ap-ml-state-monitor.xml

<data:item xmlns:data="data" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="data ../../xsd/alp.xsd" type="sw_pack" format="projectfile" versionSchema="1.0.0" name="ML State Monitor" uuid="0ce64f40-cd87-41f9-aa05-c0701bf9fa42" id="ap-ml-state-monitor">
    <display_title>
        ML State Monitor
    </display_title>
    <overview>
        <![CDATA[This Machine Learning (ML) application software pack relies on Deep Learning and enables developers to develop and deploy neural networks on MCU-based systems for building smart sensing applications that use time series real-time sensed data for system state monitoring.<br>]]>
    </overview>
    <toolchains>
        <toolchain name="mcux"></toolchain>
    </toolchains>
    <families>
        <family name="mcx"></family>
        <family name="imxrt"></family>
        <family name="lpc"></family>
        <family name="kinetis"></family>
    </families>
    <nxp_compatible_hw>
        <hw id="FRDM-MCXN947"></hw>
        <hw id="MIMXRT1170-EVK"></hw>
        <hw id="LPCXpresso55S69"></hw>
        <hw id="FRDM-K66F"></hw>
    </nxp_compatible_hw>
    <nxp_ebh_hw>
        <ebh id="nxp_frdm_stbi_a8974"></ebh>
        <ebh id="mikroe_accel_4_click"></ebh>
    </nxp_ebh_hw>
    <peripherals>
        <peripheral name="i2c"></peripheral>
        <peripheral name="sdio"></peripheral>
        <peripheral name="sensor"></peripheral>
        <peripheral name="uart"></peripheral>
        <peripheral name="timer"></peripheral>
    </peripherals>
    <categories>
        <category name="aiml"></category>
        <category name="anomaly_detection"></category>
        <category name="rtos"></category>
        <category name="sdmmc"></category>
        <category name="sensor"></category>
        <category name="tools"></category>
    </categories>
</data:item>