Commit 142d2c5

jhansson-ardMatteo-it

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nicla SKUs

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`@@ -9,6 +9,7 @@ secondary_button_title: Cheat Sheet`
`9`	`9`	`core: arduino:mbed_nicla`
`10`	`10`	`certifications: [CE, FCC, UKCA, WEEE, RoHS, IC, MIC, RCM]`
`11`	`11`	`productCode: '043'`
	`12`	`+sku: [ABX00050]`
`12`	`13`	`---`
`13`	`14`
`14`	`15`	`The Nicla Sense ME houses 4 low power sensors in a small footprint enabling powerful data fusion capabilities on the edge. Analyse 'Motion' and 'Environment' with industrial grade Bosch sensors that can accurately measure rotation, acceleration, pressure, humidity, temperature, air quality and CO<sub>2</sub> levels.`

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`@@ -7,8 +7,9 @@ primary_button_title: User Manual`
`7`	`7`	`secondary_button_url: /hardware/nicla-vision/#tutorials`
`8`	`8`	`secondary_button_title: All Tutorials`
`9`	`9`	`core: arduino:mbed_nicla`
`10`		`-certifications: [CE, UKCA, RoHS, RCM, FCC]`
	`10`	`+certifications: [CE, UKCA, RoHS, RCM]`
`11`	`11`	`productCode: '120'`
	`12`	`+sku: [ABX00051]`
`12`	`13`	`---`
`13`	`14`
`14`	`15`	`The Arduino® Nicla Vision is a ready-to-use, standalone camera for analyzing and processing images on the edge. Thanks to its 2 MP color camera, smart 6-axis motion sensor, integrated microphone and distance sensor, it is suitable for asset tracking, object recognition and predictive maintenance. Quickly implement sensor nodes to send collected data to the Arduino® Cloud (or third-party vendor services) via integrated Wi-Fi®/Bluetooth® LE connectivity.`

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`@@ -9,6 +9,7 @@ secondary_button_title: Audio ML Guide`
`9`	`9`	`core: arduino:mbed_voice`
`10`	`10`	`productCode: 'ABX00061'`
`11`	`11`	`certifications: [CE, UKCA]`
	`12`	`+sku: [ABX00061]`
`12`	`13`	`---`
`13`	`14`
`14`	`15`	`The Arduino® Nicla Voice packs speech and motion recognition capabilities on the edge into a tiny form factor. The board integrates a dedicated Neural Decision Processor NDP120 empowering multiple AI algorithms simultaneously. Leverage the built-in microphone, nRF52832 microcontroller, Bluetooth® Low Energy module, 6-axis IMU, and 3-axis magnetometer to create your wireless sensor network for machine learning applications with ultra low-power consumption capabilities.`

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