Raspberry Pi News - Page 4 of 177 - CNX Software

January 20, 2025January 20, 2025 by Tomisin Olujinmi - No Comments

BANDIT PC32 standalone ColorForth keyboard computer is powered by the Raspberry Pi RP2350 microcontroller

BANDIT PC32 is a Raspberry Pi RP2350-powered keyboard computer that runs a graphically-oriented version of the ColorForth programming environment. The BANDIT PC32 is primarily aimed at on-the-go use for programming video games. The custom, 32-key split keyboard takes up most of the build, with a 3.2-inch 320 x 240 capacitive display in the center. It also features an HDMI port for connecting a larger external display. The 48-pin GPIO is divided into two female headers and can be used to interface with other devices directly. This is the second version of the Bandit standalone computer, building on an early prototype based on the RP2040 microcontroller. We have seen several interesting RP2350-based products like the Inky Frame 7.3”, 4D Systems display modules, and Jumperless V5 programmable breadboard. However, this is the first RP2350 standalone computer we have come across. It shares some similarities with the ESP32 Rainbow. BANDIT PC32 ColorForth specifications: […]

January 17, 2025January 19, 2025 by Debashis Das - 3 Comments

Open hardware RP2350B boards offer up to 16MB flash, 8MB PSRAM, microSD card slot, 48x GPIOs

Olimex PICO2 XL and PICO2 XXL RP2350B Dev board

Olimex has recently released the PICO2-XL and PICO2-XXL open-source hardware RP2350B development boards with up to 16MB flash, 8MB PSRAM, 48 GPIOs, a microSD card slot, and more. The main difference between the two boards is that the PICO2-XL includes 2MB of external QSPI Flash and a compact flat-bottom design, making it ideal for simpler, space-constrained projects. In contrast, the PICO2-XXL offers 16MB of QSPI Flash, 8MB of PSRAM, and a microSD card slot for expanded storage and performance, catering to more demanding applications like IoT and edge computing. Olimex PICO2-XL and PICO2-XXL specifications SoC – Raspberry Pi RP2350B MCU CPU Dual-core Arm Cortex-M33 @150MHz with Arm Trustzone Dual-core 32-bit Hazard3 RISC-V @ 150MHz Up to two cores can be used at the same time Memory – 520KB SRAM 8kB OTP storage Security – Secure boot Package – QFN-80; 10×10 mm Memory – 8MB PSRAM (PICO2-XXL only) Storage PICO2-XL – […]

January 15, 2025January 15, 2025 by Debashis Das - No Comments

ESP32-based Waveshare DDSM Driver HAT (B) for Raspberry Pi supports DDSM400 hub motors

Waveshare DDSM Driver HAT (B) Raspberry Pi DDSM motor driver

Waveshare has recently launched DDSM Driver HAT (B), a compact Raspberry Pi DDSM (Direct Drive Servo Motor) motor driver designed specifically to drive the DDSM400 hub motors. This board is built around an ESP32 MCU and supports wired (USB and UART) and wireless (2.4GHz WiFi) communication. Additionally, the board features a physical toggle switch, which lets it choose between the ESP32 control or USB control modes. On ESP32 control mode you can control the device through a built-in web application. In the USB control mode, the motor driver can be controlled via USB from a host computer sending JSON commands. An XT60 connector is used to power the board, and programming is done through a USB-C port that connects to the ESP32. The board is suitable for robotics projects, especially for mobile robots in 6×6 or 4×4 configurations. Waveshare DDSM Driver HAT (B) specifications: Wireless MCU – Espressif Systems ESP32-WROOM-32E ESP32 […]

January 14, 2025 by Tomisin Olujinmi - 2 Comments

Ditronix’s IPEM PiHat turns your Raspberry Pi into a mains power energy monitor (Crowdfunding)

Raspberry Pi 5 IPEM Power Energy Monitor

The IPEM PiHat is a HAT (Hardware Attached on Top) board for the Raspberry Pi that turns the single-board computer into a mains power energy monitor with four CT clamps. It provides an accurate way to track energy usage in home, office, and solar energy systems and is compatible with single-phase, two-phase, and three-phase electrical systems. The Raspberry Pi-based power energy monitor uses CT (current transformer) cable clamps to sample and measure data which can be used to report and analyze electric energy usage. This data can be used to save and divert energy to reduce costs and inefficiencies. The system is easy to set up and does not require a professional electrician. It uses a CT current clamp clipped over the building’s main power cables and connected to the local mains circuit for voltage and frequency measurement. The add-on board comes in two variants: IPEM PiHat and IPEM PiHat […]

