Webinars & Videos

• The Power of Machine Learning and How to create value
• Main Steps to Get Started with Machine Learning
• 2 real life use case examples from Crosser Customers
• Overview of the Crosser low-code Platform

The purpose built platform for simplifying advanced analytics, machine learning, integration and automation of industrial data.

• 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

• 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

• 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

• 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

• 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

• 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

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

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

• What is Hyperautomation
• Intelligent Process Automation for the Smart Factory
• Gain a Data Driven competitive advantage with your Machine Data
• 2 Real Life use case examples from Crosser Customers

The purpose built platform for simplifying advanced analytics, machine learning, integration and automation of industrial data.

Crosser Edge Analytics, Integration & Automation Platform Introduction. High Level Walkthrough and Technical Demo.

Short introduction to the Crosser Platform.

Length: 14:02

In this short introduction, Crosser's CTO Goran Appelquist Ph.D., walk you through features and functions within the Crosser Flow Studio addressing a specific use case involving OPC and XML.

As an enterprise you can´t ignore your legacy systems but with Crosser IPA you can make your messy legacy part of your digital future. See the video introduction here.

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

Length: 1:50

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

Length: 2:13

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

Length: 1:25

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

Length: 2:25

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

Length: 2:05

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

Length: 2:06

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

Separation of machine data for delivery of data to machine builders/OEMs and other external users.

Length: 1:30

Message broker built for the shop floor to simplify machine communication and system integration.

Length: 1:34

Leverage off-the-shelf cameras, find anomalies and integrate triggers.

Length: 1:32

Use cameras to detect when people or object move in or out of areas. Warn intruders or stop machines to avoid incidents.

Length: 1:32