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March 18, 2025March 17, 2025 by Debashis Das - 4 Comments

Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

reComputer J3010B Jetson Orin Nano Edge AI Computer

Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]

March 17, 2025March 23, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

MicroPython-programmable OpenMV N6 and AE3 AI camera boards run on battery for years (Crowdfunding)

OpenMV has launched two new edge AI camera boards programmable with MicroPython: the OpenMV AE3 powered by an Alif Ensemble E3 dual Cortex-M55, dual Ethos-U55 micro NPU SoC, and the larger OpenMV N6 board based on an STMicro STM32N6 Cortex-M55 microcontroller with a 1 GHz Neural-ART AI/ML accelerator. Both can run machine vision workloads for several years on a single battery charge. The OpenMV team has made several MCU-based camera boards and corresponding OpenMV firmware for computer vision, and we first noticed the company when they launched the STM32F427-based OpenMV Cam back in 2015. A lot of progress has been made over the years in terms of hardware, firmware, and software, but the inclusion of AI accelerators inside microcontrollers provides a leap in performance, and the new OpenMV N6 and AE3 are more than 100x faster than previous OpenMV Cams for AI workloads. For example, users can now run object […]

March 17, 2025March 17, 2025 by Debashis Das - No Comments

IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMD Technologies has recently introduced the IMDT V2N SoM based on the newly launched Renesas RZ/V2N low-power AI MPU and its SBC carrier board designed for robotics, smart cities, industrial automation, and IoT applications. The SoM ships with 8GB RAM and 32GB eMMC flash, and supports various interfaces through B2B connectors including two 4-lane MIPI CSI-2 interfaces, a MIPI DSI display interface, and more. The SBC supports MIPI DSI or HDMI video output, dual GbE, WiFi 4 and Bluetooth 5.2, as well as expansion capabilities through M.2 sockets. IMDT V2N SBC specifications: IMDT V2N SoM SoC – Renesas RZ/V2N 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, max frequency 1.26 GHz) Neon, FPU, MMU, and cryptographic extension (for security models) Armv8-A architecture System Manager […]

March 14, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

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

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 […]

March 13, 2025March 25, 2025 by Debashis Das - 1 Comment

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

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, […]

March 13, 2025March 14, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

Thundercomm TurboX C6690 SoM runs Android 15 on Qualcomm DragonWing QCS6690 SoC for terminal equipment

Unveiled at Embedded World 2025, Thundercomm’s TurboX C6690 is a SoM (System-on-Module) powered by a 4nm Qualcomm Dragonwing QCS6690 octa-core SoC, and designed for Android 15-based terminal equipment such as industrial handheld devices, industrial tablets, edge computing, and smart retail applications. The LGA system-on-module features a multi-chip package that combines 8GB LPDDR4x memory with 256GB UFS storage, and offers MIPI and DP (USB) display interfaces, four MIPI CSI camera interfaces, a USB 3.1 interface, a PCIe Gen2 interface, and various low-speed I/Os such GPIO, I2C, UART, and SPI. Thundercomm TurboX C6690 SoM specifications: SoC – Qualcomm Dragonwing QCS6690 CPU – Octa-core Qualcomm Kryo CPU 7-series (1x Kryo Prime core @ 2.9GHz, 3x Kryo Gold @ 2.7GHz, 4x Kryo Silver @ 2.0GHz) GPU – Qualcomm Adreno GPU 7-series DSP – Qualcomm Hexagon DSP with HVX and HMX ISP – Qualcomm Spectra ISP 665 image processing VPU Video Encode – Up to […]

March 13, 2025March 12, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

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

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 […]

March 12, 2025March 12, 2025 by Debashis Das - No Comments

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, […]