DFRobot Edge101 is an industrial-grade IoT controller built around the ESP32 MCU, designed as a bridge between development boards and industrial IoT systems. Housed in a full metal enclosure, it comes with various protection features including surge, ESD, lightning, overvoltage, and reverse polarity protection, and supports continuous 24/7 operation in harsh environments. It integrates RS-485, CAN bus, Ethernet, Wi-Fi, Bluetooth, and RTC, and supports expansion via a PCIe slot for 4G LTE cellular communication, making it suitable for automation, environmental monitoring, and remote data acquisition in industrial or outdoor settings. The IoT controller also offers flexible mounting options such as DIN rail or ear mounting. DFRobot Edge101 specifications: Wireless MCU – Espressif Systems ESP32 CPU – Dual-core Tensilica LX6 microcontroller @ up to 240 MHz Memory – 520 KB SRAM, 16 KB RTC SRAM Wireless – WiFi 4 and Bluetooth 4.2 Storage – 4MB SPI NOR flash, MicroSD card slot Connectivity […]
Atum A3 Nano development board combines Agilex 3 FPGA and USB-Blaster III programmer (Crowdfunding)
Terasic’s Atum A3 Nano is a compact FPGA development board built around Altera’s largest Agilex 3 FPGA (A3CZ135BB18AE7S). The FPGA features 135K logic elements, embedded memory blocks (6.89 Mbit M20K, 1.4 Mbit MLAB), and 368 multipliers, making it suitable for demanding applications such as robotics, automotive systems, smart city infrastructure, consumer electronics, and advanced image processing. Measuring just 85 x 70 mm, the Atum A3 Nano board includes 64 MB SDRAM, Gigabit Ethernet, HDMI output, a microSD card slot, and an onboard USB-Blaster III programmer accessible via a USB Type-C port. Expansion options include a 40-pin GPIO header and two PMOD headers, and the board also features user I/Os like LEDs, buttons, and switches. Additionally, it supports add-ons such as displays, cameras, wireless modules, and motor control kits. Atum A3 Nano specifications: FPGA – Altera Agilex 3 A3CZ135BB18AE7S 135,110 logic elements 6.89 Mbit M20K, 1.4 Mbit MLAB 368 18×19 multipliers 4 I/O […]
Radxa ROCK 4D SBC – A Raspberry Pi lookalike powered by Rockchip RK3576 SoC with 6 TOPS AI accelerator
Radxa ROCK 4D is yet another Rockchip RK3576 SBC, but offered in a credit card form factor similar to the Raspberry Pi 3 model with the usual 40-pin GPIO header, Gigabit Ethernet ports, and four USB ports. We first noticed it when we covered the Radxa Dual 2.5G Router HAT, and I’ve just seen it added to the Linux 6.15 release, so I thought it might be a good time to cover it, especially since it’s already for sale on Allnet and AliExpress starting at $31 plus shipping. Radxa ROCK 4D specifications: SoC – Rockchip RK3576 or RK3576J (industrial-grade version) CPU – Octa-core CPU with 4x Cortex-A72 cores at 2.2 GHz, 4x Cortex-A53 cores at 2.0 GHz GPU – Arm Mali-G52 MC3 GPU with support for OpenGL ES 1.1, 2.0, and 3.2, OpenCL 2.0, and Vulkan 1.2 NPU – 6 TOPS (INT8) AI accelerator with support for INT4, INT8, INT16, […]
ST’s LSM6DSV320X – An AI-enabled IMU with two MEMS accelerometers for activity and shock detection
STMicroelectronics has introduced the LSM6DSV320X, a compact AI-enabled inertial measurement unit (IMU) that integrates a 3-axis digital gyroscope, a 3-axis low-g accelerometer (±16g), and a 3-axis high-g accelerometer (±320g) in a tiny 3 x 2.5mm package, ideal for space-constrained IoT devices such as wearables, smartphones, gaming controllers, smart tags, personal safety gear, and industrial monitoring systems. Most motion sensors are designed to track daily activities or detect sudden impacts, but the LSM6DSV320X is built to do both. One accelerometer tracks everyday motion up to ±16g, while the other handles high-impact events up to ±320g. One of the most interesting features is its adaptive self-configuration (ASC), which allows real-time adjustment of internal settings based on activity without the need for a host CPU, optimizing power use and responsiveness. It also includes a machine learning core (MLC) capable of running up to eight decision trees and a finite state machine (FSM) to […]
Rockchip RK3588 embedded computer features 3x M.2 sockets, 4x RS232, 2x RS485, 2x DI, 2x DO, and more
