Azulle’s OEM features for enhanced operations (Sponsored)

Azulle OEM mini PC

In the bustling world of tech innovation, where the quest for efficiency meets the desire for personalized solutions, Azulle emerges as a beacon of ingenuity. Azulle isn’t just a brand, but a manufacturer of hardware solutions for businesses. Picture a company aspiring to redefine its workspace, craving devices that seamlessly integrate into its established ecosystem while proudly bearing its distinctive insignia. This company embodies the ideal partner for Azulle manufacturing capabilities. With their unparalleled OEM (original equipment manufacturer) services, Azulle empowers organizations to craft mini PCs that aren’t just tools but extensions of their vision. Customization Features for Your Mini PC Azulle offers mini PCs with a wide range of configurations, allowing businesses to tailor the system to their specific needs. As a business, when buying from Azulle, you get the chance to choose the operating system, RAM, and storage for your hardware set-up. In addition, Azulle extends the flexibility […]

LattePanda Mu is an x86 Compute Module based on Intel Processor N100 CPU

LattePanda Mu x86 Compute Module N100

The LattePanda Mu is a compute module/system-on-module based on the popular Intel Processor N100 quad-core Alder Lake-N processor that can run Windows or Linux and aims to provide a more powerful solution than the Raspberry Pi 5 and upcoming Raspberry Pi CM5 (Compute Module 5). The LattePanda Mu does not follow any SoM standard and instead comes in a custom 69.6 x 60mm form factor using a 260-pin SO-DIMM edge connector. The module is equipped with 8GB RAM and 64GB eMMC flash by default, and the interfaces exposed through the edge connector (PCIe, USB, Ethernet, HDMI…) make it suitable for a range of applications such as IoT, robotics, digital signage, and edge computing through custom carrier boards. LattePanda Mu specifications: SoC – Intel Processor N100 quad-core Alder Lake-N processor @ up to 3.4 GHz (Turbo) with 6MB cache, 24EU Intel HD graphics @ 750 MHz; TDP: 6W System Memory – […]

Khadas Edge2 Arm mini PC

SparkFun Thing Plus – RA6M5 board supports Bluetooth 5.1 LE through Renesas DA14531MOD module

Sparkfun Thing Plus - RA6M5

SparkFun Thing Plus – RA6M5 is a small MCU board based on a 200 MHz Renesas RA6M5 Cortex-M33 microcontroller and a Renesas DA14531MOD Bluetooth 5.1 LE module that follows Adafruit Feather/Sparkfun Thing Plus form factor. The module can transmit data over BLE with just 4mA (at 3.3V) power consumption and the company claims the board to be powered by a coin-cell battery. A LiPo battery can also be connected to the board through a 2-pin JST battery connector, and the Things Plus – RA6M5 board also features a single-cell charger and LiPo fuel gauge. Sparkfun Thing Plus – RA6M5 specifications: Microcontroller – Renesas R7FA6M5AH3CFP Core – Arm Cortex-M33 microcontroller @ up to 200 MHz Memory – 512KB SRAM Storage – 2MB Flash Security – Arm TrustZone, and Secure Crypto Engine 9 Wireless – Renesas DA14531MOD module for Bluetooth 5.1 LE connectivity with support for CodeLess AT command Datapump Radio Transmit […]

Renesas RA0 Cortex-M23 MCU series target power and cost-sensitive applications

Fast Prototyping Board for RA0E1

Renesas has announced the new low-power RA0 microcontroller series based on the power-efficient Arm Cortex-M23 core and the entry-level RA0E1 Group in the series. According to Renesas, the RA0 microcontrollers offer the “industry’s lowest overall power consumption for general-purpose 32-bit MCUs.” With a current consumption of 84.3 μA/MHz in active mode and only 0.82 mA in sleep mode, these microcontrollers are built to provide ultra-low power consumption. They also offer a Software Standby mode where the CPU, peripheral functions, and internal oscillators cease to operate. This mode reduces power consumption further by 99% down to 0.20 µA. They also come with a high-precision, High-speed On-Chip Oscillator (HOCO) for fast wake-up. The Cortex-M23 core is based on the Armv8-M instruction set and offers a maximum clock frequency of 32 MHz, with up to 64KB of code flash memory and 12KB SRAM  for storing application code and data. This feature set makes […]

Octavo OSD32MP2 System-in-Package (SiP) packs an STM32MP25 SoC, DDR4, EEPROM, and passive components into a single chip

