Raspberry Pi News - Page 69 of 182 - CNX Software

July 25, 2022July 25, 2022 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Compact3566 – A Rockchip RK3566 SBC that closely follows Raspberry Pi 3 form factor

We’ve very recently written about Geniatech XPI-3566 SBC powered by Rockchip RK3566 CPU that somewhat follows the Raspberry Pi 3 Model B form factor. Boardcon Compact3566 offers similar features, but it appears to keep exactly the same port assignment as the Raspberry Pi SBC, so it should be compatible with more accessories. The Compact3566 SBC ships with up to 8GB LPDDR4 and 128GB eMMC flash, features Gigabit Ethernet & WiFi 5, four USB 3.0/2.0 ports, HDMI 2.0 output, MIPI DSI and CSI interfaces, the 40-pin GPIO header, as well as extra built-in features such as an M.2 socket for storage, RTC with battery, and a built-in microphone. Compact3566 specifications: SoC – Rockchip RK3566 quad-core Arm Cortex-A55 @ up to 1.8 GHz with ARM Mali-G52 2EE GPU with support for OpenGL ES 1.1/2.0/3.2. OpenCL 2.0. Vulkan 1.1, 0.8 TOPS NPU System Memory – 2GB, 4GB, or 8GB LPDDR4/LPDDR4X Storage 8GB, 16GB, […]

July 22, 2022July 22, 2022 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Theengs open-source tools to decode BLE sensors work on ESP32, Raspberry Pi, Android phone, etc…

Theengs is a manufacturer agnostic open-source set of tools to decode BLE sensors and integrate those into smart home and IoT solutions such as Home Assistant with notably support for autodiscovery to automatically create the sensor. Theengs can be installed on various hardware from ESP32 to an Android phone or a Raspberry Pi SBC, and the solution currently supports close to forty BLE sensors from various companies including Xiaomi, Honeywell, and RuuviTag. There are six components: The Theengs Decoder library developed in C++ for portability and translating data from sensors into human-readable data using the JSON format. The Python-based Theengs Gateway acting as a BLE to MQTT bridge for Home Assistant, OpenHAB, and NodeRED integration. It relies on the Theengs Decoder library and publishes the sensors broadcasted BLE information to an MQTT broker. The OpenMQTTGateway is also BLE to MQTT bridge, but instead of targetting Linux-capable hardware like Raspberry […]

July 19, 2022August 11, 2022 by Jean-Luc Aufranc (CNXSoft) - 11 Comments

CrowPi L Raspberry Pi 4 laptop review – Part 1: Unboxing and teardown

CrowPi L Raspberry Pi Education Laptop Review

Elecrow CrowPi L is an 11.6-inch laptop shell based on Raspberry Pi 4 designed for STEM education with optional electronics modules and tutorials. That’s an evolution of the CrowPi 2 laptop I reviewed in 2020 with a thinner design and more flexible since the electronics modules are optional, so it can serve the market of people just wanting a Raspberry Pi 4 laptop. The company has sent me a full “CrowPi L Advanced Kit” for review with the CrowPi L laptop fitted with a Raspberry Pi 4, as well as the Crowtail Starter Kit for Raspberry Pi. CrowPi L Advanced Kit Unboxing Let’s check out the laptop package first. Since in this design, the laptop comes with a battery, and mine already had a Raspberry Pi 4 installed, I could just turn it on immediately. Accessories include a wireless mouse, a 12V/2A power supply (with USB Type-C plug… this should […]

July 18, 2022August 2, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Geniatech XPI-3566 is a business-card sized Rockchip R3566 SBC

Geniatech has added a new member to its XPI SBC family with the business card-sized XPI-3566 board powered by a Rockchip RK3566 quad-core Cortex-A55 processor, and mostly following the Raspberry Pi 3 form factor like its predecessors. The single board computer comes with 1GB to 8GB RAM, up to 64GB eMMC flash, HDMI 2.0 video output, Gigabit Ethernet, dual-band WiFi, a few USB ports, and a 40-pin GPIO header. It is said to target retail, “interactive communication”, and education applications. Geniatech XPI-3566 specifications: SoC – Rockchip RK3566 quad-core Cortex-A55 processor @ up to 1.8 GHz with Arm Mali-G52 2EE GPU, 0.8 TOPS AI accelerator System Memory – 2GB DDR (1GB, 4GB, or 8GB optional） Storage 16GB eMMC flash (8GB, 32GB, 64GB optional） MicroSD card socket Video Output HDMI 2.0 up to 4Kp60 MIPI DSI connector (not listed in the specs, but it can clearly be seen on the board) Camera […]

