Page 14 – Electronics-Lab.com

PicoQuake Vibration Sensor – An Open Source Device built Around Raspberry Pi’s RP2040 MCU

Posted on 2 July, 20242 July, 2024 by Debashis Das

PicoQuake Vibration Sensor is a sensor that is designed to measure a wide range of frequencies, making it suitable for monitoring everything from swaying buildings to vibrating machinery. The unique thing about this sensor is that it’s open-sourced and can operate via a USB as a standalone device.

PicoQuake, a new vibration sensor from Slovenian maker PLab, is built on a Raspberry Pi RP2040 microcontroller and a TDK InvenSense ICM-42688-P low-noise inertial measurement unit. This combination allows it to accurately measure even very small vibrations, making it suitable for applications like optimizing electric motor vibrations, tracking trackpad clicks, and predictive maintenance.

Priced at $59, PicoQuake is a more affordable option compared to similar devices. It’s compatible with Linux, Mac, and Windows, and features open-source firmware available on GitHub. Its Python driver includes both a command-line interface and an API, enabling easy integration and customization for various projects.

PicoQuake Vibration Sensor Specifications

MCU: Raspberry Pi RP2040 dual-core Cortex-M0+ MCU @ 133 MHz with 264 KB SRAM
IMU Sensor: ICM-42688-P
- Accelerometer Ranges: +-2 g, +-4 g, +-8 g, +-16 g
- Gyro Range: up to +-2000 dps
- Sample Rate: 12.5 Hz to 4000 Hz
Configurable Low Pass Filter: 42 Hz to 3979 Hz (Second Order)
Connectivity: USB 2.0 Full Speed 12 Mbps CDC via USB Type-C
Power Requirement: 5 V, 50 mA
Cable Length: 1.8 m
Noise Performance (Low Noise Configuration):
- X-axis noise: 0.43 mg RMS
- Y-axis noise: 0.46 mg RMS
- Z-axis noise: 1.17 mg RMS
Noise Performance (Full Performance Configuration):
- X-axis noise: 1.88 mg RMS
- Y-axis noise: 2.21 mg RMS
- Z-axis noise: 2.57 mg RMS
Dimensions: 30 mm x 13 mm

The PicoQuake Vibration Sensor is priced at $59 which is a budget-friendly vibration sensor with open-source firmware available on GitHub. The company also mentions that the sensor is compatible with Linux, Mac, and Windows, it offers a Python driver with both CLI and API for easy integration and customization. more information about this product can be found on the PicoQuake website.

Banana Pi BPI-Centi-S3 is A ESP32-S3 Powered Dev Board with 1.9-inch TFT Display

Posted on 2 July, 20242 July, 2024 by Debashis Das

Banana Pi BPI-Centi-S3 is an ESP-32 S3-powered dev board with a 1.9-inch color TFT display, a rotary encoder, and a WS2812B NeoPixcel LED. GPIO and much more. These features make this board similar to the LILYGO T-Panel, LILYGO T4 S3, T-Display-S3-Long, and other display products that we have covered in our previous posts.

The board is built around an ESP32-S3 MCU it also has Wi-Fi Bluetooth and 2MB on-chip PSRAM, an 8MB SPI flash, and it features a USB-C port for power and programming. To simplify things, the company has provided a battery port that you can be equipped with a lithium battery for battery power operation.

Banana Pi BPI-Centi-S3 Dev Board Specifications

Processor: ESP32-S3, dual-core Xtensa 32-bit LX7 processor up to 240MHz
Memory: 8MB onboard FLASH ROM, 2MB PSRAM
Wireless: 2.4GHz Wi-Fi (IEEE 802.11 b/g/n), Bluetooth 5, Bluetooth mesh
Display: 1.9-inch ST7789 TFT LCD with 170×320 resolution, 8-bit 8080 parallel port interface
Interfaces: GPIO, PWM, I2C, SPI, RMT, I2S, UART, USB, JTAG
Peripherals: Rotary encoder, buzzer, WS2812 color LED
Power: USB Type-C connector, supports USB and 3.7V lithium battery input with automatic switching
Additional Features: RTC, low-power management, onboard buttons (RST, BOOT), screw mounting holes
Operating Temperature: -20°C to +60°C
Dimensions: Compact form factor with M3 screw holes for mounting

The board is compatible with ESP-IDF 4.4.3, and MicroPython 1.20.0 you can choose any of these to develop your project, and to make things simpler the company provides example code along with detailed technical resources including datasheets, schematics, and firmware links available on GitHub. Additionally, there is some other information available on the company’s wiki page. they also provide a video showcasing how to get started with the MicroPython programming on the board using Microsoft Visual Studio code.