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

OpenFlexture Microscope is an open-source, 3D-printed microscope based on Raspberry Pi 4 SBC and Camera Module v2

The OpenFlexture Microscope is a DIY, open-source, 3D-printed microscope built around the Raspberry Pi 4, a Raspberry Pi Camera Module v2, and a choice of optics or various qualities up to lab-grade optics. It can be motorized using low-cost geared stepper motors and can achieve a resolution of up to around 100 nanometers I found out about the OpenFlexture Microscope in one of the sessions at the upcoming FOSDEM 2025 event whose description partially reads: The OpenFlexure Microscope is an open-source laboratory-grade digital robotic microscope. As a robotic microscope, it is able to automatically scan microscope slides creating, enormous multi-gigapixel digital representations of samples. The microscope is already undergoing evaluation for malaria and cancer diagnosis in Tanzania, Rwanda, and the Philippines. As an open project, our key goal is to support local manufacturing of microscopes in low-resource settings. [..] high-quality consistent documentation has enabled thousands of microscopes to be built […]

January 14, 2025January 13, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Morse Micro MM8108 WiFi HaLow SoC supports up to 43.33 Mbps transfer rate, improves range and power efficiency

Morse Micro MM8108 is a new WiFi HaLow (802.11ah) SoC with a throughput of up to 43.33 Mbps, and improved range and power efficiency compared to its predecessor the Morse Micro MM6108 introduced in 2022 and supporting up to 32.3 Mbps transfer rate. The new chip is also smaller at just 5x5mm in a BGA package instead of 6x6mm in a QFN48 package for the MM6108/MM6104, adds a USB 2.0 host interface besides SDIO 2.0 and SPI, as well as a MIPI RFFE (Radio Frequency Front-End) for integration and interoperability with multi-radio systems. Morse Micro MM8108 specifications: 32-bit RISC-V Host Applications Processor (HAP) Single-Chip IEEE802.11ah Wi-Fi HaLow transceiver for low-power, long-reach IoT applications Worldwide Sub-1 GHz frequency bands (850MHz to 950MHz) On-chip 26 dBm power amplifier with support for external FEM (Front End Module) option 1/2/4/8 MHz channel bandwidth for up to 43.3 Mbps data rate using 256-QAM modulation at […]

January 10, 2025January 10, 2025 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Raspberry Pi 5 edge AI computer ships with 8GB RAM, Hailo-8 AI module, supports Frigate NVR

Seeed Studio’s reComputer AI R2130-12 is an Edge AI computer with a Raspberry Pi 5 SBC with 8GB RAM and a Hailo-8 module with 26 TOPS of AI performance, suitable for video analytics, machine vision, and intelligent edge computing. The computer comes with a HAT+ with two M.2 sockets, one occupied by the Hailo-8 AI accelerator and the other available for an M.2 NVMe SSD. In some ways, it’s just a nicely packaged Raspberry Pi 5 SBC with Hailo-8 AI accelerator that we reviewed last year. reComputer AI R2130-12 specifications: SBC – Raspberry Pi 5 with 8GB RAM AI Processor – Hailo-8 M.2 AI accelerator module with 26 TOPS Storage microSD card slot, with support for high-speed SDR104 mode Optional M.2 NVMe SSD via M.2 PCIe 3.0 slot Video Output – 2x micro HDMI ports up to 4Kp60 Camera/Display I/F – 2x 4-lane MIPI camera/display transceivers Networking Gigabit Ethernet RJ45 […]

January 9, 2025January 9, 2025 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

Raspberry Pi 5 with 16GB RAM launched for $120

Considering the Raspberry Pi CM5 is available with up to 16GB RAM, it should come as no surprise that the Raspberry Pi 5 also got its own 16GB LPDDR4 RAM upgrade. But the extra memory does come at a premium since the new board sells for $120, a $40 markup compared to the Raspberry Pi 5 with 8GB RAM. The extra memory should bring the user experience closer to a desktop machine for browsing the web with multiple tabs, checking emails, watching YouTube videos, and more all at the same time. Besides multitasking, the 16GB RAM may also be beneficial when running generative AI workloads like LLMs and VLMs which are known to be memory-hungry. Raspberry Pi 5 16GB specifications: SoC – Broadcom BCM2712 “D0” stepping CPU – Quad-core Arm Cortex-A76 processor @ 2.4 GHz with crypto extensions, 512KB per-core L2 caches, 2MB shared L3 cache GPU – VideoCore VII […]