aicas Use Cases

Learn how customers successfully implemented aicas IoT and automotive solutions

aicas’ products are used in millions of devices and vehicles. Various industrial companies, car manufacturers and their suppliers are successfully using aicas for their embedded IoT and cloud-to-edge solutions. 5 of the 10 biggest automotive manufacturers rely on aicas.

Telematics / V2C Connectivity

WHO
Forklift manufacturer

WHAT
Allow for the creation of new business models while ensuring compliance and improving business processes. All while reducing development times with sensor data. Service optimization at its best.

HOW
The constantly growing amount of data requires an intelligent selection of expedient data. To this end, aicas provides a software stack running on forklifts and connecting these to the cloud. aicas’ software collects and processes vehicle data, like CAN / CAN-Bus data from forklifts generating a digital twin.

VALUE
The collected data allows to create new sources of revenue while being able to react a lot quicker to customer requirements. At the same time, the collected data allows the company to draw conclusions regarding customer compliance to use like environment, speed, etc.. At the same time, defects become apparent more rapidly. Wear and tear is noticed more quickly and can swiftly be fixed.


Abstraction

WHO
Automotive Original Equipment Manufacturer

WHAT
Application management – Reduce the software complexity for different automotive brands, vehicle models, platforms, and subsystems.

HOW
The automotive EdgeRuntimes of aicas EdgeSuite for automotive provide an abstraction for all the ECUs in a car from the underlying computing platform. Moreover, these EdgeRuntimes support a broad range of embedded technologies and (automotive) protocols. This enables software reuse across models and brands.

VALUE
aicas EdgeSuite enables the complete lifecycle management of different ECUs and connected subsystems in one comprehensive system.

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Sensor Connectivity

WHO
Legacy factory

WHAT
Making a legacy factory smart: Implementing IoT systems for manufacturing is almost never a greenfield approach. It is always about retrofitting existing factories or machinery.

HOW
aicas EdgeSuite connects sensors via an Espressif ESP32 to connect IO-Link to the cloud with WiFi and MQTT.

VALUE
An inexpensive, scalable, decentralized, plug-and-play solution that can be maintained with OTA updates. The installation of sensors is easy and fast without interrupting the production cycle and without the requirement of software development or difficult configurations on-site.


Intelligent Data Management

WHO
Claas (Harvesters / Agriculture)

WHAT
Bring new information to the driver of the harvester to maximize yield by improving harvester operation, machine efficiency and utilization​.

HOW
aicas’ JamaicaVM is used to process machine data from the harvester’s CANbus.

VALUE
Machine throughput was increased. The harvester operator experiences higher comfort and more efficiency. Claas has been able to win market shares thanks to these new features.

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Application Management

WHO
3 of the 5 leading automobile manufacturers

WHAT
Provide in-vehicle infotainment (IVI) and telematics platform supporting over-the-air updates.

HOW
Use aicas EdgeSuite runtime JamaicaCAR for app development and deployment, thus providing a secure, robust, and consistent framework for running and updating IVI apps over the air. The framework runs on QNX, VxWorks, as well as a broad range of other RTOSes.

VALUE
A consistent programming interface (IVI platform) covering multiple vehicle generations and three tier-one suppliers for running and dynamically updating deployed infotainment and telematics systems. JamaicaCAR provides the same capabilities as Android, but requires less computing power and memory while preserving the OEM’s control over the user experience and data.

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Logic Management

WHO
Siemens Industrial Automation

WHAT
Siemens high-end motion control system “Simotion”: provide customers with robust means to program devices, while maintaining a clock cycle below 125µs.

HOW
aicas’ embedded JamaicaVM runs Java code with standards based hard realtime capabilities. This is based on aicas’ deterministic garbage collector.

VALUE
JamaicaVM enables robust device programming, thus reducing the cost of customization for both Siemens and its customers. JamaicaVM has been in operation on Siemens Simatic for over 10 years.​

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Intelligent Data Management

WHO
Aircraft Manufacturer

WHAT
Provide a solution that enables long-haul aircraft to transmit relevant data to the ground crew immediately after landing.

HOW
JamaicaVM is able to collect and automatically send the correct data, meaning the actually relevant data, when needed. All this can be done in realtime while maintaining the most stringent safety requirements. With that, JamaicaVM is the basis for data automation solutions.

VALUE
The data does not have to be pulled manually, and data transmission can be done after touchdown with significantly less cost per MB than with a satellite connection. Potential technical issues can be identified immediately, the ground crew can react even before the plane has reached the docking port. Turnaround or downtime of the plane is kept to a minimum, resulting in a competitive advantage.

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Abstraction

WHO
AWS Amazon Web Services

WHAT
Downsize and bring AWS IoT Greengrass 2.0 where no one has ever brought it before.

HOW
AWS, the world’s largest cloud provider, uses JamaicaVM as a runtime for their AWS IoT Greengrass 2.0 product. aicas ported JamaicaVM onto a RISC-V based hardware running a Linux operating system within less than a day. Once JamaicaVM was running on this RISC-V board, aicas engineering then ported AWS Greengrass 2.0 to this JamaicaVM enabled computing platform.

VALUE
Support of new and additional computing platforms is a must for any embedded system. Providing the abstraction as well as the broad range of operating systems and hardware platforms via JamaicaVM means that AWS customers can focus on what is really important: capturing value from their IoT systems without having to worry about the underlying infrastructure, even when new computing platforms have to be introduced. Reuseability of the systems is a given.