The Banana Pi BPI-Centi-S3 board can be purchased from Aliexpress for $14.74 plus shipping.

Smart building applications with the new reComputer R1025-10

Posted on 2 July, 20242 July, 2024 by Saumitra Jagdale

Quick Facts

The reComputer R1000 is a powerful and ready-to-deploy edge IoT controller built on the Raspberry Pi CM4 platform. It features a quad-core processor for efficient operation and supports flexible configurations with 3 isolated RS485, dual Ethernet, optional wireless connectivity (4G, LoRa®, Wi-Fi/BLE, Zigbee), multiple communication protocols, and pre-configured firmware. Ideal for smart building applications, the R1000 enables effective remote device management, energy control, and more.

Introduction

Smart building applications have been calling for reliant and robust Edge IoT controllers and Seeed Studio has recently added one to its reComputer family. The reComputer R1000-10-Raspberry Gateway is an Edge IoT controller with a quad-core Cortex-A72 built on the Raspberry Pi CM4 platform. The controller enables multiple wireless and wired connectivity options, subsequently allowing control and management of devices across smart building subsystems.

Just taking a look at the reComputer R1000 from the top (see Top view), the edge IoT controller has the Raspberry Pi Compute Module 4 which fits in the carrier board with the following interfaces:

Dual ethernet interface: a one-gigabit port which supports Power-over-Ethernet (PoE) and a fast port
2 USB 2.0 Type-A and a USB type-C connectors
A HDMI 2.0 output
3 isolated RS485 ports
a SIM card slot

The SIM card slot is connected to 2 Mini-PCIe slots on the bottom; the Mini-PCIe1 supports LTE, USB LoRa®, and USB Zigbee while the Mini-PCIe2 enables SPI LoRa®, USB LoRa® and USB Zigbee. There is also a Slot for M.2 expansion cards, allowing for additional functionality or SSD storage options on the bottom of the reComputer R1000.

The Raspberry Pi CM-4 module features 4 Arm Cortex-A72 processor cores running at up to 1.5GHz. It includes up to 8GB of RAM and up to 32GB of eMMC storage. The on-board Wi-Fi (2.4/5.0GHz) and Bluetooth (BLE 5.0) connectivity only add to the communication capabilities of the reComputer R1000, which can hence support BACnet, Modbus RTU, Modbus TCP/IP and KNX protocols. Hence, users can utilize the Edge-IoT controller in new construction projects and retrofit it into existing ones to automate smart building systems.The reComputer R1000 particularly excels in HVAC control, enabling users to remotely manage heating, ventilation, and air conditioning systems.

The edge IoT controller finds application in various other smart building tasks, especially focusing on energy management. Additionally, an optional UPS battery backup ensures continuous operation and power-off notifications during outages, enhancing its robustness. The device also features overvoltage protection up to 40V and includes a reboot switch for easy system resets.

The carrier board also features a real-time clock with optional battery backup and the capability to add a supercapacitor for short-term UPS support. It also has LED lights which indicate the operational status of the controller. Seeed Studio encloses the reComputer R1000 in 6061 aluminum alloy casing, which is also compatible with DIN-rail and only adds to its suitability for smart building applications.

Note that though the reComputer R1000 supports PoE and a UPS (via supercapacitor), the respective modules need to be purchased separately. The reComputer R1000-10-Raspberry Gateway is available with several accessory purchase options on Seeed Studio’s website with documentation and further specifications. The wiki page has the necessary support for your hands on the user-friendly Yocto and Buildroot supported OS controller.

Milk-V Meles SBC has Power for Video Processing

Posted on 2 July, 20242 July, 2024 by Saumitra Jagdale

The current popularity of SBCs for complex applications in medical imaging, drones, and home robotics urges a discussion of MilkV’s Meles. Based on the TH1520A, Meles is equipped with a Quad Core RISC-V 64GCV C910 channeling video processing prowess.

