
Microchip Technology
Microchip Technology Inc. is a leading provider of microcontroller, mixed-signal, analog and Flash-IP solutions, providing low-risk product development, lower total system cost and faster time to market for thousands of diverse customer applications worldwide.
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United States 1989 Private $1-10b 10,001 - 50,000 Open website - TECHNOLOGY STACK
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Microchip Technology’s Tech Stack maps Microchip Technology’s participation in the IoT tech stack.
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Application Layer
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Functional Applications
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Cloud Layer
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Platform as a ServiceInfrastructure as a Service
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Edge Layer
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Automation & ControlProcessors & Edge IntelligenceActuatorsSensors
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Devices Layer
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RobotsDronesWearables
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Supporting
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Analytics & ModelingApplication Infrastructure & MiddlewareCybersecurity & PrivacyNetworks & Connectivity
Technological CapabilityNoneMinorModerateStrong -
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Microchip Technology’s IoT Snapshot maps the range and focus areas of Microchip Technology’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.TechnologiesNetworks & ConnectivityEthernetLoRaWiFiProcessors & Edge IntelligenceEmbedded Operating SystemsMicrocontrollers & Printed Circuit BoardsCybersecurity & PrivacyEndpoint SecurityIdentity & Authentication ManagementSensorsTemperature SensorsAnalytics & ModelingPredictive AnalyticsUse CasesAdvanced Metering Infrastructure (AMI)Predictive MaintenanceSmart LightingVehicle TelematicsFunctionsMaintenanceIndustriesAerospaceAutomotiveElectronicsNational Security & DefenseSecurity & Public SafetySemiconductorsServicesSystem Integration
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- CASE STUDIES
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Microchip Technology: Predictive Maintenance for Industry 4.0Industrial robotic systems see increasing levels of vibration on their mechanical elements which often indicates the need for service. Factory operations personnel need to find a way to increase their awareness of vibration and use AI/ML analytics to interpret the data and address the issue in a timely manner. This is a fairly standard interpretation of predictive maintenance that many Industry 4.0 advocates aspire to.In the past, service schedules were accommodated using a paper log file, and the intervals between were often decided arbitrarily by a supervisor based on their experience and feel for the operation. As robotic systems in modern manufacturing become more complex, factory managers need to be aware of their maintenance requirements in real-time and be on top of both routine and critical service scheduling in order to avoid an interruption in service.
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- SIMILAR SUPPLIERS
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