Review of AgroSense LoRaWAN Smart Agriculture sensors with the SenseCAP M2 LoRaWAN gateway

AgroSense LoRaWAN Sensor Review

Today, I will be reviewing the AgroSense LoRaWAN sensors from Makerfabs designed for high-precision agriculture. This time, I received four sets of sensors designed for measuring environmental data and a Seeed Studio SenseCAP M2 LoRaWAN gateway. Below is the list of items I received. AgroSense LoRaWAN Barometric Pressure Sensor – Measures the barometric pressure in a 300 to 1100 hPa range with ±0.12 hPa accuracy and 0.01 hPa resolution. AgroSense LoRaWAN Light Intensity Sensor – Measures the light intensity in a 1 to 65535 lx range with ±1 lx accuracy and ±20% resolution. AgroSense LoRaWAN Temperature & Humidity Sensor – Measures temperature and humidity in the atmosphere in the ranges of -40°C to 85°C and 0 to 100 %RH with accuracy of ±0.2°C and ±0.2% RH respectively. AgroSense LoRaWAN Industrial Temperature Sensor – Measures temperature in the industrial high-temperature environments in the -60°C to 200°C range with ±0.1°C accuracy and […]

Radxa Fogwise Airbox AI box review – Part 2: Llama3, Stable Diffusion, imgSearch, Python SDK, YOLOv8

Radxa Airbox Fogwise review

After checking out Radxa Fogwise Airbox hardware in the first part of the review last month, I’ve now had time to test the SOPHGO SG2300x-powered AI box with an Ubuntu 20.04 Server image preloaded with CasaOS as well as Stable Diffusion and Llama3 containers. I’ll start the second part of the review by checking out the pre-installed Stable Diffusion text-to-image generator and Llama3 AI chatbot, then manually install imgSearch AI-powered image search engine in CasaOS web dashboard, test the Python SDK in the command line, and run some AI vision models, namely Resnet50 and YOLOv8. Radxa Fogwise Airbox OS installation Radxa only provided an Ubuntu Server 20.04 image last month with only the basics pre-installated. The company has now improved the documentation and also made two images available for the Radxa Fogwise Airbox: Base image (1.2GB) – Based on Ubuntu Server 20.04; contains only Sophon base SDK and backend. Full […]

Serial Bus Servo Driver HAT (A) can drive up to 253 servos simultaneously

Waveshare Bus Servo Driver HAT (A)

Waveshare has recently introduced the Serial Bus Servo Driver HAT (A) ESP32-powered servo motor controller for the Raspberry Pi designed to drive up to 253 serial servos simultaneously. The servos can be controlled via UART or USB through the Pi SBC or used as a standalone controller for a robotics project. The board has a wide input voltage range of 9 to 25 volts and features an onboard XT60 connector, a screw terminal, and a DC barrel jack any of which can be used as power input. Besides that, the board features an RS485 port a TTL Servo header, and a UART control switch for convenience. Previously we have written about the Suptronics X200 HAT multifunction expansion board for the Pi with servo support, as well as the ELECFREAKS Wukong 2040 which can also be used to drive servos. Waveshare Serial Bus Servo Driver HAT specifications CPU – Espressif ESP32-WROOM-32 dual-core […]

GateMate Integrated Logic Analyzer (ILA) deep dive

Cologne FPGA ILA Gateware Design

CNXSoft: This is a guest article by Dave Fohrn, Embedded Software Engineer at Cologne Chip AG, that goes into detail about the company’s open-source integrated logic analyzer (ILA) for GateMate FPGA chips. A field-programmable gate array (FPGA) is a highly flexible integrated circuit in which complex logic circuits can be configured. They are often used as custom computing units in digital circuits because of their ability to process data quickly and in parallel using individually configured circuits. The digital circuits designed specifically for FPGAs are usually developed in a hardware description language such as Verilog or VHDL and are known as gateware. The term “gate” refers to the configurable digital logic units in the FPGA on which the individual gate circuits are implemented. An effective design can accelerate the computing process by strategically utilizing the various resources available in the FPGA, processing data in parallel, and intelligent implementing pipelining. A […]

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 […]

ardEEG shield works with Arduino UNO R4 WiFi for biosignals measurement

ardEEG Shield Arduino UNO R4

PiEEG has launched the ardEEG shield specially designed for the Arduino UNO R4 WiFi and capable of measuring biosignals such as those used in electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). PiEEG, led by Ildar Rakhmatulin, Research Associate at Heriot-Watt University in Edinburgh, launched the PiEEG shield for Raspberry Pi to enable brain-computer interfaces last year, and now the company has been working on the equivalent design for Arduino with the ardEEG shield equipped with eight channel taking input from wet or dry electrodes. ardEEG shield key features and specifications ADC – Texas Instruments ADS1299 Analog-to-Digital Converter for biopotential measurements Supported board – Arduino UNO R4 WiFi 8 channels for connecting wet or dry electrodes (Electrodes are positioned according to the International 10-20 system) Host interface – Arduino headers with SPI used for data transfer with a frequency from 250 SPS to 16 kSPS and a resolution of 24 bits […]

XGO-Rider is a 2-wheel self-balancing robot with an ESP32 controller plus either a Raspberry Pi CM4 or BBC Micro:bit (Crowdfunding)

XGO-Rider

XGO-Rider is a two-wheel self-balancing robot with an ESP32 controller for motor and servo control, USB-C charging, etc… and a choice between a Raspberry Pi CM4 module or a BBC Micro:bit board for display, audio, and camera (CM4-only). It’s not the first robot from Luwu Intelligence, since the company launched the XGO-Mini robot dog in 2021, followed by the XGO 2 Raspberry Pi CM4-powered desktop robotic dog with an arm which we reviewed last year. The new XGO-Rider builds on these earlier models but in a different form factor moving from four-legged robots to a 2-wheel self-balancing robot design with many of the same features including AI vision running on the Raspberry Pi CM4. XGO-Rider specifications: Host controller (one or the other) Raspberry Pi CM4 with 2GB RAM + ESP32 for main control, USB-C charging port, DIP switch BBC Micro:bit V2 + ESP32 for main control, USB-C charging port, DIP […]

Sipeed MaixCAM is a RISC-V AI camera devkit with up to 5MP camera, 2.3-inch color touchscreen display, GPIOs

Sipeed MaixCAM

Sipeed MaixCAM is an AI camera based on SOPHGO SG2002 RISC-V (and Arm, and 8051) SoC with a 1 TOPS NPU that takes up to 5MP camera modules and comes with a 2.3-inch color touchscreen display. The development kit also comes with WiFi 6 and BLE 5.4 connectivity, optional Ethernet, audio input and output ports, a USB Type-C port, and two 14-pin GPIO headers for expansion that makes it suitable for a range of computer vision, Smart audio, and AIoT applications. Sipeed MaixCAM specifications: SoC – SOPHGO SG2002 CPU 1 GHz RISC-V C906 processor or Arm Cortex-A53 core (selectable at boot) running Linux 700 MHz RISC-V C906 core running an RTOS 25 to 300 MHz low-power 8051 processor NPU – 1 TOPS @ INT8 with support for models such as Mobilenetv2, YOLOv5, YOLOv8, etc… Video Codec – H.264, H.265, MJPEG hardware encoding and decoding up to 2K @ 30fps Memory […]

EmbeddedTS embedded systems design