Posted on by Debashis Das - 3 Comments on Waveshare 2-CH CAN MiniPCIe – An isolated CAN Bus mini PCIe card for Raspberry Pi CM4 and hosts with USB

Waveshare 2-CH CAN MiniPCIe – An isolated CAN Bus mini PCIe card for Raspberry Pi CM4 and hosts with USB

Waveshare 2 CH CAN MiniPCIe Module

Waveshare 2-CH CAN MiniPCIe is a compact, CAN bus card featuring dual independent CAN channels with a wide baud rate range (10Kbps to 1Mbps). Unlike the esd electronics CAN-PCIeMiniHS/402, this Waveshare card is isolated, supports CAN2.0A/B protocols, and offers easy integration with laptops, industrial computers, and SBCs like Raspberry Pi via Mini PCIe or USB through an adapter. Additionally, the card supports Windows and Linux operating systems, making it ideal for applications like industrial automation and automotive diagnostics and development. Previously we have covered many unique Waveshare products including the Waveshare 1.69-inch IPS touch LCD, ESP32-C6-Pico and ESP32-C6-Pico-M development boards, the Waveshare UGV Rover, and many others feel free to check those out if you are interested in different Waveshare products. Waveshare 2-CH CAN MiniPCIe CAN bus card specifications CAN Bus CAN channel – Dual-channel: CAN1 and CAN2 (independent and isolated) Connector – CAN bus screw terminal (standard 1.25mm pitch) […]

Posted on by Debashis Das - No Comments on LILYGO T-Camera-Plus-S3 – An ESP32-S3 powered dev board with night vision camera and touchscreen display

LILYGO T-Camera-Plus-S3 – An ESP32-S3 powered dev board with night vision camera and touchscreen display

LILYGO T Camera Plus S3 ESP32 S3 Camera Development

The LILYGO T-Camera-Plus-S3 is an ESP32-S3 development board designed for building smart home devices, monitoring systems, and other connected projects. The board features a 1.3-inch TFT LCD and the option to choose from OV2640 or OV5640 camera modules. The T-Camera-Plus-S3 can be considered an upgrade from the T-Camera S3, which was introduced in 2022. The upgraded features include a 1.3″ SPI TFT LCD (240×240), a microphone with MAX98357A codec and external speaker support, support for a micro SD card, a battery connector, and many other features. Previously we have written many different types of ESP32-S3-based boards like the Waveshare ESP32-S3-Matrix, ESP32-S3-Tiny board, and Unexpected Maker NANOS3 feel free to check those out if you are looking for unique ESP32 boards. LILYGO T-Camera-Plus-S3 specification ESP32-S3-WROOM-1 wireless module SoC –  ESP32-S3R8 dual-core Tensilica LX7 microcontroller @ 240 MHz (Note: this SKU is not listed in the official ESP32-S3 datasheet) with 2.4 GHz 802.11n […]

ArmSoM CM5 - Raspberry Pi CM4 alternative with Rockchip RK3576 SoC
Posted on by Debashis Das - No Comments on Dusun DSGW-130 smart home controller fits into an 86-type junction box

Dusun DSGW-130 smart home controller fits into an 86-type junction box

DSGW 130 Zigbee Touch Screen Control Panel

The Dusun DSGW-130 smart home controller is a Rockchip PX30-powered, touch-enabled control panel designed to fit into an 86-type junction box. It runs on Android 11 and can connect to your home network using Wi-Fi and Zigbee, similar to the SONOFF NSPanel Pro. The only glaring difference I can see from the specifications is that the DSGW-130 has a few extra features like more storage, a wired network connection, RS485, and support for newer 5GHz Wi-Fi, which the SONOFF doesn’t have. We’ve also written about other similar controllers, like the SONOFF NSPanel, and reviewed the SONOFF NSPanel Pro with Zigbee and the CAM Slim WiFi camera. Check them out if you’re interested in similar products. Dusun DSGW-130 smart home controller specifications SoC – Rockchip PX30 quad-core Cortex-A35 processor with Arm Mali-G31 GPU System Memory – 1GB DDR3 Storage – 8GB eMMC 5.1 flash Display – 4-inch capacitive touchscreen color TFT display with […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Leveraging GPT-4o and NVIDIA TAO to train TinyML models for microcontrollers using Edge Impulse

Leveraging GPT-4o and NVIDIA TAO to train TinyML models for microcontrollers using Edge Impulse

Edge Impulse using NVIDIA TAO and GPT-4o LLM to run model on Arduino Nicla Vision

We previously tested Edge Impulse machine learning platform showing how to train and deploy a model with IMU data from the XIAO BLE sense board relatively easily. Since then the company announced support for NVIDIA TAO toolkit in Edge Impulse, and now they’ve added the latest GPT-4o LLM to the ML platform to help users quickly train TinyML models that can run on boards with microcontrollers. What’s interesting is how AI tools from various companies, namely NVIDIA (TAO toolkit) and OpenAI (GPT-4o LLM), are leveraged in Edge Impulse to quickly create some low-end ML model by simply filming a video. Jan Jongboom, CTO and co-founder at Edge Impulse, demonstrated the solution by shooting a video of his kids’ toys and loading it in Edge Impulse to create an “is there a toy?” model that runs on the Arduino Nicla Vision at about 10 FPS. Another way to look at it […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 18 Comments on Arm unveils Cortex-X925 and Cortex-A725 CPUs, Immortalis-G925 GPU, Kleidi AI software