Forlinx FCU3501 is a fanless embedded computer powered by the Rockchip RK3588 SoC, or the RK3588J industrial-grade variant, and offered with up to 16GB LPDDR4x, 128GB eMMC flash, and plenty of features. Those include HDMI output and input ports, three M.2 sockets for NVMe SSD, Hailo-8 AI accelerator for a combined 26+6 TOPS of AI performance, and 4G/5G cellular module, two gigabit Ethernet ports, a built-in WiFi 4 and Bluetooth 4.2 module, four RS232 and two RS485 isolated serial interfaces, two digital inputs (DI), two digital outputs (DO), and more. Forlinx FCU3501 specifications: SoC – Rockchip RK3588(J) octa-core processor with CPU – 4x Cortex-A76 cores @ up to 2.4GHz (RK3588) / 1.6 GHz (RK3588J), 4x Cortex-A55 core @ 1.8GHz (RK3588) / 1.3 GHz (RK3588J) CPU Arm Mali-G610 MP4 GPU with support for OpenGL ES 1.1, 2.0, 3.2, OpenCL 2.2, Vulkan 1.2 VPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 […]
$24 Banana Pi BPI-Forge1 industrial SBC is powered by Rockchip RK3506J tri-core SoC
The Banana Pi BPI-Forge1, also known as the ArmSoM Forge1, is an industrial SBC (single board computer) powered by the Rockchip RK3506J triple-core Cortex-A7 processor designed for Smart Audio, HMI, and factory automation applications. The Forge1 is equipped with 512MB RAM, 512MB NAND flash, two Fast Ethernet ports, a MIPI DSI display connector, USB Type-A and Type-C ports, an audio jack, a 40-pin GPIO header partially compatible with Raspberry Pi HATs, and a 14-pin header with speaker output, microphone input, RS-485, and CAN Bus. Banana Pi BPI-Forge1 specifications: SoC – Rockchip RK3506J CPU 3x Arm Cortex-A7 core up to 1.5 GHz Arm Cortex-M0 real-time core GPU – 2D GPU only No VPU, no NPU System Memory – 512MB DDR3L Storage 512MB SPI NAND flash MicroSD card Display Interface – 2-lane MIPI DSI connector up to 1280 x 1280@ 60FPS Audio 3.5mm audio jack Speaker and Mic via expansion header Networking […]
Infineon PSoC 4100T Plus multi-sense Arm Cortex-M0+ MCU supports ML-based liquid level sensing, wake-on-touch with 8µA deep sleep mode
Infineon PSoC 4100T Plus is a new low-power Arm Cortex-M0+ MCU designed for battery-powered or low-power embedded systems that require advanced capacitive touch and proximity sensing. The microcontroller comes with 128 KB of flash, 32 KB of SRAM, and an 8 KB ROM. One of the most interesting features of this MCU is Infineon’s fifth-generation CapSense MSCLP technology, which enables high-resolution, low-power capacitive sensing even in deep sleep mode (as low as 8 µA). Its capacitive sensing uses both self and mutual capacitance methods, supported by analog front-end filtering, sigma-delta modulation, and digital filtering techniques, delivering a signal-to-noise ratio greater than 5:1 for accurate detection. The MCU supports gesture detection, human-machine interfaces (HMI), and smart sensing applications, making it ideal for wearables, consumer devices, and IoT systems. Additional features include a 12-bit 1-MSps SAR ADC, six TCPWM blocks, smart I/O with programmable logic functions, multiple UART/I2C/SPI interfaces, and up to […]
Apacer PT25R-Pi HAT SSD for Raspberry Pi 5 integrates 60GB to 480GB BGA SSD, supports CoreSnapshot 2 Backup and Recovery function
Apacer PT25R-Pi HAT SSD is an upcoming HAT for the Raspberry Pi 5 or compatible SBCs with a PCIe FFC connector that integrates a BGA SSD chip with 60 GB to 480GB capacity, and supports advanced features like CoreSnapshot 2 backup and recovery solution, write protect, instant keychange for improved security, and power loss protection. We’ve already seen many Raspberry Pi HATs for NVMe SSDs, but those are typically designed for M.2 SSD modules. The PT25R-Pi HAT SSD comes with built-in storage on the HAT, so it’s basically plug-and-play, and all the user has to do is install the HAT and connect the cable. Apacer PT25R-Pi / PT25R-Pi+ HAT SSD specifications (preliminary): Storage – Built-in 60GB to 480GB SSD chip Connection to Raspberry Pi 5 40-pin GPIO header 16-pin Raspberry Pi FFC connector limited to PCIe Gen2 x1 for optimized power usage Advanced features Optional support for CoreSnapshot 2 backup […]