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Arm SystemReady 

In our latest Witekio Podcast, we’re joined by Grant Likely, Senior Director and Distinguished Engineer at Arm to get to the bottom of their new Arm SystemReady project.

Discover: 

  • What is Project Cassini?  
  • What does a compliance certification program mean? 
  • What are the benefits of Arm SystemReady for software developers?
  • And more…. 

Xilinx Kria SoM 

In our latest Witekio Podcast, we’re joined by Chetan Khona the Senior Director Industrial, Vision, Healthcare & Sciences at AMD to talk everything Xilinx Kria SoM

Listen on to find out:

  • Exactly what Xilinx Kria SoM is
  • What you need to get started
  • The advantages of using Kria SoM compared to a board processor

and much more…

 

NXP – Secure by Design 

Amanda McGregor speaks about implementing security into IoT products with the help of the i.MX8 MCU.

  • OEM builds security enablement systems into their design specs, from development through to product release.
  • The i.MX 8, which can run Linux, has great security capabilities such as:
    • Secure Boot,
    • Cryptography Encryption,
    • Trust zone,
    • Cloud to Edge capacity and,
    • Power/Intelligence Tracking to minimize external attacks.
  • Warning to OEMs on the alarming statistics regarding breaches (up 67% in the past 5 years) and, with new regulations coming into play, the recommendation to implement additional security into new and existing products.

 

NVIDIA Jetson Platform

Discover NVIDIA’s Jetson Platform, a top choice for any use case involving running AI at the edge.

Adrien Leravat, Cloud Architect at Witekio speaks to Suhas Sheshadri, Software Product Manager at NVIDIA.

Presentation & Success Stories

Discover one of the highest-performing hardware platforms to run AI at the edge.

It is credit-card sized and can respond to several different Edge AI application demands:

  • Autonomous mobile robots
  • Delivery robots
  • Intelligent video surveillance in retail
  • Intelligent farming
  • Smart city applications
  • Medical devices
  • Collaborative solutions

Learn more about one of their use-cases, a delivery robot that handles real-world challenges including navigating on side roads, crossing streets, detecting obstacles, and interacting with customers.

How Can it Run AI Models at the Edge

 

The NVIDIA Jetson Platform is one of the highest performing hardware platforms to run AI at the edge.

It is credit-card sized and can respond to several different Edge AI application demands:

  • Autonomous mobile robots
  • Delivery robots
  • Intelligent video surveillance in retail
  • Intelligent farming
  • Smart city applications
  • Medical devices
  • Collaborative solutions

For any use case involving running AI at the edge, the NVIDIA Embedded Jetson Platform is a top choice.

ST Microelectronics – STM32MP1

New features, security, and a brilliant MPU for running Android!

Ed Langley, Engineering Manager @Witekio speaks to Martin Lesniak, Principal  Engineer @STMicroelectronics

Securing your device

Security is a growing concern in IoT devices. Ensure the success of your software development by using a chip with amazing hardware security features. STMicroelectronics’ STM32MP1 MPU, combined with Witekio’s secure development life-cycle solutions has got you covered for your IoT projects:

> Trust Zone along with OP-TEE allowing to compose a trusted execution environment

> Firmware update OTA

> Secure boot authentication to stop unsigned code running

> Root of trust

> OTP area for specific places in the space for secret credentials

> Compatible with @Witekio’s FullmetalUpdate OTA solution

New Features

The latest CPU of the STM family offers dazzling new features:

> It can process dual A7 cores up to 800 megahertz.

> On the memory side: it supports eMMC, NAND, quad SPI, NOR, SD card

> Advanced graphics support capabilities.

> Its GPU supports an OpenGL ES 2.0 standard.

> Has peripherals that allow easy connectivity to various displays including the MPIDI-DSI units.

> It is compatible with Linux, Qt, and Android.

> It includes USB connectivity, gigabit Ethernet, CAN, I2C, UART, SPI.

> It offers plenty of timers, just like a microcontroller would.

Making your product reliable

Basing a product around the STM32MP1 has shown to be a remarkable solution for IoT, connectivity, and HMI performance.

The Cortex-M within the MP1 can handle the precise timing needed for hard real-time computational activities, to complement a larger OS like Linux running on the Cortex-A.

Martin Lesniak, Principal Engineer at STMicroelectronics was involved in several such use cases of the MP1.

Flexible Architecture to Meet HMI
and Real-Time Operation

If you have multiple heterogenous cores running different OSs in your IoT device, it is essential that the software running across them can communicate effectively.

To enable that intercommunication with lower design costs for you and faster time to market, STMicroelectronics has integrated the standard OpenAMP framework into the MP1 – running on the Cortex-M4, to communicate with the A7 CPU.

The option to run an RTOS or bare-metal code on the M4 makes it possible to include very time-critical functionality such as Motor Control for industrial applications.

Further flexibility is provided by the ease of migrating code from STM32 F2 and F4 chips to the Cortex-M4 within the MP1.

Running Linux on the STM32MP1

 

ST has developed an open-source, Linux distribution, called OpenSTLinux. It has been mainlined and is acknowledged and accepted by the Linux community.

The distribution supports development for the Cortex-A7 side of the device equation, and it contains elements such as:

  • The Linux BSP
  • Kernel Drivers
  • A secure OS managed by OP-TEE
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