Introduction
IoT Data Platform provides an interface to connect different sources with different data types for Real-Time Streaming and processing with Preventive Maintenance using Machine learning and Deep Learning Algorithms.
IoT Data Platform also Supports Fast Data and Reactive apps, Event-Driven, Fault Tolerance, Real-Time and Streaming Data for IoT Solution.
Business Challenge
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Build a data collector that can collect data from various sources for Home Automation, Security Cameras.
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Real-Time Streaming of Videos and Analytics.
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Real-Time Alerting System for Managed Operations
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Inventory and Device Management for All the Sensors and Equipment
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Real-Time Reporting Tool for the Stats and Usage
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Predictive Maintenance for the Equipment
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Build a highly available and scalable web API so that data collectors can send data to our web API at regular intervals and then our API can store that data in a database.
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Build an Interactive Dashboard for authenticated users to visualize all these statistics and Reporting.
Solution Offered
Real-Time Data Ingestion and Stream Processing Platform for IoT with Preventive and Predictive Maintenance using Machine Learning and Deep Learning
The IoT Data Platform includes -
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Energy consumption (electric power usage in kWh from smart energy meters)
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Temperature (degrees Celsius from wireless temperature tags/sensors)
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Integration and Device Management of the sensors and Security Cameras
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Real-time Alerting, Scheduler and Reporting Tool
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Interactive Dashboard for data visualization, analysis, and automatic generation of notifications when certain conditions are met.
Platform Solutions Offer -
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Data from conditions under monitoring is captured using different methods and tools (wireless temperature sensors, smart thermostats, and energy meters).
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Data is transmitted via the internet and stored in clients website’s database.
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Different platform is used for data visualization, analysis, and automatic generation of notifications when certain conditions are met.