Apply Deep Learning to Building-Automation IoT Sensors (.PDF Download)

    July 27, 2016

    In building automation, sensors such as motion detectors, photocells, temperature, and CO2 and smoke detectors are used primarily for energy savings and safety. Next-generation buildings, however, are intended to be significantly more intelligent, with the capability to analyze space utilization, monitor occupants’ comfort, and generate business intelligence...

    Register or Sign in below to download the full article in .PDF format, including high-resolution graphics and schematics when applicable.

    Download

    Continue Reading

    Sponsored

    The advent of USB Type-C marked a turning point in connectivity. This compact, reversible connector has transformed the way we exchange data and power our devices, offering accelerated...
    The Same Sky interconnect group carries a comprehensive line of connectors to reduce the burden on the design engineer. Their wide selection of mechanical configurations and simple...
    From data converters to sensing, beginner to advanced – look to the Analog Design Journal for answers to your analog design questions. Some of the industry’s most knowledgeable...
    3M Industrial Cables are designed to meet the rigorous demands of modern industrial applications. Their portfolio includes high-performance solutions for data, signal, and power...