Resource Library

From Raw Data to Insights - Data Transformation and Harmonization for Industry 4.0

Why Transforming, Cleaning & Normalization of IOT Data?
Benefits of Flow Based Programming for Industry 4.0
Typical Transforming, Cleaning & Normalization operations for Industrial IoT

Edge Analytics & Integration for the Factory Floor

How edge analytics can enhance and simplify factory floor integrations
How the Crosser Edge Analytics solution empowers non-developers to innovate faster than ever

AI for Industrial IoT at Scale - Predictive AI in Process Industry

Setting up the right infrastructure - data pipeline - for your AI project
How to choose a development Strategy for different AI applications
How to scale your AI project into production

Computer Vision for Industrial IoT Made Real

How to design good & robust ML models
How to utilize ML in cameras and vision sensors
MLOps, orchestration and maintenance of Vision ML at scale
3 Example use cases

Anomaly Detection with Crosser's Low Code Platform

Examples of anomalies and how these can be detected using streaming analytics
How the Crosser Edge Analytics solution simplifies the implementation and roll-out of anomaly detection close to your machines

Edge Integration for Machine to Machine (M2M) Communication

Introduction to the OPC reader and OPC writer module in Crosser Flow Studio
Set up a working machine to machine data flow
Remotely test and debug the M2M data flow

Understand Edge MLOps - Life-cycle Management of ML in the Edge

Collect and prepare data to deliver results with your ML model
Test and train ML models for edge deployments
Deploy and maintain your ML model on one or many devices

Calculating OEE & Operational KPIs for Industrial IoT using Edge Analytics

Why Operational KPI’s and OEE?
Breakdown of OEE - three KPI’s in one
OEE on streaming data - utilizing the edge for real-time insights

Power and Simplicity for Brownfield Installations with Nerve and Crosser

Anomaly Detection/Predictive Maintenance over OPC-UA and Modbus in reality
High-speed Data Ingestion over fieldbus interfaces
Send triggers/notifications to 3rd party systemm

Enabling Your Machine Learning program with Nerve and Crosser

Anomaly Detection/Predictive Maintenance over OPC-UA and Modbus in reality
High-speed Data Ingestion over fieldbus interfaces
Send triggers/notifications to 3rd party systemm

IIoT Edge Computing Made Simple - Nerve and Crosser Introduction

Anomaly Detection/Predictive Maintenance over OPC-UA and Modbus in reality
High-speed Data Ingestion over fieldbus interfaces
Send triggers/notifications to 3rd party systemm

Crosser Solution Introduction

Short introduction to the Crosser Platform.

Length: 14:02

Factory Floor Integration

Use Case Video

Integrate machine data, historians, SQL servers, MES, ERP systems.

Length: 1:50

Crosser Edge Analytics Use Cases Video Deploy ML And Custom Code

Deployment of ML and Custom Code

Use Case Video

Distribution platform for your custom algorithms and code. Test, deploy and maintain. At scale.

Length: 2:13

Send Machine Data to Cloud

Use Case Video

Collect raw machine data and send to any Cloud service or storage.

Length: 1:25

Data Transformation

Use Case Video

Filter, normalize and harmonize machine data close to the machines. Prepare for a common data model.

Length: 2:25

Remote Condition Monitoring

Use Case Video

Remote assets. Look deeper. Save relevant data. Act on anomalies

Length: 2:05

Cloud Cost Reduction

Use Case Video

Reduce storage and processing costs up to 99% with smart filtering and aggregation. Bypass expensive cloud entry services.

Length: 2:06

Connect Machines with Logic

Use Case Video

Collect data from one or more machines, apply some logic and send the result to the same or different machines. Optimize performance or act on anomalies.

Length: 1:47