Abstract: Methods, systems, and devices for equipment reading in a factory or plant environment are described, including: capturing an image of an environment including a measurement device; detecting a target region included in the image, the target region including at least a portion of the measurement device; determining identification information associated with the measurement device based on detecting the target region; and extracting measurement information associated with the measurement device based on detecting the target region. In some aspects, detecting the target region may include: providing the image to a machine learning network; and receiving an output from the machine learning network in response to the machine learning network processing the image based on a detection model, the output including the target region.

Abstract: Methods, systems, and computer program products for automated fault monitoring and detection in a system. The fault detection method comprising receiving real-time device measurement data from a plurality of input and/or output devices in the system; identifying at least one relationship that correlates the real-time device measurement data to a set of parameters that define operation of the system; calculating a performance indicator for the system based on the real-time device measurement data using the identified at least one relationship; and if the performance indicator is outside a predetermined range, then an anomaly is detected in the system. The fault detection method further comprises: identifying a faulty device among the plurality of input and/or output devices; and reporting the identified faulty device.

Abstract: Methods, systems, and devices for equipment reading in a factory or plant environment are described, including: capturing an image of an environment including a measurement device; detecting a target region included in the image, the target region including at least a portion of the measurement device; determining identification information associated with the measurement device based on detecting the target region; and extracting measurement information associated with the measurement device based on detecting the target region. In some aspects, detecting the target region may include: providing the image to a machine learning network; and receiving an output from the machine learning network in response to the machine learning network processing the image based on a detection model, the output including the target region.