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December 16, 2024December 16, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Olimex ESP32-P4-DevKit offers Ethernet, USB JTAG, MIPI DSI and CSI interfaces

Olimex ESP32-P4-DevKit is a compact development board powered by a 400 MHz ESP32-P4 general-purpose dual-core RISC-V microcontroller with a 10/100Mbps Ethernet RJ45 connector, a USB-C Serial/JTAG connector, MIPI DSI/CSI connectors for a display and a camera, GPIO headers and UEXT connector, Boot and Reset buttons, and a few LEDs. In some ways, it offers similar to the Waveshare ESP32-P4-NANO board we covered last month, but in a different form factor, and it lacks WiFi 6 connectivity and a USB Type-A connector. It’s also much more compact and cheaper than the official ESP32-P4-Function-EV-Board launched this summer, but again, with fewer features. Olimex ESP32-P4-Devkit: Microcontroller – ESP32-P4 MCU Dual-core RISC-V microcontroller @ 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel Processing Accelerator (PPA) VPU – H.264 and JPEG codecs support Memory – 768 KB HP L2MEM, 32 […]

December 16, 2024December 16, 2024 by Debashis Das - No Comments

STM32-powered MM6108-EKH05 Wi-Fi HaLow evaluation kit supports Bluetooth, Camera, and Qwicc/MikroBus modules

Morse Micro has recently launched the MM6108-EKH05 Wi-Fi HaLow Evaluation Kit designed to reduce the development and deployment time of IoT products. Built around the Morse Micro MM6108 HaLow SoC, this kit combines long-range, low-power wireless connectivity with a range of integrated sensors, making it ideal for IoT engineers and developers. Key features include Wi-Fi HaLow connectivity, an STM32U585 Cortex-M33 MCU, integrated sensors (temperature, humidity, accelerometer), 16 MB of SPI Flash memory, programmable GPIOs, power measurement tools, and WPA3 security for reliable and secure communication. The kit also includes alternative power options including USB, battery, or external power, and embeds support for a camera, MikroBus and Qwicc expansion modules, Bluetooth, and current measurement circuitry. All these features make this kit useful for applications including smart homes, industrial automation, and agricultural monitoring. MM6108-EKH05 specifications: MCU – STM32U585 Arm Cortex-M33 microcontroller @ 160 MHz with TrustZone, 2 MB Flash Storage – 16Mbit […]

December 13, 2024December 12, 2024 by Tomisin Olujinmi - No Comments

STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STMicro has announced the availability of the STM32N6 microcontroller series based on the 800MHz ARM Cortex-M55 and the 600 GOPS-capable Neural-ART Accelerator. The STM32N6 is the company’s “newest and most powerful STM32 series,” bringing MPU-level performance to MCUs. It is the first STM32 to feature the Arm Cortex-M55 and offer up to 4.2MB of embedded RAM. Additionally, the chip includes ST’s NeoChrom GPU and an H.264 hardware encoder. According to Remi El-Quazzane, MDRF (Microcontrollers, Digital ICs, and RF Products) President at STMicro, the STM32N6 “marks the beginning of a long journey of AI hardware-accelerated STM32, which will enable innovations in applications and products in ways not possible with any other embedded processing solution.” STMicro offers two versions of the STM32N6 MCU: the STM32N6x7 AI line featuring the Neural-ART accelerator and the STM32N6x5 GP (general-purpose) product line without an NPU. The microcontroller series is primarily targeted at computer vision and audio […]

December 10, 2024December 10, 2024 by Debashis Das - No Comments

Sipeed’s MaixCAM-Pro AI camera devkit adds 2.4-inch LCD, 1W speaker, PMOD interface on top of WiFi 6 and BLE 5.4

Sipeed has recently released the MaixCAM-Pro AI camera devkit built around the SOPHGO SG2002 RISC-V (and Arm, and 8051) SoC which also features a 1 TOPS NPU for AI tasks. The module includes a 2.4-inch color touchscreen and supports up to a 5MP camera module. Other features include WiFi 6, BLE 5.4, optional Ethernet, built-in audio capabilities, a PMOD interface, GPIOs, and more. Additionally, it features an IMU, RTC chip, and AXP2101 power management for enhanced performance. The module is designed for AI vision, IoT, multimedia, and real-time processing applications. Just a few months back, Sipeed introduced the MaixCAM AI camera devkit, which is also built around the SOPHGO SG2002 RISC-V SoC. The new module improves on the MaixCAM with a redesigned PCB, upgraded casing, and various new features including a 2.4-inch IPS touchscreen (640×480), a 1W speaker, expanded IO interfaces, a power button, and an illumination LED. It also […]

