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AI Starter Kit 2 Go

Complete IO-Link package for IIoT retrofit solutions and initial experiments.
Bytefabrik.AI retrofit solutions

AI Starter Kit 2 Go

Our AI Starter Kit 2 Go is an instant solution for IO-Link-supported monitoring of your machines and production lines.

The complete package consists of an Edge IO-Link master from our partner Hilscher, individually selected IO-Link sensors and comprehensive IIoT analysis software based on Apache StreamPipes supplemented with numerous examples.

The edge computer integrated in the sensor box upgrades every existing and new system with Industrial Internet of Things functions. Projects such as long-term monitoring, predictive maintenance and anomaly detection can be easily implemented.

Thanks to the IO-Link standard, the solution is compatible with thousands of sensors and the IP67 conformity allows installation directly on the machine without a control cabinet.

IO-Link Edge Gateway

SensorEDGE FIELD

Software

SensorEDGE FIELD

Optional sensor

Sensor

already from 950€

Wide range of applications

Applications

Condition monitoring, predictive maintenance, activity detection

The IO-Link AI Starter Kit 2 Go makes it possible to intelligently monitor and optimize industrial processes.

Condition monitoring and predictive maintenance are key areas of application in which the condition of machines can be recorded in real time and potential failures can be detected at an early stage. Retrofitting is often the more cost-effective option, especially for older existing systems.

The activity detection kit can also be used to analyze production processes and increase efficiency. For example, throughput times can be easily analyzed. By applying precisely tailored AI processes to the software's live data, downtimes can be minimized and productivity increased.

Hands-on learning, understanding of Industry 4.0, integration of AI into curricula

The IO-Link AI Starter Kit is ideal for use in educational institutions. It offers pupils and students a practical opportunity to learn the basics of Industry 4.0 and artificial intelligence.

Hands-on learning allows theoretical concepts to be put into practice. Teachers have the opportunity to integrate the kit into their curricula and thus prepare the next generation for the demands of digitalized industry.

The comprehensive open-source software makes it easy to learn how to use protocols such as IO-Link or OPC-UA in a practical way - and the visualization of live data and patterns from historical data, for example, also allows initial successes to be achieved quickly and more complex AI processes to be tested in a clear way.

Prototype development, data acquisition, experimental AI models

The IO-Link AI Starter Kit opens up a wide range of applications in research. It is ideal for developing and testing new prototypes, particularly in the field of industrial automation.

Researchers can use the kit to collect extensive data and develop and test experimental AI models. This promotes innovation and accelerates the development of new technologies, as "secondary tasks" such as linking live data with self-created models become significantly less time-consuming.

The Starter Kit is also suitable for creating demonstrators - real data can be obtained and integrated into a demonstrator environment with little effort.

Would you like to get started right away?

Range of functions

Made for ambitious analysis challenges - or a quick start

IO-Link data acquisition

IP67-compliant sensor box with an Ethernet uplink port for data acquisition from up to 8 local IO-Link sensors as well as a web-based IO-Link configurator and MQTT data converter.

IIoT Edge Gateway

Thanks to container technology, an integrated edge computer enables sensor data to be recorded directly in the device and fed into the analysis software. Data integration has never been so easy!

Flexible data analysis

Comprehensive software solution with over 100 preconfigured algorithms for data evaluation and a visual analysis component for data exploration - all directly on the live data from the connected sensors.

Simple integration of AI applications

Using the Python module with "Function Zoo", you can create customized AI applications from a wide range of approaches. Integration into the real-time-capable application takes place in just a few steps.

Open Source

The software in the AI starter package is based on our open source solution Apache StreamPipes. You can use the software permanently without license costs. If required, we offer professional support and extensions at any time.

Extensive examples included

The starter kit also contains extensive documentation and many examples, e.g. for AI anomaly detection, in the form of notebooks and code snippets that can be applied directly to the data.
Product information

Software

Our software is the easy start to the data-driven improvement of your machines and production lines! Fully configurable, you get a turnkey solution for real-time machine data acquisition, data exploration and analysis.

Allgemeines
  • Open platform for IIoT data analysis based on the open source solution Apache StreamPipes initiated by Bytefabrik
Datenerfassung
  • Connection of live data at the click of a mouse for IO-Link and >20 other industrial protocols (e.g. OPC-UA, S7, Modbus)
  • Distributed setup with decentralized edge-based data pre-processing
Analysefunktionen
  • Modular system with over 100 preconfigured algorithms for data cleansing and real-time analysis
  • Flexible alerting, automatic historization and data transfer to third-party systems without programming effort
Visuelle Auswertung
  • Visual data exploration of sensor and process data and live dashboard for store floor monitoring
KI-Funktionen
  • VPython client for data exploration with integrated Function Zoo based on existing models (e.g. anomaly detection, classification), productive operation via integrable function blocks
Dokumentation und Beispiele
  • Code examples for the integration of AI models and applications
  • Python notebooks with examples of data pre-processing and integration of machine learning libraries
Product information

Hardware

The sensorEDGE FIELD Edge IO-Link master from Hilscher has an integrated app container environment. The basic application automatically recognizes connected IO-Link sensors and immediately starts data acquisition.

IO-Link
  • Connections: 8 x M12 A-coded, socket; 5-pin
  • Master class: Class A; Specification V1.1
  • Operating mode: IO-Link Sensors only
  • Power supply: At least 1A per connection
  • Commissioning: Auto-detect/web configurator
Ethernet
  • Connection: 1x M12 D-coded, socket; 4-pin
  • Standard: Class A; Specification V1.1
  • Communication: Sensors only
  • Auto-negotiation/crossover: At least 1A per connection
Versorgung
  • Connection: 1x M12 D-coded, socket; 4-pin
  • Voltage: Class A; Specification V1.1
  • Rated current :Sensors only
Edge
  • Processor: 1.66 Ghz quad-core ARM Cortex-A53 64Bit
  • RAM: 2GByte LPDDR4
  • Memory: 16GByte eMMC
  • Operating system: Yocto project Linux, netFIELD OS
  • Container engine: Moby project, OCI-compatible
Geometrie und Mechanik
  • Dimensions (LxWxH): 200x60x20 mm (without plug)
  • Weight: K420g
  • Conformity: NCE & UKCA
Lieferumfang
  • sensorEdge FIELD IO-Link master
  • Power supply and IO-Link network cable
  • incl. sensors on request

Would you like to get started right away?