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AWS IoT Events is a fully managed IoT service that makes it easy to detect and respond to events from IoT sensors and applications. Events are patterns of data identifying more complicated circumstances than expected, such as changes in equipment when a belt is stuck or connected motion detectors using movement signals to activate lights and security cameras.
Streamline your operations and reduce costs with Samsaras all-in-one platform for fleet management. Live-to-the-second GPS tracking shows your vehicles in real time and pairs with rich reports so you can plan better routes, dispatch drivers at the last minute, and share accurate ETAs with customers. With integrated dash cams, driver safety scores, and automatic alerts for speeding, idling, and geofences, Samsara helps you protect your business and assets. Samsara is an FMCSA-approved ELD.
Altair SmartCore is a cloud-native platform, which offers an integrated set of services and features to help you easily connect your things to the digital world. Available as a Platform as a Service (PaaS) or on-premises, Altair SmartCore will help you execute your IoT projects faster in an easy-to-use, reliable, and highly scalable environment.
AWS Greengrass is software that lets you run local compute, messaging, data caching, sync, and ML inference capabilities for connected devices in a secure way. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. Using AWS Lambda, Greengrass ensures your IoT devices can respond quickly to local events, use Lambda functions running on Greengrass Core to interact with local resources, operate with intermittent connections, stay updated with over the air updates, and minimize the cost of transmitting IoT data to the cloud. ML Inference is a feature of AWS Greengrass that makes it easy to perform machine learning inference locally on Greengrass Core devices using models that are built and trained in the cloud. AWS Greengrass seamlessly extends AWS to devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With Greengrass, you can use familiar languages and programming models to create and test your device software in the cloud, and then deploy it to your devices. AWS Greengrass can be programmed to filter device data and only transmit necessary information back to the cloud. AWS Greengrass authenticates and encrypts device data at all points of connection using the security and access management capabilities of AWS IoT Core. This way, data is never exchanged between devices when they communicate with each other and the cloud, without proven identity.
AWS IoT SiteWise is a managed service that makes it easy to collect and organize data from industrial equipment at scale. You can easily monitor equipment across your industrial facilities to identify waste, such as breakdown of equipment and processes, production inefficiencies, and defects in products.
CAN bus analyzer, simulator, sniffer is a set of a functional hardware and software that supports R&D teams in CAN device development process. It conducts in all development tasks starting from early test and simulation phases up to final product verification. Meanwhile, it can be used as a solution for reverse engineering when it`s needed to sniff a RAW data and to find a specific information in the CAN bus.
Decreases failure-driven downtime that can be prevented through proactive repair or maintenance. Determines the right time to address an issue before it becomes costly. Accurately estimates Mean Time to Failure (MTTF) of critical assets. Lowers total cost of ownership (TCO) and repair costs.
Accelerates repair times and warranty processing with real-time detailed diagnostics, structured repair workflows, and accurate parts replacement for Improved operational efficiencies. Improves repair quality, reduces repair return rates, and decreases human error. Reduces Mean Time to Repair (MTTR) for improved uptime. Lowers operational expenses by reducing service costs, overhead on technician staffing and training, and inventory maintenance and stock
Akamai's IoT Edge Connect solution supports IoT technology by providing the global messaging network and storage infrastructure that manages and secures the device connection and data storage. Through the complete implementation of the MQTT protocol, IoT Edge Connect is designed to optimize data transmission and collection to minimize storage needs and provide real-time access to data. Using mutual authentication, the delivery of data is secured and access to the network is handled through access control technology. As IoT grows in geography and in device counts, utilizing a secure, scalable network to manage the connections and data is a critical component of ongoing operations and user acceptance of IoT.
Oracle Service Monitoring for Connected Assets Cloud Service allows for this increased visibility, self-help capabilities, automatic engagement as well as preventative and predictive maintenance.
Otii is an all-in-one developer tool for the battery optimization of IoT devices and apps, created by developers for developers. With Otii Arc and Otii software combined, you’ll have a portable power analyzer the size of a large smartphone to record data from your IoT device. And an intuitive and simple to use interface to measure the power usage of your development, in real-time, across multiple devices, wherever you are in the world.
The QLIKTAG IoT Connected Smart Products Platform is a one of kind platform enabling everyday consumer products as "Smart Products" through an internet identifier and a "digital twin" for each batch, product or serial instance. This enables the product to send or receive information over the internet through it's lifecycle enabling a wide range of smart applications & business processes from traceability, authentication, personalisation, activation, customer engagement, re-order and more.