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Freescale Vybrid Controllers: Cortex A5 + Cortex M4 Solutions

Freescale announced the new Vybrid platform based on Cortex A5 application processor and Cortex-M4 MCU (VF6xx and VF7xx family only) which targets building/home automation and control, industrial automation, point-of-sale systems, medical devices, smart energy equipment, and appliances. There are 5 families of Vybrid Controllers which support the following common features: Video/Camera Interface Unit + optional OpenVG GPU (except VF3xx) Up to 800 MHz data rate DDR3 and LPDDR2 support (except VF3xx) USB 2.0 OTF with Integrated PHY (1 or 2 depending on model) Ethernet 10/100 MAC (1 or 2 depending on model) Display controller (WQVGA to XGA resolutions) High-assurance boot with Crypto Acceleration Up to 1.5 MB on chip SRAM NAND Flash controller and Dual Quad-SPI with eXecute-In-Place(XIP) Dual 12-bit ADC and DAC Here are the 5 families of Vybrid platforms and key differentiating features: VF3xx: ARM Cortex-A5 up to 266 MHz, 1x USB 2.0 OTG, 2x Ethernet, display up […]

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FSLBOT: Freescale (Dancing) Robot Kit

Freescale unveiled the FSLBOT prototype last year (and I missed it!), and today, the company has announced further improvements to the Freescale Tower System mechatronics robot and board, a bipedal robot and development board that allows designers to write software for a variety of sensor applications while making a robot walk and respond to touch, motion, vibration, tilt and other external stimuli. The new version of the robot uses a new programming language based on StickOS, has wireless capabilities and adds an Xtrinsic MAG3110 magnetometer. This robot has been designed with the collaboration of StickOS and CPUStick.com with the goal “to create a tool that would enable casual users and consumers of technology to become creators and innovators”. The Freescale FSLBOT Robot Kit comes with the following: Freescale Tower System mechatronics board powered by a 32-bit ColdFire MCU with 64K of RAM and 512K of flash. Leg mechanics and associated […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
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iWave Systems Rainbow-G15M-Q7: Qseven SOMs Based on Freescale i.MX 6 Series

iWave Systems, an embedded systems company based in Bangalore, India, has launched Qseven Modules powered by Freescale i.MX 6Quad (quad-core Cortex A9 processor), i.MX 6Duo (dual -core) and i.MX6 Solo. The Rainbow-G15M-Q7 modules are compliant with Qseven specification R1.20 and target the Industrial, Automotive and Medical markets. Here are the modules specifications: CPU: Freescale i.MX6  Cortex A9 Q/D/S core @ 1 GHz Memory: 1GB DDR3 SDRAM– Expandable to 4GB Optional 8GB eMMC Flash On-Board Micro SD slot  Qseven Edge Connector : PCIe v2.0 HDMI 1.4 SATA 3.0 Gigabit Ethernet Dual LVDS LCD Support 4 x USB 2.0 Host | 1x USB 2.0 device AC97 Audio 8-Bit SD/MMC CAN1, SPI & I2C ports Debug Port  Expansion Connector: 2x Camera CSI MIPI CSI & DSI 24 Bit RGB LCD IF Triple UART 4×4 Key Matrix ESAI (Embedded Software Application Interface) , SPDIF MLB (Media Local Bus), CAN2 I2C, PWM, GPIO, Memory bus Form […]

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Energy Micro Announces EFM32G-DK3550 Gecko (Cortex-M3) Development Kit

Energy Micro has just announced the availability of the EFM32G-DK3550 development kit based on ARM Cortex-M3 EFM32G890F128 MCU. The kit (pictured below) is based on the main board from the bigger Leopard and Giant Gecko kits and supports SEGGER J-Trace and J-Link in order to reduce the need for additional debugging tools. Here are the development kit specifications: EFM32G890F128 Gecko Cortex-M3 MCU 4MB PSRAM 16MB NOR-Flash 320 x 240 RGB resistive touch TFT display Ethernet MAC/PHY microSD slot audio I/O and I2S DAC USB debug interface, SEGGER J-Link debugger Advanced Energy Monitoring (AEM) system to monitor the prototype’s energy consumption. 2x RS232,  IrDA Switches, Joystick, LEDs, potentiometer… EXP32 Prototyping area (right side of the picture) For software development, Energy Micro provides Simplicity Studio suite, which includes energyAware Profiler that can interface with the AEM system via USB, gather all relevant system data, and display real-time graphs of current consumption on a […]

