Improve or optimize traffic flow by using real-time data from traffic sensors to adjust timing on traffic lights, saving travelers precious minutes during morning or evening commutes.
Adaptive traffic controls use vehicle volumes to adjust the length and timing of red and green lights.
Provide accurate location, ETA, and routing information to passengers.
Sensors can capture real-time location data of trains and buses and provide commuters near perfect arrival times. This reduces commuter wait time, thus increasing their productivity. Transportation companies can also adjust schedules and routes based on utilization rates.
Sensors can detect flaws, predict failures, and optimize machine efficiencies.
Smart street lights can provide multiple streams of data to enable a smart city environment. With feeds for data such as Temperature/Humidity, Ambient Light, Ambient Sound, Carbon Monoxide and even CCTV, cities are better positioned to manage their energy consumption and augment other systems such as traffic management, public safety and the like.
Utility companies can use sensors to capture readings in real-time, rather than relying on labor-intensive, manual meter reading.
They will also have better control and oversight of their equipment. Understanding usage can also enable demand-management programs (encouraging energy conservation through variable pricing).
Just a few lines of code connects devices to Buddy Platform, no heavy agents or proprietary silicon requirements necessary. This model allows any connected device to send data to Buddy, helping to gain intelligence from sensors already deployed, and ones that soon will be.
Buddy can translate raw data into seamless connections to gain valuable insight through actionable business and customer intelligence. This includes functionality for custom analysis in the cloud, and two way communication between devices, or from your business systems back to the devices themselves.
Once data is normalized with Buddy, it can be sent to a wide variety of business systems for rich visualization, connecting to machine to machine systems, or deep analysis with big data systems like Hadoop. Easily integrate data into everything from Splunk, Salesforce, Microsoft Dynamics, ZenDesk, Tableau and beyond.