July 18, 2022December 15, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

DEBIX Model A – A Raspberry Pi-inspired NXP i.MX 8M Plus SBC for AI applications

DEBIX Model A is a single board computer powered by an NXP i.MX 8M Plus quad-core Cortex-A53 processor with a 2.3 TOPS AI accelerator in a form factor that combines Raspberry Pi 4 and 3 Model B designs. The SBC comes with up to 6GB RAM, a microSD card slot, an optional eMMC flash of up to 128GB capacity, HDMI 2.0a, LVDS, and MIPI DSI display interfaces, a MIPI CSI camera interface, Gigabit Ethernet and WiFi 5 connectivity, plus a 40-pin GPIO expansion header. DEBIX Model A specifications: SoC – NXP i.MX 8M Plus quad-core Cortex-A53 @ up to 1.6 GHz (industrial) or 1.8 GHz (commercial), with Arm Cortex-M7 @ up to 800 MHz, Vivante GC7000UL 3D GPU, Vivante GC520L 2D GPU, 2.3 TOPS NPU System Memory – 2GB LPDDR4 (4GB/6GB optional) Storage – Default: Micro SD card; optional 8GB, 16GB, 32GB, 64GB, or 128GB eMMC flash Video Output HDMI […]

July 14, 2022July 14, 2022 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

can2040 project adds software CAN bus to Raspberry Pi RP2040 microcontroller

Raspberry Pi RP2040 can2040 software CAN Bus

The can2040 project is a software CAN bus implementation for the Raspberry Pi RP2040 microcontroller that leverages programmable I/Os (PIO) to achieve reading and writing CAN 2.0B data frames at rates up to 1Mbit per second. Kevin O’Connor, the developer of the project, further explains the implementation uses only one of the two RP2040 PIO hardware blocks, so it is possible for a single Raspberry Pi RP2040 chip to have two separate CAN bus interfaces. Some processing also happens on one of the Arm Cortex-M0+ cores of the microcontroller with the processing time dependent on the amount of bus traffic, and a fully saturated CAN bus at the fastest supported rate of 1Mbit/s may use up to around 30% of that core when clocked at 125MHz, so that should still leave plenty of room for other tasks that may run on the system. I could not find any information about […]

July 13, 2022 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

Pixel Pump is an open-source, manual pick-and-place machine (Crowdfunding)

Pixel Pump is an open-source hardware vacuum pump that should be easier to use than a pair of tweezers to pick and place SMT components, and suitable for prototypes and small production runs. The system comes with a pen with five exchangeable stainless-steel nozzles to match the size of components, a foot pedal, and several tactile silicone buttons with RGB backlighting to control the unit. The button on the unit (customized parts bought from Alibaba) allows you to change operation modes, switch between high- and low-power settings, or activate reverse mode to clean your nozzle. It’s also possible to configure vacuum power and LED brightness with the buttons. The foot pedal is used to control the vacuum pump to pick up and release the components. A serviceable air filter is also integrated into the design to protect the vacuum pump and valves from debris. Robin Reiter, Pixel Pump’s designer, explains […]

July 12, 2022July 12, 2022 by Jean-Luc Aufranc (CNXSoft) - 11 Comments

Benchmarks comparison between UP 4000, Raspberry Pi 4, UP board, and Jetson Nano

UP 4000 vs UP Board vs Raspberry Pi 4-vs-Jetson-Nano Phoronix benchmarks

We wrote about the UP 4000 SBC with an Intel Apollo Lake processor and Raspberry Pi form factor yesterday. But today, I noticed the UP community had put up a benchmarks comparison between the UP 4000 board, the original UP board (Atom x5-8350), the Raspberry Pi 4, and NVIDIA Jetson Nano. They used several of the Phoronix Test Suite benchmarks running on Ubuntu 20.04 (x86) or Ubuntu 18.04 (Arm) on all four boards. The UP 4000 board used featured an Intel Celeron N3350 dual-core processor @ 2.40GHz, the 2GB RAM version of the UP Board, an RPi 4 with 4GB RAM, and a Jetson Nano developer kit with 4GB RAM. As one would have expected, the UP 4000 is ahead in most tests, even though they did not select a model with a quad-core processor such as a Pentium N4200. Note that reading the table may be confusing as for […]