Production-Ready: Intel Joule Module

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    Intel Joule Module is a 64-bit, Quad-Core compute engine with power management services, wireless connectivity and high speed 1/0 to accelerate your time to market. The Module integrates compatible and complementary technologies while eliminating the need to select, procure and place discrete devices. A high-end compute platform capable of delivering human-like senses to a new generation of smart devices Created for the Internet of Things (loT), the Intel Joule platform enables developers and entrepreneurs to build out an embedded system or take a prototype to commercial product faster, while also minimizing development costs. The platform incorporates a vast software and hardware ecosystem, enabling developers to choose from multiple operating systems and take advantage of off-the-shelf libraries and sensors.

    The platform also includes support for Intel® RealSense TM technology, making it particularly well suited for products and industrial systems requiring advanced computer vision or high-end edge computing.

    Joule Evaluation Kit

    The Intel Joule compute modules are system-on-modules (SoM) combining a 64-bit, quad-core compute engine with power management services, wireless connectivity, and high-speed 1/0. It enables you to rapidly move your ideas from concept to prototype to production for a fraction of the expense of traditional system development. A high-end compute engine with graphics and large memory in a tiny, low power package makes it an ideal platform for innovative loT applications and products requiring advanced computer vision.
    • 1.7 GHz Quad-Core CPU, up to 2.4 GHz Burst
    • 4GB LPDDR4
    • 16GB eMMC
    • Enhanced Support for Intel RealSense Cameras & Libraries
    • 24x48mm Modular Design
    • 802.11 ac Wi-Fi
    • Bluetooth 4.2
    • 4K Video Capture & Display
    • 2 USB3, USB2, PC le, x4 OSI, x4 CSI, SPI, 3 I2C, I2S, DMIC, t2 UART, HDMI
                      
    Manufacturer & Part NumberPrice & Availability
    Intel Corporation
    GT.PDKW
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