Despite being the size of a credit card, Meles is equipped with a range of high-performance interfaces, which makes it particularly well-suited for advanced video processing and diverse applications. The inclusion of an HDMI 2.0 port capable of up to 4K resolution at 60 FPS ensures high-quality video output, quite handy for applications requiring clear, detailed visuals. The dual MIPI DSI interface, with support for a touchscreen, facilitates interactive display solutions, while the comprehensive audio support, including an HDMI port with audio output, I2S for audio input and output, and a 3.5mm audio jack, provides robust multimedia capabilities.

Some Interfaces to note in Meles

Additionally, the SBC features dual MIPI CSI inputs (one with four lanes and another with two lanes) for high-speed camera integration- crucial for video capture and processing tasks. With four USB 3.0 host ports and a USB 2.0 Type-C device port, it supports fast data transfer and peripheral connectivity, enhancing its ability to handle multiple devices and complex applications efficiently. There’s also a 40-pin GPIO header for versatile connections to the board.

Regarding connections, the SBC is ethernet-enabled via an RJ45 Port with transmission speeds up to 1000 Mbps, along with WiFi-5 and BTS 5.2. Specs as below give a much better about the SBC. More importantly, the SBC includes robust general-purpose Neural Network Accelerator (NNA) computing power, supporting 4 TOPS (Tera Operations Per Second) at INT8 precision. This high-performance NNA operates at a frequency of 1GHz, ensuring efficient processing for a variety of machine learning and AI applications. This computational capability is crucial for tasks that require intensive data processing and rapid inference times, such as image recognition, natural language processing, and other AI-driven functionalities.

Milk-V Meles SBC Specifications

Form Factor: Credit card-sized
Base: TH1520 SoC
Processor: Quad Core RISC-V 64GCV C910, up to 1.85GHz
SoC: TH1520
Cores: Quad Core RISC-V 64GCV C910
Clock Speed: Up to 1.85GHz
RAM: 8GB / 16GB LPDDR4X
Speed: 4266 MT/s
eMMC Slot: 1x
MicroSD Slot: 1x
HDMI: 1x HDMI 2.0, up to 4K @ 60FPS
MIPI DSI: 1x 4-lane, supports touchscreen
HDMI: 1x HDMI 2.0 with audio output
I2S: 1x, supports audio input and output
Audio Jack: 1x 3.5mm jack for audio output
MIPI CSI: 1x 4-lane MIPI CSI input
MIPI CSI: 1x 2-lane MIPI CSI input
USB 3.0 HOST: 4x
USB 2.0 Device (Type-C): 1x
Ethernet: 1x 10/100/1000 Mbps RJ45 port
Wireless: Wi-Fi 5 / Bluetooth 5.2
Header: 40-pin GPIO
- Up to 3x UART
- 2x I2C
- 1x SPI
- 1x I2S
- 1x ADC
- 8x GPIO
- 1x C910 debug port

Architecture of the board

Reset: 1x key
Recovery: 1x key
Boot Mode Switch: 1x key for eMMC / SPI flash boot mode
Power LED: 1x
User LED: 1x
Fan: 2-pin for fan
Size: 85×56 mm
Power Supply: 5V / 4A DC in (Type-C); PoE with add-on board connected through 4-pin header

Support Available

Note that the Meles SBC runs on Meles RevyOS, a Debian-based operating system with a lightweight LXDE desktop environment. So, this setup ensures efficient performance and a user-friendly interface. For ease of use, the company provides a precompiled binary file, allowing users to get started quickly. Additionally, for those who prefer a more hands-on approach or need customization, the company has made detailed instructions available on GitHub to build the operating system image from the source. MilkV’s RISC-V-based SBC is available in Mainland China via TaoBao and at the rest of the world through the Arace store. (currently out of stock)

Raspberry Pi M.2 HAT+ with a Hailo AI acceleration module for use with Raspberry Pi 5

Posted on 2 July, 20242 July, 2024 by Saumitra Jagdale

The present-day prevalence of AI vision applications has urged even Raspberry Pi to create its own AI development kit. The company recently announced the launch of its new Raspberry Pi AI kit, in collaboration with Hailo.