Arm unveils Cortex-X925 and Cortex-A725 CPUs, Immortalis-G925 GPU, Kleidi AI software

Arm SoC with Cortex-X925 Cortex-A725 Cortex-A520 CPU with Immortalis-G925 GPU

Arm has just announced new Armv9 CPUs and Immortalis GPUs for mobile SoCs, as well as the Kleidi AI software optimized for Arm CPUs from Armv7 to Armv9 architectures. New Armv9.2 CPU cores include the Cortex-X925 “Blackhawk” core with significant CPU and AI performance improvements, the Cortex-A725 with improved performance efficiency, and a refreshed version of the Cortex-A520 providing 15 percent efficiency improvements. Three new GPUs have also been introduced namely the up-to-14-core Immortalis-G925 flagship GPU which delivers up to 37% 3D graphics performance improvements over last year’s 12-core Immortalis-G720, the Mali-G725 with 6 to 9 cores for premium mobile handsets, and the Mali-G625 GPU with one to five cores for smartwatches and entry-level mobile devices. Arm Cortex-X925 The Arm Cortex-X925 delivers 36 percent single-threaded peak performance improvements in Geekbench 6.2 against a Cortex-X4-based Premium Android smartphone, and about 41 percent better AI performance using the time-to-first token of tiny-LLama […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Ochin V2 tiny Raspberry Pi CM4 robotics carrier board gets micro HDMI port, Fast Ethernet support

Ochin V2 tiny Raspberry Pi CM4 robotics carrier board gets micro HDMI port, Fast Ethernet support

Ochin V2 CM4 robotics carrier board and USB-C board

Ochin V2 is an update to the tiny Ochin Raspberry Pi CM4 carrier board for robotics applications and drones that adds a micro HDMI port, support for Fast Ethernet through pads or a GHS connector (no RJ45 connector), two user LEDs, and a few other changes. The form factor remains the same at just 55 x 40 x 4.7mm, or about the size of a Raspberry Pi Compute Module 4, which in combination with a range of USB, UART, I2C, and SPI interfaces, makes it an ideal candidate for space-constrained applications such as robotics system or UAVs. Ochin V2 specifications (differences against Ochin v1 shown in bold or strikethrough): Supported modules – Raspberry Pi CM4 with Broadcom BCM2711 quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash (the CM4 Lite is not supported since there’s no microSD card on the board), 4Kp60 H.265 decode, 1080p30 H.264 encode, […]

Rockchip RK3568/RK3588 and Intel x86 SBCs
Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on 7-inch ESP32-S3 touchscreen display exposes RS485, CAN Bus, I2C, UART, and analog sensor interfaces

7-inch ESP32-S3 touchscreen display exposes RS485, CAN Bus, I2C, UART, and analog sensor interfaces

ESP32-S3 7-inch Touch LCD

Waveshare ESP32-S3-Touch-LCD-7 is an ESP32-S3 powered WiFi 4 and Bluetooth 5 LE 7-inch touchscreen display with plenty of expansion interfaces such as RS485, CAN Bus, I2C, UART, and Analog input that can be used to develop various HMI applications We’ve written about many ESP32 boards with displays, but most are small displays under 3-inch, and larger displays are more of a rarity except for ESP32 e-Paper displays such as the Inkplate 10 or LILYGO 7.5-inch e-Paper display. Most are based on ESP32-S3 since it comes with an RGB LCD interface, and the only other 7-inch ESP32-S3 touchscreen display we’ve looked into is the Elecrow 7.0-inch display with specifications similar to the Waveshare ESP32-S3-Touch-LCD-7, but fewer I/O headers. Waveshare ESP32-S3-Touch-LCD-7: Wireless module – ESP32-S3-WROOM-1 MCU – ESP32-S3N8R8 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 8MB PSRAM, 8MB flash Wireless – 2.4 GHz WiFi 4 and Bluetooth LE 5 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on picoLLM is a cross-platform, on-device LLM inference engine

picoLLM is a cross-platform, on-device LLM inference engine

picoLLM Raspberry Pi 5

Large Language Models (LLMs) can run locally on mini PCs or single board computers like the Raspberry Pi 5 but with limited performance due to high memory usage and bandwidth requirements. That’s why Picovoice has developed the picoLLM Inference Engine cross-platform SDK optimized for running compressed large language models on systems running Linux (x86_64), macOS (arm64, x86_64), and Windows (x86_64), Raspberry Pi OS on Pi 5 and 4, Android and iOS mobile operating systems, as well as web browsers such as Chrome, Safari, Edge, and Firefox. Alireza Kenarsari, Picovoice CEO, told CNX Software that “picoLLM is a joint effort of Picovoice deep learning researchers who developed the X-bit quantization algorithm and engineers who built the cross-platform LLM inference engine to bring any LLM to any device and control back to enterprises”. The company says picoLLM delivers better accuracy than GPTQ when using Llama-3.8B MMLU (Massive Multitask Language Understanding) as a […]

Boardcon Rockchip and Allwinner SoM and SBC products