface and subsurface data from all angles, and use spatial filters to query underlying sensor and point data for charting and further analysis or alarming.

The integrated geographic information systems (GIS) component can take in multiple GIS format files and live map servers without additional tools.

It supports automatic conversions and reprojections between local, global and projected coordinate systems for data and layers. Additional dynamic options such as contours, heatmaps and vectors based on data values help visualise trends on the map.

Canary has also introduced the MLSuite Data Classing engine, which allows users to set up templates that define patterns, properties, calculations, locations and relationships for their data.

The company said MLSuite's calculation engine features a set of tools beyond just raw data; statistical functions, trendline forecasting, if-conditionals, runtime parameters, conversions, corrections, correlations and other operations can be created and customised to suit each project's specific needs.

MLSuite also includes MultiLogger, an application designed to communicate, program and collect from different dataloggers and sensors directly.