Makerdiary nRF9151 Connect Kit board offers LTE-M, NB-IoT, DECT NR+, and GPS connectivity, on-board battery charger

Makerdiary nRF9151 Connect Kit

Makerdiary nRF9151 Connect Kit is a Nordic Semi nRF9151-based board with LTE-M, NB-IoT, GNSS, and DECT NR+ connectivity, an on-board battery charger, and a built-in nRF52820 “interface” MCU for debugging and programming. The board features a USB-C port for power and programming, two 20-pin headers for expansion with through and castellated holes, a nano SIM card slot and a footprint for an eSIM, user and reset buttons, and a few user LEDs. Makerdiary nRF9151 Connect Kit specifications: SiP – Nordic Semi nRF9151 CPU – Arm Cortex-M33 @ 64 MHz Memory – 256 KB SRAM Storage – 1 MB flash Wireless – LTE-M and NB-IoT modem with GNSS 700-2200 MHz LTE bands: B1-B5, B8, B12, B13, B17-B20, B25, B26, B28, B65, B66, B85 Power Class 5 20 dBm Power Class 3 23 dBm 1.9GHz NR+ band support Certified for global operation Security – Arm TrustZone + Arm CryptoCell Interface MCU – […]

Waveshare CM5-NANO-B is a compact Raspberry Pi CM5 carrier board with the same dimensions as the Compute Module 5

Waveshare CM5 NANO B Raspberry Pi CM5 carrier bord with CM5

Waveshare has just released the CM5-NANO-B, a compact Raspberry Pi CM5 carrier board, with the same dimensions as the Compute Module 5 and multiple peripheral interfaces making it suitable for industrial automation, IoT, embedded computing, AI development, and other space-constrained applications. Key features include a Gigabit Ethernet RJ45 port, an unpopulated 40-pin Raspberry Pi GPIO header, a USB 3.2 Gen1 Type-A port, dual MIPI 4-lane interfaces, a mini HDMI port supporting 4K output, a USB audio 3.5mm jack, a microSD card slot, and a 16-pin PCIe Gen2/3 x1 connector. Power is supplied via a USB-C port (5V/5A), and additional features include an RTC battery header, a 4-pin PWM fan header, a dual-color LED indicator, and user-configurable buttons. Waveshare CM5-NANO-B specifications: Compatibility – Raspberry Pi Compute Module 5 (CM5) Storage – MicroSD card slot (for Raspberry Pi CM5 Lite) Display Mini HDMI output up to 4K resolution Up to 2x MIPI […]

10-cent WCH CH570/CH572 RISC-V MCU features 2.4GHz wireless, Bluetooth LE 5.0, USB 2.0

CH572 development board

Patrick Yang, CTO at WCH, has recently unveiled the CH570 RISC-V SoC with 2.4GHz wireless and USB 2.0 (host & device) as an upgrade to the popular CH32V003 general-purpose RISC-V MCU with more features at the same low price (10 cents). CH570 also comes with 12KB SRAM and 256KB flash (vs 2KB SRAM and 16KB flash for the CH32V003), offers up to twelve GPIO,  six PWM, I2C, UART, SPI, and a 20-channel key detection module. There’s also the CH572 with the same features, except it also supports Bluetooth LE 5.0. As a side note, I wrote about the CH572 RISC-V MCU with BLE in 2019, but I guess it was scraped likely because it had OTP instead of flash…, and the new CH572 (2025) is different. WCH CH570/CH572 specifications:  CPU core QingKe 32-bit RISC-V3C core @ up to 100 MHz (RV32IMBC instruction set and custom instructions) Low-power 3-stage pipeline High-speed […]

UNIHIKER K10 low-cost TinyML education platform supports image detection and voice recognition

UNIHIKER K10

UNIHIKER K10 is a low-cost STEM education platform for TinyML applications that leverages the ESP32-S3 wireless microcontroller with vector extensions for workloads such as image detection or voice recognition. The UNIHIKER K10 also features a built-in 2.8-inch color display, a camera, a speaker, a 2-microphone array, a few sensors, a microSD card, and a BBC Micro:bit-like edge connector for power signals and GPIOs. It’s a cost-optimized version of its Linux-based big brother – the UNIHIKER M10 – first unveiled in 2022. Arnon also reviewed the UNIHIKER in 2023, showing how to configure it, use the SIoT platform with MQTT message, and program it with Jupyter Notebook, Python, or Visual Studio Code. Let’s have a closer look at the new ESP32-S3 variant. UNIHIKER K10 specifications: Core module – ESP32-S3-WROOM-1 MCU – ESP32-S3N16R8 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 8MB PSRAM, 16MB flash Wireless – WiFi 4 and […]

Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support

Renesas RZ V2N MPU

Renesas has recently introduced the RZ/V2N low-power Arm Cortex-A55/M33 microprocessor designed for machine learning (ML) and computer vision applications. It features the company’s DRP-AI3 coprocessor, delivering up to 15 TOPS of INT8 “pruned” compute performance at 10 TOPS/W efficiency, making it a lower-power alternative to the RZ/V2H. Built for mid-range AI workloads, it includes four Arm Cortex-A55 cores (1.8GHz), a Cortex-M33 sub-CPU (200MHz), an optional 4K image signal processor, H.264/H.265 hardware codecs, an optional Mali-G31 GPU, and a dual-channel four-lane MIPI CSI-2 interface. The chip is around 38% smaller than the RZ/V2H MPU and operates without active cooling. The RZ/V2N is suitable for applications like endpoint vision AI, robotics, and industrial automation. Renesas RZ/V2N specifications CPU Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, […]

Variscite VAR-SOM-AM62P SoM features Texas Instruments Sitara AM62P5 SoC for cost-effective multimedia applications

VAR SOM AM62P development kit

Variscite VAR-SOM-AM62P is a system-on-module powered by Texas Instruments Sitara AM62P5 quad-core Cortex-A53 + Cortex-R5F SoC coupled with up to 8GB LPDDR4 RAM and 128GB eMMC flash, and designed for cost-effective multimedia applications. The SO-DIMM module offers high speed interfaces such as gigabit Ethernet and USB 2.0, a certified WiFi 6 and Bluetooth 5.4 module, and operating in the -40 to 85°C industrial range. As a VAR-SOM module, it’s pin-to-pin compatible with other modules from the family such as the VAR-SOM-6UL or VAR-SOM-IMX93. Variscite VAR-SOM-AM62P specifications: SoC – Texas Instruments Sitara AM62P5 CPU 4x Arm Cortex-A53 @ 1.4 GHz up to 12,880 DMIPS Arm Cortex-R5F real-time core up to @ 800 MHz GPU –  3D GPU with OpenGL ES 3.2 & Vulkan1.2 VPU – H.264/H.265 Video Encoder/Decoder No PRU System Memory – 1GB to 8GB LPDDR4 Storage – 8GB to 128GB eMMC flash Networking Gigabit Ethernet PHY (Analog Devices ADIN1300) […]

Microchip PIC32A is a 32-bit MCU family with high-performance analog peripherals supporting up to 40 Msps

PIC32A evaluation kit

Microchip Technology PIC32A is a new family of 32-bit microcontrollers clocked at up to 200 MHz with high-speed analog peripherals that include up to 40 Msps 12-bit ADCs, high-speed 5 ns comparators and 100 MHz operational amplifiers for smart edge sensing. The PIC32A microcontrollers also feature up to 16KB RAM with ECC, up to 128KB flash, various I/O, and security and safety features that make them suitable for general-purpose applications across automotive, industrial, consumer, Artificial Intelligence (AI), Machine Learning (ML), and medical markets.   Microchip PIC32A specifications: MCU core – 32-bit CPU @ up to 200 MHz with 64-bit FPU, instructions optimized for speed and program code size Memory –  Up to 16KB RAM with ECC Storage – Up to 128KB flash with 64x 128-bit OTP area Peripherals 4x PWM generators with up to 2.5ns resolution 3x 4-wire SPI 2x I2C 3x UART; automated UART handling support for LIN 2.2, Digital […]

Geehy G32R501 dual-core Cortex-M52 industrial AI MCU targets industrial and automotive applications

Geehy G32R501 Arm Cortex M52 Real Time MCU

Geehy Semiconductor has introduced the G32R501 Cortex-M52 industrial AI MCU, the industry’s first real-time MCU based on a dual-core Arm Cortex-M52 architecture. Designed for industrial automation, commercial power supplies, and electric vehicles. Back in 2023, we talked about the features and specifications of the Arm Cortex-M52 core, but now Geehy has introduced the G32R501 MCU with AI and DSP capabilities designed for low-cost IoT applications. This MCU features single and double-precision FPUs, an Arm Helium DSP extension, and Geehy’s Zidian Math Instruction Extension for AI/ML tasks and signal processing. It includes 640 KB Flash, 128 KB SRAM, TCM (Tightly Coupled Memory), and a six-channel DMA module for efficient data handling. The MCU also features three 12-bit ADCs (3.45 MSPS), seven 12-bit DAC comparators, and Σ-Δ filter modules to improve signal accuracy, making it ideal for motor control and real-time monitoring. With 16 high-resolution PWM channels (150-ps resolution), quadrature encoder modules, […]

Youyeetoo X1 x86 SBC