Each Raspberry Pi AI AI Kit comes with a pre-installed AI module, ribbon cable, GPIO stacking header, and mounting hardware. The kit includes the Raspberry Pi M.2 HAT+ which aids the connection of a Hailo-8L AI accelerator module to the Raspberry Pi 5. Based on an Arm Cortex-A76 CPU, the Raspberry Pi 5 has already been established for vision AI applications owing to the VideoCore VII GPU, supporting OpenGL ES 3.1, and Vulkan 1.2. Whereas, the Hailo NPU with a performance of up to 13 TOPS has some advanced applications.

Technical Specifications of Raspberry Pi AI Kit

Support SBC – Raspberry Pi 5
M.2 HAT+ with PCIe Gen2 x1 interfaces, M.2 Key M support,
Hailo-8L AI accelerator with
Up to 13 TOPS of performance
M.2 2242 form factor
Typical power consumption – 1.5W
Thermal pad pre-fitted between the module and the M.2 HAT+
Mounting hardware kit
16mm stacking GPIO header
PCIe FPC cable

The kit includes the Hailo-8L AI entry-level accelerator, distinct from the Hailo-8 AI accelerator, which offers up to 26 TOPS of performance. Despite being entry-level, the Hailo-8L effectively supports AI frameworks like TensorFlow, TensorFlow Lite, Keras, PyTorch, and ONNX for vision applications. Importantly, the AI accelerator significantly reduces the power requirements of the dev board designed for vision tasks. Compared to the CPU or GPU on a Raspberry Pi 5, the Hailo-8L provides lower power consumption and much faster AI processing, as demonstrated in the pose estimation demo in the embedded video.

Provision for Support

The Raspberry Pi-Hailo collaboration is not just on the hardware end it seems. In addition to setting up an online community, they have eased the integration of camera systems into an AI framework through the rpicam-apps suite of camera applications and Hailo Tappas post-processing libraries.

Example of object detection possible using the AI kit

The documentation by Raspberry Pi indicates demos for some basic vision AI applications like object detection, image segmentation, and instance estimation which can be quite useful and easy to implement.

Hailo has also made some demos available on their GitHub. Check out Hailo Official Website and Hailo Community Forum for more information.

Argon ONE V3 M.2 NVMe Case Improves Raspberry Pi 5

Posted on 2 July, 20242 July, 2024 by Saumitra Jagdale

MPUs fulfill the ever-growing demands and needs of IoT and embedded applications. However, these MPUs are built for specific uses, and they do not exhibit expansion for future scopes. Several extensions are employed to meet these needs. One of these extensions is launched by Argon40, a case for the Raspberry Pi 5– the Argon ONE V3 M.2 NVME PCIe Case.

The Raspberry Pi 5 has a traditional card slot on the chip, which supports memory up to the card capacity. The memory can be increased for data processing or any data-related projects using the Argon ONE case, which offers NVMe SSD expansion board support. It increases its speed and storage as compared to the SD card on the R-Pi board, resulting in increased functionality. Also, the boot-up speed of R-Pi is higher.

The case of Argon ONE is made from aluminum. Unlike other plastic cases, it offers durability for the R-Pi. It showcases an in-built heatsink for the NVMe drive to manage R-Pi temperature effectively. The GPIO pins of the R-Pi can be accessed from the outside using a magnetic flap on the backside of the case, improving the flexibility and durability of the board. The data transfer is greatly improved by the inclusion of an FPC impedance-controlled cable.

The Argon ONE case offers better communication and power management with the Raspberry Pi 5 through the Raspberry Pi’s RP2040 chip. This chip includes features like controlling fan speed and power management state, allowing the users to choose the operations as they see fit.

The PWM programmable fan (30 mm) is repositioned inside the case to improve passive cooling and reduce noise. Argon provides a script to control the fan speed to maintain an optimal temperature for the R-Pi, depending on its tasks.

Some Specs of Argon ONE V3 M.2 NVMe Case

The Interface of the development board is significantly improved because of the number of ports securely placed at the back of the Argon ONE PCIe case. It showcases;

2x Full-size HDMI; they can be connected to different monitors simultaneously.
4x USB ports (2x USB 2.0, 2x USB 3.0).
1x Gigabit Ethernet port.
1x USB-C (for power).
1x 3.5mm audio jack.

The case has a built-in IR receiver, allowing the user to remotely control it. Argon ONE V3 is easily usable with the Argon IR remote. The assembly of the Argon ONE V3 case is explained in its user manual in detail.

