Video Category - Page 8 of 317 - CNX Software

June 8, 2024June 8, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

UP Xtreme i14 SBC offers Intel Core Ultra 5/7 Meteor Lake SoC, up to 64GB LPDDR5 for robotics and AIoT applications

AAEON has launched the UP Xtreme i14 SBC based on a choice of Intel Core Ultra 5/7 Meteor Lake SoCs, up to 64GB LPDDR5, M.2 PCIe sockets and a SATA port for storage, 2.5GbE and GbE interfaces, four 8K capable video output ports (HDMI, DP, and USB-C), a MIPI CSI camera interface, and more. The 14th Intel Core Ultra 5/7 SoC features up to 16 cores, Intel Arc graphics, and an Intel AI Boost NPU that deliver up to 32 TOPS combined and make the UP Xtreme i14 board especially suitable for applications such as Autonomous Mobile Robots (AMR), Smart Retail, and AI-assisted healthcare imaging. UP Xtreme i14 specifications: Meteor Lake-H/U SoC (one of the other) Intel Core Ultra 7 165H 16-core (6P+8E+2LPE) processor @ 1.4 / 5.0 GHz with 24MB cache, Intel 8Xe LPG graphics @ 2.3 GHz, Intel AI Boost NPU; TDP: 28W Intel Core Ultra 7 155H […]

June 7, 2024 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

PiWings 2.0 is a tiny drone based on Raspberry Pi Pico and ESP8266 WiFi module (Crowdfunding)

PiWings 2.0 Raspberry Pi Pico drone variants

SB Components’ PiWings 2.0 is a small drone combining a Raspberry Pi Pico with an ESP8266 WiFi module (ESP-12E) for wireless connectivity, and designed for STEM education and drone enthusiasts. The PiWings 2.0 board supports up to six motors and four servos, includes a 6-axis IMU for auto-leveling, and features I2C, SPI, UART, and GPIO expansion ports for custom sensor and/or actuator support. The drone itself is offered with three, four, or six rotors. PiWings 2.0 key features and specifications: Microcontroller board – Raspberry Pi Pico with Raspberry Pi RP2040 dual-core Cortex-M0+ microcontroller, 264KB SRAM Wireless module – ESP-12E (ESP8266) WiFi module for iBus support Motor Drivers – 6 channels (3A DC) Servo Motors – 4 channels USB – 1x micro USB port (on Raspberry Pi Pico) Expansion – I2C, SPI, UART, GPIO ports Sensor – On-board 6-axis IMU (MPU6050) for auto-leveling Misc – 4x RGB LEDs Power Supply 3V […]

June 4, 2024 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

$70 Raspberry Pi AI Kit combines official M.2 HAT+ with Hailo-8L AI accelerator

Raspberry Pi Limited has just launched the “Raspberry Pi AI Kit” comprised of the official M.2 Key M HAT+ and a 13 TOPS Hailo-8L M.2 AI accelerator module and selling for $70 through distributors. We had seen Raspberry Pi showcase an AI camera at Embedded World 2024, so when I received an email from a representative about a “Raspberry Pi AI Kit” I thought it would be the announcement about the camera. Instead, it’s a kit comprised of existing parts with the most interesting aspects being the price and availability (hopefully) since Hailo-8/8L accelerators are mostly found in more expensive embedded/industrial solutions, and easier documentation to get started. Raspberry Pi AI Kit highlights: Support SBC – Raspberry Pi 5 M.2 HAT+ with PCIe Gen2 x1 interfaces, M.2 Key M support, Hailo-8L AI accelerator with Up to 13 TOPS of performance M.2 2242 form factor Typical power consumption – 1.5W Thermal […]

June 3, 2024June 3, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Conexio Stratus Pro – A battery-powered nRF9161 development kit with LTE IoT, DECT NR+, GNSS connectivity (Crowdfunding)

Conexio Stratus Pro nRF9161 IoT prototyping kit

Conexio Stratus Pro is a tiny IoT development kit based on Nordic Semi nRF9161 system-in-package (SiP) with LTE-M/NB-IoT, DECT NR+, and GNSS connectivity and designed to create battery-powered cellular-connected electronic projects and products such as asset trackers, environmental monitors, smart meters, and industrial automation devices. Just like the previous generation Conexio Startus board based on the Nordic Semi nRF9160 cellular IoT SiP, the new Conexio Stratus Pro board supports solar energy harvesting and comes with a Feather form factor and Qwiic connector for each expansion. Conexio Stratus Pro specifications: System-in-package – Nordic Semi nRF9161 SiP MCU – Arm Cortex-M33 clocked at 64 MHz with 1 MB Flash pre-programmed MCUBoot bootloader, 256 KB RAM Modem Transceiver and baseband 3GPP LTE release 14 LTE-M/NB-IoT support DECT NR+ ready GPS/GNSS receiver RF Transceiver for global coverage supporting bands: B1, B2, B3, B4, B5, B8, B12, B13, B17, B18, B19, B20, B25, B26, B28, […]

June 2, 2024June 17, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

TOOCAA L2 Review – A fully enclosed 20W laser engraver & cutter with a focus on safety

TOOCAA L2 review 20W laser engraver cutter

TOOCAA L2 is a fully enclosed laser engraver and cutter with a 10W or 20W laser module using orange acrylic covers and various sensors for additional safety. The laser module complies with Class 1 Laser Safety certification and the engraving and cutting machine works with a range of materials suitable for creators who want to cut or/and carve workpieces or manufacture high-resolution parts. The company sent us a sample of the TOOCAA L2 with a 20W laser model, an air assist pump, a honeycomb plate, and a few consumables for review. We’ll first go through an unboxing of all items and assembly, before testing the laser engraver and cutter under various scenarios. TOOCAA L2 unboxing The review kit we received includes three packages from TOOCAA. Each package contains various components. with foam drilled into shape to support each part and right-angled cardboard along all four corners of the package to […]

May 30, 2024May 30, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

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 […]

May 29, 2024May 29, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

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

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 […]

May 29, 2024May 28, 2024 by Tomisin Olujinmi - No Comments

HealthyPi Move is an open-source nRF5340-powered biometric monitor worn like a watch (Crowdfunding)

The HealthyPi Move is the latest biometric monitor in the HealthyPi series from ProtoCentral. It is the first to come in a wearable form factor and can measure up to eight vital signs. It is powered by a Nordic Semiconductor nRF5340 dual-core SoC, with a Cortex-M33 application processor and a Cortex-M33 network processor. It features 128MB of flash memory connected through a high-speed QSPI interface that can store up to 10 days of processed data. It is capable of measuring galvanic skin response (EDA/GSR), electrocardiogram (ECG) signals, and photoplethysmogram (PPG) signals for determining blood oxygen level (SPO2), blood pressure, and heart rate variability. It also includes a body temperature sensor and inertial measurement unit (IMU) with a 6-axis accelerometer and gyroscope. HealthyPi Move targets medical and biotech applications, including personal health tracking, building healthcare devices, and even clinical research with approval from the FDA or IRB. We have previously covered […]