Minino ESP32-C6 board is designed for IoT security and penetration testing

Minino the Kitty Shape IoT AnalysisTool

Minino security tool is a kitty-shaped ESP32-C6 powered cybersecurity device for analyzing 2.4GHz communications and probing IoT devices. It supports Bluetooth Low Energy, Wi-Fi 6, Zigbee, Thread, and Matter, and has a dedicated GNSS radio for receiving signals from various satellite constellations. Minino is compatible with CatSniffer analysis tools and Wireshark software, and can log packet captures on a microSD card. These features make this suitable for applications like assessing IoT device security, network analysis, and wireless protocol research. We have previously written about similar IoT security and pen testing tools like the ESP8266 and ATmega32U4-based Diabolic Drive, the ESP32 Marauder Pocket Unit v2, the ThingPulse Pendrive S3, and many others, feel free to check those out if you are interested in the topic. Minino security tool specifications Wireless Module – ESP32-C6-WROOM-1U SoC – ESP32-C6  CPU Single-core 32-bit RISC-V clocked up to 160 MHz Low-power RISC-V core @ up to […]

Ugoos SK1 8K Android TV box with Dolby Vision comes with Amlogic S928X-K SoC, 8GB LPDDR4, 128GB eMMC flash

Ugoos SK1 8K TV Box Dolby Vision Atmos DTS HD

Ugoos SK1 8K Android TV box is based on the Amlogic S928X-K penta-core Cortex-A76/A55 SoC with 8GB LPDDR4, a 128GB eMMC flash, and support for Dolby Vision HDR. The SK1 model follows the Ugoos AM8 model introduced last year with the Amlogic S928X-J processor, 4GB LPDDR4, and 32GB eMMC flash. The new model provides additional licenses with the S928X-K SoC and more resources that should be suitable for more than just watching 8K videos, and some games and other apps could easily run on the device. Ugoos SK1 specifications: SoC – Amlogic S928X-K CPU – Penta-core processor with 1x Cortex-A76 core @ up to 2.0 GHz, 4x Cortex-A55 cores GPU – Arm Mali-G57 MC2 GPU with support for OpenGL ES 3.2, Vulkan 1.2, and OpenCL 2.0 VPU 8Kp60 H.265, AV1, VP9, AVS3/AVS2 10-bit video decoder; 4Kp60 H.264 decoder, 1080p60 MPEG-4, WMV/VC-1, AVS, MPEG-2, MPEG-1 decoder Low-latency 4Kp60 H.265/H.264 encoder AI […]

Beginner friendly Arduino Plug and Make Kit features Arduino UNO R4 WiFi and Modulino I2C modules

Arduino UNO R4 WiFi Modulino nodes

Arduino has just launched a “Plug and Make” kit designed for beginners with an Arduino UNO R4 WiFi board, several “Modulino” modules, a “Modulino” base to neatly attach the UNO R4 and modules,  and various cables, spacers, screws, and nuts. When thinking about Arduino projects, breadboards or even soldering may come to mind, but the new Arduino Plug and Make Kit does not require any of those. No breadboard, jumper wires, or soldering needed. Users can simply connect the modules to the Arduino board through Qwiic cables, neatly attach everything together on the provided base, and follow one of the seven projects complete with step-by-step instructions provided with the kit. The Arduino Plug and Make Kit content Arduino UNO R4 WiFi board 7x Modulino I2C nodes Modulino Knob* – Encoder for value adjustments Modulino Pixels* – 8x LC8822-2020 RGB LEDs Modulino Distance – STMicro VL53L4 Time-of-Flight (ToF) proximity sensor to […]

High Torque Robotics Mini π is a bipedal robot powered by an Orange Pi 5 SBC

High Torque Robotics mini Pi bipedal robot

High Torque Robotics’ Mini π is a 54cm high bipedal robot that can walk and dance with two legs and leverages the Orange Pi 5 SBC’s features such as the 6 TOPS AI accelerator in the Rockchip RK3588S processor. The robot offers 12 degrees of freedom (DOF) and can run, jump, and even flip thanks to its twelve join motors that were developed by the company. The Mini π is designed for locomotion algorithm research and education and supports ZMP (zero moment point), MPC (Model Predictive Control), reinforcement learning locomotion control algorithms, and ROS SLAM navigation features.   Mini π bipedal robot highlights: SBC – Orange Pi 5 RK3588S single board computer Controller – Custom-design “high-performance underlying controller” using 4x CAN FD communication DOF – 6 DoF per leg, or 12 in total Joint motors 8x HTDM-5047-36-NE with gear ratio: 36, 16Nm peak torque 4x HTDM-4438-32-NW with gear ratio: 32, […]

Mixtile Edge AI boxes work with ONVIF cameras to deploy video analytics solutions (Sponsored)

Mixile Ege AI Box

Mixtile Edge AI solution supports ONVIF cameras and leverages object detection, object classification, real-time analysis, and intelligent monitoring to create IoT video analytics applications across the security, transportation, logistics, retail, industry, and agriculture sectors. The hardware is based on the time-tested Mixtile Edge 2 Kit IoT gateway powered by a Rockchip RK3568 SoC with a 1 TOPS NPU and 1080p60 VPU, or Mixtile Blade 3 SBC featuring the more powerful Rockchip RK3588 octa-core SoC with a 6 TOPS AI accelerator and an 8Kp60 VPU. The former can analyze up to 10 streams in real-time, and the latter up to a whopping 40 streams. So the novelty here is on the software side that has been developed by Mixtile and works the following way: The ONVIF cameras transmit video streams to a Mixtile Edge AI Box over the network. The Edge AI Box then runs pre-trained AI models to analyze the […]

SkyByte Mini Wi-Fi-controlled drone runs the open-source ESP32-Drone firmware (Crowdfunding)

SKyByte Mini drone fully assembled

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 AI OPTIC ESP32-S3 camera

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

MyoWare 2.0 Muscle Sensor with ESP32 Arduino board

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. […]

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