Application Examples


On-Street Parking Management

Urban parking is a ubiquitous problem across the spectrum of cities large and small. Landscape Computing has been used to to gather data and plan effectively by implementing a real time parking sensor system, with a user interface interrogating the Landscape Computing network via the API, resulting in a lag time as low as 10 seconds per parking event.


Bicycle and Pedestrian Counting

Landscape Computing overcomes challenges in counting and distinguishing between bicycles and pedestrians, by conducting processing at the edge of the network on the nBox and only sending the outcome for use on applications via the API. In addition to classification, the solution also determines the direction of travel. Video does not need to be transferred or stored, and most importantly no video streaming is required. This drastically reduces latency and dependence on LTE stability.


Smart Building Management: Garages

Managing the use of buildings is a significant area in the IoT space. The nBox has been used in public garages to count vehicles and send the information to a nBox-enabled dynamic digital sign on site, to indicate current garage use, as well as making the information available to applications via the Landscape Computing API. This replaces existing magnetic loop technologies with a scalable and cost effective solution. It also opens the possibility of implementing an LPR system and virtual permitting.