The Argon ONE V3 PCIe case improves the performance and functionality of the R-Pi 5 board by offering increased memory and interface options. The passive and active cooling of the board is improved by implementing the PWM programmable fan in the correct position. The built-in IR receiver allows remote control of the device. The board offers durability to the R-Pi as well as protecting it from dust.

You can refer to the product page to learn more about the Argon ONE V3 M.2 NVME PCIE Case.

The Pi5 Connector supports Raspberry Pi5 and Pi4B

Posted on 2 July, 20242 July, 2024 by Saumitra Jagdale

Transmission of audio and visual signals without distortion plays a significant role in communication and electronic systems. While efficient devices are required for such transmission, the interfacing of the development board is not achieved easily. For this purpose, connector adapter boards are being used, and the “new” Pi 5 adapter board, which is compatible with Raspberry Pi 5 / 4B, converts the video and audio signal from micro HDMI to HDMI without significant loss of quality.

Key Features:

Compatible with both the latest version of Raspberry Pi-5 as well as Raspberry Pi-4B.
Requires a 2x power supply method in operation.
Via USB type-C pin.
Screw terminal configuration pin.
Ultimately gives dual 4k resolution outputs.
Performs as µ-HDMI to HDMI multifunctional adapter
Conventionally connects the HDMI ports : Converts Micro HDMI Interfaces To HDMI Female Ports For Easier Connection.

The PI-5 connector adapter supports both the versions of Raspberry-Pi-5 as well as Pi-4B. Both the microprocessors contain the same pin configuration and circuit architecture which makes the connector board compatible with each developing module at specific working operations. This essentially makes it easier to interface between devices with different HDMI port sizes. It gives a 4k HD resolution display at the output end. The adapter enables a conversion of micro HDMI to HDMI. This little adapter turns the Raspberry Pi’s mini HDMI output into a conventional HDMI connector, enabling smooth interaction with HDMI cables often used in home entertainment installations and presentations. The Raspberry Pi 5 can display clear and vibrant content on digital signs through its HDMI connection, which supports high-definition video output. It can connect easily to many types of displays commonly used in digital signage setups because HDMI is widely compatible across different display devices.

Raspberry Pi devices are known for their flexibility in handling content. They can run various operating systems like Ubuntu, Raspberry Pi OS (formerly Raspbian), and specialized software designed for digital signs. This allows users to schedule displays, remotely edit and manage content, and customize signs according to their requirements.

Specifications of the Pi-5 Connector:

The base board contains a 2x HDMI interfacing pins
A type-C for power supply pin
Two USB type-B dual 4k output pins
A single type –C for output interfacing
5V screw terminal port
Outline dimensions: 85 mm x 33.5 mm
A 3PIN cable 100mm and a 3PIN squid cable 100mm

Overall, the micro HDMI to HDMI adapter for Raspberry Pi offers a simple yet effective solution for extending the display capabilities of your Raspberry Pi, facilitating seamless connectivity with HDMI-equipped devices for enhanced productivity, entertainment, and creativity. You can refer to their page for more information about the product and purchase-related queries.

Ochin CM4V2: Tiny Carrier Board V2 for Raspberry Pi CM4

Posted on 2 July, 20242 July, 2024 by Saumitra Jagdale

The industrial setting often calls for advanced performance while minimizing the circuit size. As Ochin V1 is reaching its end of life (EOL), Ochin v2 is a new mini carrier board for Raspberry with numerous advanced features over its preceding version.

The Ochin CM4v2 is a compact Raspberry Pi Compute Module carrier board, boasting a Quad-core Cortex-A72 CPU and GPU. It has ample RAM capacity, CODECs, and Graphic Accelerators, tailored for various uses including robotics, home automation, and IoT endeavors.

What’s New?

Compared to its older version, the latest Ochin V2 contains a micro HDMI interface for video output. It has 2x general-purpose LEDs and an IN219 current sensor. UART 3/5 GHS connector (both interfaces) replaced by USB ext. GHS connector with USB 2.0, I2C, nRPIBoot, VOTG, 3.3V, and GND. 100Base-T Ethernet is available for Ethernet connectivity. Moreover, a current limiter bypass has also been added to the Ochin V2 baseboard.