December 4, 2024December 28, 2024 by Paisit Wongsongsarn - 1 Comment

SONOFF CAM Slim Gen2 Review – A tiny indoor security camera tested with eWeLink and Home Assistant

We have received the latest tiny indoor security camera from SONOFF: the second generation of the CAM Slim series known as the CAM Slim Gen2 (or CAM S2 for shorts). Some of you might remember the first-generation CAM Slim model reviewed by Jean-Luc about two years ago. The Gen2 version keeps the same 1080p resolution but comes with several upgraded features, including AI algorithms to distinguish living beings, customizable detection zones, customizable privacy zones, sleep mode, enhanced low-light image quality, and flexible storage management. Although it’s packed with several enhancements, its price is lower than the Gen1. Let’s delve into the details! SONOFF CAM Slim Gen2 unboxing Inside the box, you’ll find a compact manual, a USB-C cable, a mounting kit, and a sticker template acting as a drilling guide. The camera is smaller than your palm and comes mounted on a versatile, rotatable base, making installation in various positions […]

November 27, 2024November 26, 2024 by Debashis Das - No Comments

LILYGO T-Bao tiny AI robot combines ESP32 and Kendryte K210 RISC-V chip, features camera and display

The T-Bao AI robot is a compact embedded device/robot that combines an ESP32 and a K210 RISC-V microcontroller and can perform face recognition and robotics applications. This compact device features a 1.54-inch 240×240 capacitive touch screen, a 2MP OV2640 camera, a MAX98357A I2S audio amplifier, a DRV8833 motor driver, an MPU6050 6-axis motion sensor, and an AXP202 PMU for power management. Additionally, it supports USB charging, offers LEGO blocks compatibility, and can move around with integrated caster wheels. These features make it usable for educational projects, robotics, IoT applications, and embedded systems prototyping. LILYGO T-Bao specifications SoCs Kendryte K210 dual-core 64-bit RISC-V processor @ 400 MHz with 8MB on-chip RAM, various low-power AI accelerators delivering up to 0.5 TOPS ESP32-D0WDQ6-V3 dual-core Xtensa LX6 processor, 240 MHz, 16MB Flash, 8MB PSRAM Display – 1.54-inch capacitive touch LCD (240×240) Camera – 2MP OV2640 with rolling shutter, UXGA (1600 x 1200) resolution, 180-degree […]

November 26, 2024March 2, 2025 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Getting Started with Raspberry Pi AI HAT+ (26 TOPS) and Raspberry Pi AI camera

Raspberry Pi AI HAT+ and AI camera review

Raspberry Pi recently launched several AI products including the Raspberry Pi AI HAT+ for the Pi 5 with 13 TOPS or 26 TOPS of performance and the less powerful Raspberry Pi AI camera suitable for all Raspberry Pi SBC with a MIPI CSI connector. The company sent me samples of the AI HAT+ (26 TOPS) and the AI camera for review, as well as other accessories such as the Raspberry Pi Touch Display 2 and Raspberry Pi Bumper, so I’ll report my experience getting started mostly following the documentation for the AI HAT+ and AI camera. Hardware used for testing In this tutorial/review, I’ll use a Raspberry Pi 5 with the AI HAT+ and a Raspberry Pi Camera Module 3, while I’ll connect the AI camera to a Raspberry Pi 4. I also plan to use one of the boards with the new Touch Display 2. Let’s go through a […]

November 18, 2024November 18, 2024 by Debashis Das - 3 Comments

$29 Banana Pi BPI-CanMV-K230D-Zero features Kendryte K230D RISC-V SoC for AIoT applications

The Banana Pi BPI-CanMV-K230D-Zero is a compact and low-power single-board computer built around the Kendryte K230D dual-core XuanTie C908 RISC-V chip with an integrated third-generation Knowledge Process Unit (KPU) for AI computation. It follows the form factor of the Raspberry Pi Zero or Raspberry Pi Zero 2W board and targets IoT and ML applications. The SBC comes with 128MB of LPDDR4 RAM and uses a microSD card slot for storage. Additional features of this board include dual MIPI-CSI camera inputs for 4K video, a 40-pin GPIO header for I2C, UART, SPI, PWM, and more. Wireless features include 2.4GHz WiFi, USB 2.0 with OTG, and microphone support. These features make this SBC suitable for applications such as AI tasks such as image, video, and audio processing. Banana Pi BPI-CanMV-K230D-Zero Specifications SoC – Kendryte K230D CPU CPU1 – 64-bit RISC-V processor @ 1.6GHz with RVV 1.0 support CPU2 – 64-bit RISC-V processor […]