Oracle IoT Intelligent Applications Cloud
Oracle’s Internet of Things (IoT) Intelligent Applications Cloud can provide you with more visibility, insights and efficiencies by capturing sensor data from connected devices using smart manufacturing, connected assets, connected logistics, workplace safety, and connected customer experience. Increase your revenue by using IoT applications to improve efficiency, increase supply chain visibility, and launch new business models. Prevent downtime by using IoT sensor data for real-time visibility and maintenance of machines, vehicles, and other assets. Reduce costs by connecting and monitoring vehicle routes and products in transit. Ensure regulatory compliance and identify causes of incidents, with real-time visibility into workplace environments.
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Samsara
Prevent HOS Violations, Drivers Log Hours in Mobile App. Real-time visibility into drivers nearing or in violation gives you peace of mind that you're complying with the ELD mandate. Access a single system for Hours of Service logging, GPS tracking, dispatch, and maintenance with a complete platform that's FMCSA certified. A built-in WiFi hotspot keeps devices connected, even when there's no cell reception. Prevent compliance errors and speed up repairs with paperless DVIRs and a real-time maintenance dashboard. Simplify compliance and operations with a platform that combines GPS tracking, Hours of Service, paperless DVIRs, temperature monitoring, and more. Plug and play installation with zero-configuration allows you to get set up in 15 minutes. Samsara's hardware works with any vehicle, including cars, light and heavy trucks, buses, and more.
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hIOTron
hIOTron's machine monitoring product is a comprehensive solution that enables you to monitor and analyze your industrial machines in real-time. With this product, you can track machine performance, detect anomalies, predict failures, and schedule maintenance activities to improve uptime and reduce downtime.
The machine monitoring product consists of a range of sensors and devices that collect data from your machines, such as temperature, pressure, vibration, and other operational parameters. This data is then transmitted to a central hub where it is analyzed using advanced analytics and machine learning algorithms to identify patterns and trends.
hIOTron platform provides a user-friendly dashboard that displays real-time machine data, key performance indicators, and alerts. It also provides reports and analytics to help you understand your machine performance and identify areas for improvement.
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AWS IoT Analytics
IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. AWS IoT Analytics is a fully managed and pay-as-you-go service that scales automatically.
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