Octava Systems OSD32MP2 SiP

Octavo Systems OSD32MP2 is a family of two System-in-Package (SiP) modules, comprised of the OSD32MP2 and OSD32MP2-PM, based on the STMicro STM32MP25 Arm Cortex-A35/M33 AI processor, DDR4 memory, and various components to reduce the complexity, size, and total cost of ownership of solutions based on the STM32MP2 chips. The OSD32MP2 is a larger, yet still compact, 21x21mm package with the STM32MP25, DDR4, EEPROM, oscillators, PMIC, passive components, and an optional RTC, while the OSD32MP2-PM is even smaller at 14x9mm and combines the STM32MP25, DDR4, and passive components in a single chip. OSD32MP2 specifications: SoC – STMicro STM32MP25 CPU – Up to 2x 64-bit Arm Cortex-A35 @ 1.5 GHz MCU 1x Cortex-M33 @ 400 MHz with FPU/MPU; 1x Cortex M0+ @ 200 MHz in SmartRun domain GPU – VeriSilicon 3D GPU @ 900 MHz with OpenGL ES 3.2 and Vulkan 1.2 APIs support VPU – 1080p60 H.264, VP8 video decoder/encoder Neural […]

Radxa NIO 12L – A low-profile MediaTek Genio 1200 SBC with Ubuntu certification for at least 5 years of updates

Radxa NIO 12L

Radxa NIO 12L is a low-profile single board computer (SBC) based on the MediaTek Genio 1200 octa-core Cortex-A78/A55 SoC with a 4 TOPS NPU that got Ubuntu certification with at least 5 years of software update, and up to 10 years for extra payment. The board comes with up to 16GB RAM, 512GB UFS storage, HDMI, USB-C (DisplayPort), and MIPI DSI video interfaces, a 4K-capable HDMI input port, two MIPI CSI camera interfaces, gigabit Ethernet and WiFi 6 connectivity, five USB ports, and a 40-pin GPIO header for expansion. Radxa NIO 12L specifications: SoC – Mediatek Genio 1200 (MT8395) CPU Quad-core Arm Cortex-A78 @ up to 2.2 to 2.4GHz Quad-core Arm Cortex-A55 @ up to 2.0GHz GPU Arm Mali-G57 MC5 GPU with support for OpenGL ES1.1, ES2.0, and ES3.2, OpenCL 1.1, 1.2 and 2.2, Vulkan 1.1 and 1.2 2D image acceleration module APU – Dual‑core AI Processor Unit (APU) Cadence […]

Intel Arc Graphics Technology

The New IoT Device Security Specification 1.0 unifies various standards into one

Connectivity Standards Alliance Launches the IoT Device Security Specification 1.0

The Connectivity Standards Alliance has recently introduced its IoT Device Security Specification 1.0, a way to defragment many security standards into one. This common scheme and certification standard will ensure that devices meet local requirements in each country. With this approach, a single test from the alliance ensures that the product can be sold globally without any compliance issues. IoT Device Security Specification 1.0 at a glance: Unified Security Standard – Integrates the major cybersecurity baselines from the United States, Singapore, and Europe into one comprehensive framework. Product Security Verified Mark – A new certification mark that indicates compliance with the IoT Device Security Specification, designed to enhance consumer trust and product marketability. No Hardcoded Default Passwords – Ensures all IoT devices utilize unique authentication credentials out of the box, improving initial security. Unique Identity for Each Device – Assigns a distinct identity to every device, crucial for traceability and secure […]

Raspberry Pi at Embedded World 2024: AI camera, M.2 HAT+ M Key board, and 15.6-inch monitor

Raspberry Pi AI Camera Sony IMX500

While Raspberry Pi has not officially announced anything new for Embedded World 2024 so far, the company is currently showcasing some new products there including an AI camera with a Raspberry Pi Zero 2 W and a Sony IMX500 AI sensor, the long-awaited M.2 HAT+ M Key board, and a 15.6-inch monitor. Raspberry Pi AI camera Raspberry Pi AI Camera kit content and basic specs: SBC – Raspberry Pi Zero 2 W with Broadcom BCM2710A1 quad-core Arm Cortex-A53 @ 1GHz (overclockable to 1.2 GHz), 512MB LPDDR2 AI Camera Sony IMX500 intelligent vision sensor 76-degree field of view Manually adjustable focus 20cm cables The kit comes preloaded with MobileNet machine vision model but users can also import custom TensorFlow models. This new kit is not really a surprise as we mentioned Sony and Raspberry Pi worked on exactly this when we covered the Sony IMX500 sensor. I got the information from […]

Khadas VIM4 SBC