Waveshare’s Jetson Orin NX Development Kit is an AI edge computing platform tailored for robotics and AI-driven applications built around the NVIDIA Jetson Orin NX module 8GB/16GB delivering up to 70 TOPS and 100 TOPS of AI performance, respectively. It features the JETSON-ORIN-IO-BASE base board, which provides essential interfaces like an M.2 socket, DisplayPort (DP) video output, and USB ports, making it easy for users to connect multiple sensors and peripherals for high-performance AI tasks. The kit includes a 128GB NVMe SSD for high-speed storage and comes pre-installed with the AW-CB375NF wireless network card, which supports dual-band Wi-Fi 5 and Bluetooth 5.0. The Jetson Orin NX module operates within a configurable power range of 10W to 25W, delivering up to 5x the performance of the Jetson Xavier NX module. This development kit is suitable for large-scale AI projects requiring multiple concurrent inference pipelines and high-speed data processing. Previously, we covered […]
Renesas RX260 and RX261 64 MHz RXv3 MCUs target power-efficient touch applications
The Renesas RX260 and RX261 two new 64 MHz microcontrollers part of the high-performance, high-efficiency RX product family with integrated capacitive touch-sensing and high power efficiency in both active and standby modes. The microcontrollers are based on the RXv3 core with a performance score of 355 CoreMark @ 64MHz, which is “2.5 times higher than competing 64 MHz class MCUs.” The chips are also power-efficient, with a consumption rate of 69μA/MHz during active operation and 1μA only in standby mode. According to Renesas, the chips are up to 25% more efficient in active mode and 87% more efficient in standby mode than other 64 MHz class MCUs. Another competing factor is the onboard 8KB of data flash, eliminating the need for external EEPROM. The RX260 and RX261 Group MCUs support noise- and water-resistant capacitive touch via Renesas’ third-generation capacitive touch IP (CTSU2SL). They also integrate an “automatic judgment function” that […]
Raspberry Pi AI HAT+ features Hailo-8L or Hailo-8 AI accelerator with up to 26 TOPS of performance
The Raspberry Pi AI HAT+ is a PCIe expansion board for the Raspberry Pi 5 with either a 13 TOPS Hailo-8L or 26 TOPS Hailo-8 AI accelerator. You may remember the Raspberry Pi AI Kit was introduced last June with an official M.2 Key M HAT+ and a 13 TOPS Hailo-8L M.2 AI accelerator module, The new Raspberry Pi AI HAT+ is quite similar except the chip is soldered on the expansion board and offered with either Hailo-8L or the more powerful Hailo-8 variant. Raspberry Pi AI HAT+ specifications: Supported SBC – Raspberry Pi 5 AI accelerator Hailo-8L AI accelerator with up to 13 TOPS of performance Hailo-8 AI accelerator with up to 26 TOPS of performance Host Interface – PCIe Gen3 interface 16mm stacking GPIO header PCIe FPC cable Spacers and screws enabling fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler Dimensions – 65 x 56.5 mm […]
Renesas CCE4511 IO-Link master IC and ZSSC3286 IO-Link sensor signal conditioner IC are designed for industrial sensors and actuators
Renesas has recently introduced the CCE4511 four-channel IO-Link master IC and the ZSSC3286 IO-Link-ready dual-channel sensor signal conditioner IC along with their development boards designed for harsh industrial environments. The CCE4511 master IC supports four channels with 500mA driving current, overvoltage detection, and overcurrent protection, Additionally, it has an integrated IO-Link Frame Handler that reduces microcontroller load. The ZSSC3286on is the first sensor signal conditioner with an integrated IO-Link compliant stack, meaning you don’t need a separate microcontroller for signal handling. Additionally, it features 24-bit ADCs and advanced diagnostic functions for advanced tasks. Both products are optimized for industrial automation, offering energy efficiency, smaller PCB sizes, and robust system diagnostics. CCE4511 IO-Link master and ZSSC3286 sensor signal conditioner IC Specifications CCE4511 IO-Link master Main Chip – CCE4511 4-Channel IO-Link Master PHY with integrated Frame Handler Number of Channels – 4 IO-Link master channels Frame Handler – Hardware frame handler for […]
