The SkyByte Mini is a simple, miniature drone powered by the ESP32-WROOM-32 WiFi and Bluetooth module, and comprised of an MPU6050 inertial measurement unit, coreless motors, and plastic propellers. The Espressif ESP32-WROOM-32 module on the board provides a wireless connection that can be used to control the drone from a mobile app. The printed circuit board uses an “all-in-one” design that removes the need for 3D-printed parts and makes for a more compact final product. The drone’s functionality can be extended with external sensors to suit desired applications. It can be used for hobbyist and educational purposes. SkyByte Mini drone specifications: Wireless Module – ESP32-WROOM-32 module, dual-core Tensilica processor, with integrated Wi-Fi + Bluetooth 4.2 LE Motor control – 4x SI2302 N-Channel 20V MOSFET USB – USB-C port for power and programming Sensor – TDK Invensense MPU6050 IMU 3-axis gyroscope and 3-axis accelerometer Misc- 3x debugging LEDs, 1x power LED, […]
NORVI AI Optic is an ESP32-S3 autofocus camera with dual LED flashlight, 2.1-inch LCD display
NORVI Controllers’ AI Optic – also written as AIOptic – is an ESP32-S3 camera solution with a 5MP OV5640 autofocus camera module, a 2.1-inch LCD Display, a dual LED flashlight, and a microSD card for data storage. The camera also features a USB-C port for power and programming and a built-in 600mAh backup battery. It comes with a rotary switch for menu navigation and power on/off and supports external triggers via a dry contact input. NORVI AI Optic specifications: Wireless module – ESP32-S3-WROOM-1U-N16R8 MCU – ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with vector extension (for ML/AI), 512KB SRAM Memory – 8MB PSRAM Storage – 16MB flash Wireless – WiFi 4 and Bluetooth LE 5 Storage – MicroSD card slot Display – Optional 2.1-inch LCD display with 320×240 resolution using ST7789 driver Camera – 5MP OV5640 autofocus camera USB – 1x USB Type-C port for power and programming Misc Dual […]
MyoWare 2.0 Muscle Sensor Wireless Kit targets electromyography (EMG) applications
The MyoWare 2.0 Muscle Sensor Wireless Kit is an Arduino-compatible electromyography (EMG) sensor kit capable of detecting and measuring the electrical signals generated by muscle fibers in the body. The MyoWare 2.0 kit is a collaborative product by SparkFun and Advancer Technologies. The MyoWare 2.0 ecosystem brings several improvements over the previous generation, including a compact design, solderless snap connectors, and an upgraded chipset for improved reliability and performance. It includes shields designed to seamlessly interface with the MyoWare 2.0 Muscle sensor, a wearable, Arduino-compatible EMG sensor. The Muscle Sensor’s wearable design makes it possible to directly attach biomedical sensor pads and add-on shields to the board. It operates on a single-supply voltage between +3.3V to +5V and supports three separate output modes. It analyzes filtered and rectified activity from muscle movement and outputs a signal from 0 to the power source voltage (VIN) that represents the intensity of flex. […]
Amlogic S905X5M vs S905X4 – Features and benchmarks comparison
Amlogic S905X5M is an update to the Amlogic S905X4 quad-core Cortex-A55 SoC with a higher 2.5 GHz CPU clock and a new generation Arm G310 CPU that delivers up to close to three times the performance of the Mali-G31 MP2 GPU for more advanced and smoother HDR user interfaces. The S905X5M and S905X4 share the same video decoding capabilities, notably AV1 and H265 up to 4Kp75, but the new S905X5M drops support for H.265 1080p60 video encoding, only keeping H.264 1080p30. One of the new features is the inclusion of an NPU designed specifically for Super Resolution enabling video upscaling with better image quality. You’ll find the differences between the Amlogic S905X5M and S905X5 processors in the comparison table below. The Amlogic S905X5M adds some HDMI 2.1 features that deserve an explanation: QMS (Quick Media Switching) – A source device can instantly switch its content’s resolution or frame rate without […]
LILYGO T-Glass – An ESP32-powered smart glasses with 1.1-inch prism display, IMU, microphone, and more
LILYGO T-Glass is an ESP32-S3-powered smart glasses development platform with a smart Bosch IMU, an integrated microphone, a touch button, and a 1.1-inch full-color prism display with 126 x 126 resolution. The features and specifications make this device similar to a Google Glass 2 or Google Glass Enterprise Edition v2 but with a developer-friendly codebase and much room for tinkering. In our previous post, we also wrote about Pivothead SMART glasses and Qualcomm Snapdragon XR1 AR smart viewer feel free to check those out if you are looking for similar but more powerful products than this one. LILYGO T-Glass specifications: Wireless SoC – Espressif Systems ESP32-S3FN4R2 CPU – Dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration Memory – 512KB RAM, 2MB PSRAM Storage – 4MB flash Wireless – 2.4 GHz WiFi 4 and Bluetooth Display – 1.1-inch full color LTPS AMOLED JD9613 display (294 x 126 pixels) […]
RAUC open-source OTA update solution for embedded Linux ported to Rock Pi 4 SBC
RAUC open-source OTA update solution enabling A/B updates for embedded Linux images has recently been ported to the Radxa Rock Pi 4 Model B SBC powered by a Rockchip OP1 SoC by the project’s maintainer, Leon Anavi working for Konsulto Group. If you run a Linux distribution like Ubuntu, Debian, or Fedora, packages and OS images are taken care of automatically or by running a few commands. However, software engineers who build custom embedded Linux images with the Yocto Project or Buildroot must handle this themselves. Luckily, there are already open-source OTA firmware update solutions such as Mender, Balena, Torizon, OSTree, Snap, or RAUC, and we’ll look at the latter today. RAUC (Robust Auto-Update Controller) was started by Pengutronix in 2015 and eventually adopted by the community. It’s a lightweight update client that runs on an Embedded Linux device and controls the A/B update procedure when a new firmware revision […]
NDAA-compliant NVIDIA Jetson Orin NX and Nano bundles target drones
ARK Electronics has recently introduced NDAA-complaint NVIDIA Jetson Orin NX and Nano bundles designed for drones with the company’s Jetson PAB (Pixhawk Autopilot Bus) carrier board, an ARKV6X flight controller, and an SSD preloaded with NVIDIA Jetpack and the ARK UI. I’ve come across the board following a post on X pointing to an article on Tom’s Hardware about the US passing a bill called “Countering CCP Drones Act” that would effectively ban DJI drones in the US. DJI is supposed to have a 90% market share of the U.S. hobby market, a 70% market share of the industrial market, and an over 80% market share of the first responder market, so not everybody will be happy if the bill passes in the senate and becomes enacted by the US president. But US companies making NDAA-compliant hardware and drones may bit mind, and that’s how I discovered ARK Electronics NVIDIA […]
Radxa Fogwise Airbox AI box review – Part 2: Llama3, Stable Diffusion, imgSearch, Python SDK, YOLOv8
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 […]