Note that all of the primary features from version 1 are kept in the new edition, along with additional changes that make it more adaptable and fascinating for a wider range of applications. One example would be the micro HDMI connector, which allows it to be used with a monitor, making it useful in headless devices and user-side programs that provide more connectivity options. The transformer-less Ethernet interface is useful too. The USB-C port used is the flash eMMC (Embedded Multi Media Card). The module contains 2x CSI camera connectors and 4x USBs.

Ochin CM4v2 features:

The upgraded module includes Broadcom BCM2711 and a Quad-core Cortex-A72 (ARM v8) 64-bit System on Chip (SoC) operating at 1.5GHz for processing.
It supports high resolution of H.265 (HEVC) (up to 4Kp60 decode), H.264 (up to 1080p60 decode, 1080p30 encode), and OpenGL ES 3.0 graphics.
Contains a set of rich I/O interfaces.
Supports a 4-lane and a 2-lane MIPI CSI connector for the camera interface.
Includes 6-pin SPI GHS connector or soldering pads for 10/100M Ethernet.
4-pin I2C GHS connector.
USB ext GHS connector with USB 2.0, I2C, nRPIBoot, VOTG, 3.3V, and GND
14-pin expansion header with 2x UART, composite video out, Vin-/Vin+, GND.
Supports Raspberry Pi Compute Module (CM4) with faster eMMC flash having up to 100 MB/s transfer rate, 4x faster than CM3+.
It has the same size as the CM4 module (50mm × 40mm × 4.7mm).

Ochin CM4v2 Specifications:

Processor: Broadcom BCM2711, a Quad-core Cortex-A72 (ARM v8) 64-bit System on Chip (SoC) @ 1.5GHz.

Resolution Support
- H.265 (HEVC) (up to 4Kp60 decode), H.264 (up to 1080p60 decode, 1080p30 encode)
- OpenGL (Open Graphics Library) ES 3.0 graphics
Diverse Interfaces
- 1 USART
- 3 UARTs
- 1 I2C port
- 1 SPI port,
- analogue video output, 1
- high-speed USB 2.0 port
- MIPI CSI-2 which supports both 2-lane and 4-lane camera ports.
Circuit size
- Length(mm):50
- Width (mm):40

The Ochin CM4v2 is a significant upgrade from its predecessor, offering improved performance with a Quad-core Cortex-A72 CPU, advanced graphics capabilities, and I/O interfaces. New features like the micro HDMI, USB ext GHS connector, and 100Base-T Ethernet improve its versatility. It retains the compact size of the original, making it ideal for diverse applications in robotics, home automation, and IoT projects. The CM4v2 combines power, flexibility, and compactness, making it a good choice for industrial and embedded systems. For more info about Ochin CM4v2 visit the products page.

Optimized Octa-core Cortex-A55 Platform for Advanced Commercial Display Solutions

Posted on 2 July, 20242 July, 2024 by mixos

MYIR has launched the MYD-LT527-SX Commercial Display Board, powered by the Allwinner T527 processor. This processor features an Octa-core ARM Cortex-A55 CPU clocked at up to 1.8GHz and a G57 MC1 GPU, and is capable of supporting 4K@30fps H.265 video decoding and 4K@25fps H.264 video encoding.

The MYD-LT527-SX is centered around the MYC-LT527 System-On-Module (SOM), which incorporates 2GB of LPDDR4 memory and 16GB of eMMC storage. Pre-configured to run the Android Operating System, it offers an extensive operating temperature range, spanning from -20 to 70 degrees Celsius.

The MYD-LT527-SXexcels in multimedia performance. It provides a comprehensive array of video output interfaces, including HDMI, eDP, MIPI-DSI, and a 1x Dual-LVDS, along with 2x MIPI-CSI video input interfaces, enabling seamless multi-screen displays. Furthermore, it features a diverse range of advanced connectivity options, including dual Gigabit Ethernet, one USB 3.0 and five USB 2.0 ports, two CAN interfaces, a Mini PCIe interface for USB-based 4G/5G modules, a Micro SD card slot, dual RS232 and RS485 interfaces, and an onboard WiFi/Bluetooth module. These features significantly enhance its network and data transfer capabilities.

With its robust performance and versatile interfaces, the MYD-LT527-SXis an outstanding choice for applications such as high-performance industrial robots, energy and power systems, medical devices, display control integrated machines, edge intelligent boxes, vehicle terminals, and other embedded devices that require advanced multimedia functionalities.