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Mele A1000: AllWinner A10 (Cortex A8) Based Hackable Android STB

The Mele A1000 is an Android 2.3 IP Set-top Box (STB) powered by AllWinner A10 (Cortex A8) CPU with 512 MB RAM and 2 GB NAND Flash.  AllWinner A10 is the CPU to be used by the 15 USD (BOM Cost) Rhombus Tech Linux Computer, an alternative to the Raspberry-Pi. Since they do not have an alpha board yet, the Mele A1000 STB is apparently the development platform chosen by developers involved in Rhombus Tech low cost board while they wait for the hardware. Let’s have a look at the device specifications: CPU: ARM CortexA8 1GHz (AllWinner A10) Memory: DDR3 512MB RAM / 2 4GB Nand Flash OS System: Android 2.3 External Storage: Supports SD card up to 32GB, supports 2.5″ SATA HDD up to 1TB, Supports max 16GB USB flash disk Video coding: HD MPEG1/2/4.H.264.HD AVC/VC-1,RM/RMVB, Xvid/DviX4/5/6, RealVideo8/9/10, VP6 Video Format: ts/m2ts/tp/trp/mkv/mp4/mov/avi/rm/rmvb/wmv/vob/asf/flv/dat/mpf/mpeg Audio Format: MP3/WMA/WMV/OGG/FLAC/MKV Subtitle Format: SRT/SMI/SSA/ASS Network […]

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uClinux Running on Freescale Kinetis K70 MCU (Cortex-M4) Module

Last year, I posted about Linux for Cortex M3 & M4 Micro-controllers and noted it was difficult to find cost effective Cortex-M based boards able to run uClinux or Linux (RAM being the main issue). Freescale TWR-K70F120M  is a module based on Kinetis K70 MCU (Cortex M-4) with plenty of RAM (128MB) to run Linux or uClinux. It is available for 109 USD or 179 USD with Freescale Tower system (TWR-K70F120M-KIT). Here are the key features of the module: Freescale MK70FN1M0VMJ12 Cortex-M4 MCU @ 120 MHz (Product Brief) Touch Tower Plug-in Socket General purpose Tower Plug-in (TWRPI) socket On-board JTAG debug circuit (OSJTAG) with virtual serial port 128 MB DDR2 SDRAM memory 256 MB SLC NAND flash memory Three axis accelerometer (MMA8451Q) Potentiometer Micro-SD Card slot I could not find an open source uClinux implementation for Kinetis K70, but emCraft has a Linux Board Support Package (BSP) for the Freescale TWR-K70F120M-KIT […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
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Android Device Porting Tutorial – Android Builder Summit 2012

Benjamin Zores, Open Source Software and Multimedia Architect at Alcatel-Lucent, gives step-by-step to port Android to your own device at Android Builder Summit in February 2012. Abstract: This talk is presented as a step by step tutorial meant for Android platform rookies, as to discover all Androidisms one has to tackle down to bring his own custom device to life. Based on a real-life Android 4.0 ICS device porting experience, the talk will cover early board bringup (from U-Boot and Fastboot to Linux kernel and drivers), AOSP device integration, Android-specific device init customization, touchscreen input layer adaptations and Hardware Abstraction Layer (HAL) driver interfaces development. You can also download the presentation slides on linuxfoundation.org website.

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Marvell Releases Kinoma Play for Android and Kinoma Create SDK

Marvell has just announced the availability of the preview release of Kinoma Play for Android which includes a suite of 50 apps enabling digital media, social networking, location, and search. It’s somewhat surprising that a silicon vendor releases a processor agnostic software for Android, but here’s the reasoning behind it: “Marvell is investing in our Kinoma software platform because we understand the importance of great software to the success of our customers. Our vision of the Connected Lifestyle guides our product development. Kinoma Play truly shows the power of that Connected Lifestyle,” said Weili Dai, Co-Founder of Marvell. “I believe our customers can now build on Kinoma to bring increased value to their own products. Android is just the first stop. We’re working to bring Kinoma to additional Marvell-powered devices.” Kinoma Play Kinoma Play includes 5 dashboard: Play shows near real-time information from every Kinoma app with news, social networks, […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications