Physical Measurements to Actionable Data - Solutions for Inertial, Optical, Capacitance, Temperature, ADCs and more
An overview of several sensors and data converters, their associated controller, device drivers, and software interfaces.
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    Physical Measurements to Actionable Data - Solutions for Inertial, Optical, Capacitance, Temperature, ADCs and more

    Feb 9 2022

    This video will give an overview of some of Analog Devices' hardware and software reference designs that reduces friction in all phases of a product's development: proof of concept, prototyping, and production. We will begin by showing a MEMS gyroscope connected to a tiny Raspberry Pi computer on a USB battery pack. The driver structure and example code will be described, followed by a demonstration.

    An optical measurement platform on an Arduino board will then be shown, and compared to the gyroscope. While these two examples have completely different sensors and controller boards, they are both compatible with powerful cross-platform library and language bindings that allow scientists, physicists, chemists, and other subject matter experts to develop applications without needing to understand device drivers or embedded code.

    Physical Measurements to Actionable Data - Solutions for Inertial, Optical, Capacitance, Temperature, ADCs and more
    An overview of several sensors and data converters, their associated controller, device drivers, and software interfaces.
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      Physical Measurements to Actionable Data - Solutions for Inertial, Optical, Capacitance, Temperature, ADCs and more

      Feb 9 2022

      This video will give an overview of some of Analog Devices' hardware and software reference designs that reduces friction in all phases of a product's development: proof of concept, prototyping, and production. We will begin by showing a MEMS gyroscope connected to a tiny Raspberry Pi computer on a USB battery pack. The driver structure and example code will be described, followed by a demonstration.

      An optical measurement platform on an Arduino board will then be shown, and compared to the gyroscope. While these two examples have completely different sensors and controller boards, they are both compatible with powerful cross-platform library and language bindings that allow scientists, physicists, chemists, and other subject matter experts to develop applications without needing to understand device drivers or embedded code.