The MYD-LT527-SX is delivered with a Quick Start Guide and one power plug. MYIR also offers the MY-CAM003M MIPI Camera Module as an add-on option for the board.

The MYD-LT527-SX is an advanced commercial display solution that caters to your system integration requirements, offering robust performance and functionality, all packed into a sleek and user-friendly design at an affordable price of $95 per unit. Whether you’re using it for high-resolution video playback, data visualization, or any other graphics-intensive task, the MYD-LT527-SX delivers impeccable results.

More information about the MYD-LT527-SX Commercial Display Board can be found at: https://www.myirtech.com/list.asp?id=766

AAEON’s PICO-RAP4 Harnesses 13th Gen Intel Core Processing on the Tiny 2.5” Pico-ITX Form Factor

Posted on 26 June, 2024 by mixos

Power-efficiency, real-time data processing, and synchronized interfaces make the PICO-RAP4 a small board for big projects.

AAEON, an industry-leading provider of embedded solutions, has announced the latest addition to its line of PICO-ITX boards: the PICO-RAP4. Equipped to host CPUs from the latest 13th Generation Intel® Core™ processor platform, the PICO-RAP4 is armed with a variety of features catering to advanced computing applications such as service robots and healthcare imaging devices.

With a CPU support list ranging from Intel® Processor U300E all the way to the 6 P-core, 8 E-core, 20-thread Intel® Core™ i7 1370PE, the PICO-RAP4 offers a hybrid CPU architecture for efficient, high-speed processing for the demanding tasks associated with its target uses. The board also provides faster data transfer rates and improved bandwidth in a more flexible configuration through 32GB of SODIMM-based DDR5 (up to 5200 MT/s).

The platform supports Intel® Iris® Xe Graphics, which pairs well with the PICO-RAP4’s HDMI and co-layed eDP and LVDS display interfaces, allowing for two simultaneous displays. Unlike its predecessors, the board exclusively supports Intel® Ethernet interfaces, with one RJ-45 port for Intel® Ethernet Controller I226-V at 2.5GbE and a second supporting Intel® Ethernet Connection I219-LM at Gigabit Ethernet speed. The board’s remaining physical ports are populated by dual USB 3.2 Gen 2 Type-A ports.

Key Specifications

13th Gen Intel® Core™ i7/i5/i3 Processor SoC
DDR5 SODIMM (32GB)
2.5GbE x 1, 1GbE x 1
HDMI 1.4 + eDP 1.4/LVDS
Half Size mPCIe/mSATA x 1, M.2 2280 M-Key x 1
USB 3.2 Gen 2 x 2, USB 2.0 x 2, RS-232/422/485 x 2
TPM 2.0, SATA, SMBus/I2C, GPIO 8-bit
MIPI-CSI support
TCC, TSN, and timed-GPIO support

For internal connectors, the PICO-RAP4 offers a wider variety of functions, including two serial COM connectors for RS-232/422/485, an 8-bit GPIO, SMBus (co-lay I2C), and an optional audio header. TCC, TSN, and timed-GPIO support provide an added bonus by offering reliable communication channels with which users can assimilate sensors, actuators, and control systems. Its powerful processor selection and DDR5 system memory augment the utility of its communication protocol selection, with the capacity to process large datasets for SLAM, object recognition, and path planning when developing service robot solutions.

With regard to expansion, the PICO-RAP4 features an M.2 2280 M-Key for a PCIe 4.0 [x4] interface, along with additional storage through a Mini PCIe/mSATA slot. Additionally, a 61-pin FPC connector offers two 4-lane MIPI CSI interfaces, granting users with an alternative option for high-quality camera installation, on top of standard USB and ethernet camera support.

The board is compatible with both Windows and Ubuntu operating systems. Depending on customer requirements, AAEON also provides a choice between a heat spreader or an active fan cooler.

The product is now available on the eShop, with pricing as follows:

Intel® Core™ i7 1370PE SKU: US$1,085.00
Intel® Core™ i5 1340PE SKU: US$700.00
Intel® Core™ i3 1320PE SKU: US$590.00
Intel® Processor U300E SKU: US$374.00

The PICO-RAP4 is now in mass production and available for order via both the AAEON eShop and through its website contact form. For more information and detailed specifications, please visit the PICO-RAP4 product page.