TensorFlow Images Processor

TensorFlow Processor

XMR Chart

MC Technical Documentation

Manufacturing Connect Edge 4.0

User Journey

Overview

System Requirements

ISO Installation on Hypervisors

ISO Installation on an Industrial PC (IPC)

OVA Installation on Virtual Machine

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Access the Terminal User Interface

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Allen-Bradley

Atlas Copco

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Beckhoff

Brother Industries Ltd

CAN Bus

CodeSys Devices

Cutler-Hammer

Danfoss

Delta PLC

Emerson

Euromap63

Excel

Fanuc Corporation

Fuji Devices

GE Fanuc

GPIO

Heidenhain

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Hitachi Devices

JTEKT Toyopuc

Keyence

Koyo

LS Industrial System

Mitsubishi

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Panasonic

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Organize Device and Tag Data by Using Metadata

Use the PLC-Status Topic to Verify Connection Status

Use the Manage Topic to Stop a Device

Use the Poll-Once Topic to Manually Retrieve Register Values

Use the Write Topic to Send Data to a PLC

Use the Batch-Write Topic to Send Multiple Write Requests

Use the Status Register to Connect a PLC

Use the Siemens S7 Browse Agent

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DeviceHub Guides

Visualize Data Using Grafana

Use Marketplace SDK with Python

Deploy and Use MySQL

Set Up the Influx Client for InfluxQL Queries

Add an Application Container Using Docker Compose

Applications Guides

Use the Anomaly Detection Function

Use the Base Conversion Function

Use the Combination Processor Function

Use the Conversion Function

Use the Expression Processor Function

Use the Feature Extractor Function

Use the Gaussian Filter Function

Use the Inputs Processor Function

Use the Join Processor Function

Use the Linear Prediction Function

Use the Moving Window Processor Function

Use the Normalization Processor Function

Use the Rise and Fall Function

Use the Rounding Function

Use the Signal Decomposition Function

Use the Statistical Prediction Function

Use the Statistical Tests Function

Use the Tengo Script Function

Use the XMR Chart Function

Use the Asset Online Percentage KPI

Use the Change of Value KPI

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Use the Maintenance and Failure KPI

Use the Manufacture Counter KPI

Use the Online and Offline Percentage KPI

Use the Production Time and Cycle Time Ratio KPI

Use the Uptime and Downtime by Value KPI

Analytics Guides

AMQP SSL Integration Guide

AMQP TCP Integration Guide

Generic MQTT Integration Guide (HiveMQ)

Generic MQTT Integration Guide (Last Will and Testament)

Generic MQTT Integration Guide (Mosquitto)

Generic MQTT Over SSL Integration Guide (Mosquitto)

Google Cloud Pub/Sub Integration Guide

InfluxDB v1.7.x SSL Integration Guide

InfluxDB v1.7.x TCP Integration Guide

InfluxDB v2.x SSL Integration Guide

InfluxDB v2.x TCP Integration Guide

Install the Mosquitto MQTT Broker on Ubuntu

Kafka SSL Integration Guide

Kafka TCP Integration Guide

MongoDB Integration Guide

MySQL Integration Guide

MySQL SSL Integration Guide

PostgreSQL Integration Guide

PostgreSQL SSL Integration Guide

Set Up Edge Cascading with the NATS Connector

Work with Tables in SQL Connectors (Create Table and Show Mapping)

Integration Guides

Set Up the OSI Agent

Set Up the DeviceHub Agent

Add an OPC UA Server Connection with UA Expert Client

Untitled

VirtualBox Only Showing 32-bit and No 64-bit Versions

Browser Issues

Installation and Deployments Troubleshooting

Device Connectivity Issues

Tag Upload through CSV Issues

DeviceHub Troubleshooting

MySQL Error Message: Too Many Connections

Flows Troubleshooting

Marketplace Launch Application 404 Error

Marketplace Troubleshooting

Troubleshooting

Parameters	Details
Number of Inputs	This parameter specifies the file path for the pre-trained TensorFlow model that will be used for processing the images.
Number of Inputs	This parameter specifies the number of inputs given to the Tensorflow model.
Tags	This parameter allows you to specify tags for loading the model. If there are multiple tags, you can separate them using commas.
Input Operation	This parameter refers to the input tensor that was used when creating the TensorFlow model. Usually the dictionary of values you feed to the model.
Output Operation	This parameter refers to the output tensor used during the creation of the TensorFlow model. It usually represents the output of the model.
Time Shift Ms	This parameter indicates by how many milliseconds the current timestamp should be shifted.

TensorFlow Processor

TensorFlow Overview

TensorFlow Parameters