Banana Pi BPI-M1S RK3528 SBC features HDMI 2.0, 2.5GbE, WiFi 6, and more
The Banana Pi BPI-M1S, also known as the ArmSoM-Sige1, is a low-profile single board computer (SBC) based on the Rockchip RK3528 quad-core Cortex-A53 SoC initially designed for entry-level 4K TV boxes. Contrary to the two other RK3528(A) SBCs we’ve covered, namely the Radxa Rock E20C and FriendlyELEC NanoPi Zero2 focusing on low-cost and small footprint for headless networked applications, the Banana Pi BPI-M1S integrates more features such as HDMI 2.0 for 4K video output and audio, 2.5GbE and WiFi 6 networking, and a 40-pin GPIO header for expansion. Banana Pi BPI-M1S specifications: SoC – Rockchip RK3528 CPU – Quad-core Arm Cortex-A53 @ 2.0 GHz GPU – Arm Mali-G450 GPU with support for OpenGL ES1.1, ES2.0, and OpenVG 1.1 APIs VPU H.264, H.265, and AVS2 decoder up to 4Kp60 H.264 and H.265 encoder up to 1080p60 Memory – 4GB LPDDR4x Storage 32GB eMMC flash (by default) MicroSD card slot Video Output – […]
MentorPi is a ROS2-compatible, Raspberry Pi 5-based robot car with Mecanum or Ackermann chassis
MentorPi is a ROS2-compatible robot car powered by the Raspberry Pi 5, designed for AI-driven robotics and Python programming. It offers two chassis options: MentorPi-M1, which features a Mecanum-wheel chassis, and MentorPi-A1, equipped with an Ackermann chassis. Both variants come with high-performance components such as closed-loop encoder motors, STL-19P TOF lidar, 3D depth cameras, and high-torque servos. These enable precise navigation, SLAM mapping, path planning, and dynamic obstacle avoidance, making MentorPi an ideal platform for robotics tasks. The system utilizes a dual-controller architecture to optimize performance. The Raspberry Pi 5 handles AI vision processing and strategic functions, while Hiwonder’s RRC Lite expansion board manages motion control and sensor data processing. This task distribution enhances efficiency in machine vision, AI-powered navigation, and robotic control, allowing MentorPi to tackle complex AI and vision-based applications with ease. MentorPi also supports advanced features like 3D visual mapping and YOLOv5-based object detection for recognizing road […]
EBL MP1000 Review – A 1000W portable AC/DC power station with solar panels
Hey, Karl here and I am getting old. I guess middle age is more accurate. Two wonderful kids and I want to stick around for a while. I have not been feeling well and as a result, I picked up strength training as a form of exercise. I started with an adjustable bench and a set of adjustable dumbbells. I trained with them for about 3 months in my office. I had just enough space. I was hooked. I dove in and learned as much as I could on current best practices, and developed a spreadsheet for tracking progress. I started to outgrow the 55lb/25kg adjustable dumbbells with several exercises and the next step was a squat rack, bar, and Olympic weights. My problem was the lack of space. I had a building that was poorly organized. After a bit of organizing, I was able to carve enough space for […]
ESP32-S3 board features 1.91-inch AMOLED display and QMI8658 6-axis motion sensor
Waveshare has launched an ESP32-S3 1.91-inch AMOLED development board with a 6-axis motion sensor designed for the rapid prototyping of IoT and portable projects with interactive displays. The board is built around the ESP32-S3R8 chip, featuring a 32-bit LX7 dual-core processor running at up to 240MHz, with integrated 2.4GHz Wi-Fi and Bluetooth BLE 5. It also includes 16MB Flash, 8MB PSRAM, 512KB SRAM, and 384KB ROM for efficient processing and memory management. At the core of its display capabilities is a 1.91-inch AMOLED screen with a 240×536 resolution, supporting 16.7 million colors. Powered by the RM67162 controller and connected via the QSPI interface, the display is ideal for running GUI applications like LVGL. The board is available in both touch and non-touch versions, with the touch-enabled models using the FT3168 touch IC. Other features include a QMI8658 6-axis IMU, a microSD card slot, and a Lithium battery header. The ESP32-S3 […]