Renesas has introduced its most powerful Cortex-A85 microcontroller to date: the R8P1, clocked at 1 GHz and equipped with a 500 MHz Arm Ethos-U55 NPU for edge AI applications, as well as an Arm Cortex-M33 real-time core clocked at 250 MHz. With a 2D GPU, MIPI DSI and parallel RGB display interfaces, MIPI CSI and parallel camera interfaces, and I2S and PDM audio interface, the Renesas RA8P1 is mainly designed to address Voice AI and Vision AI applications requiring real-time analytics. The 1 GHz microcontroller also has plenty of other peripherals and security features, as we can see from the specifications and block diagram below. Renesas RA8P1 specifications: MCU core Arm Cortex-M85 clocked at 1 GHz with Helium MVE (M-Profile Vector Extension) with 32KB I/D caches; 7300+ CoreMarks Arm Cortex-M33 clocked at 250 MHz with 32KB I/D caches GPU – 2D drawing engine NPU – Arm Ethos-U55 NPU delivering 256 […]
D-Robotics RDK X5 development board features Sunrise X5 octa-core SoC with 10 TOPS BPU for ROS projects
The D-Robotics RDK X5 is an upgraded AI development board built around the Sunrise X5 octa-core SoC and designed for more demanding ROS-based applications. Compared to the Sunrise X3-based RDK X3 and Horizon X3 AI development boards, which feature a 4-core CPU and 5 TOPS BPU, the RDK X5 comes with an 8-core Cortex-A55 SoC, a 10 TOPS NPU, and 8GB of RAM, doubling both the AI power and memory for demanding workloads. The board also features various I/O options with Wi-Fi 6, Bluetooth 5.4, CAN FD, and PoE support, whereas the X3 is limited to Wi-Fi 5, Bluetooth 4.2, and optional PoE. The X5 also adds four USB 3.0 ports and 4K 60 FPS video output, making it suitable for complex computer vision, robotics control, and machine learning applications. D-Robotics RDK X5 development board Specifications SoC – Sunrise X5 SoC with 8x Arm Cortex-A55 cores @ 1.5GHz 10 TOPS BPU (Neural Processing […]
reComputer Mini is a compact carrier board for the NVIDIA Jetson Orin Nano/NX module
Seeed Studio’s reComputer Mini is a small carrier board for the NVIDIA Jetson Orin Nano or Jetson Orin NX module that’s barely larger the the system-on-module itself at 88 x 56 x 17mm, or slightly larger than a credit card, and suitable for robotics and drone applications. Despite its small size, the reComputer Mini still offers a good range of interfaces, including two USB 3.2 Type-A ports, a USB Type-C port with DisplayPort alt-mode, M.2 sockets for NVMe storage and wireless expansion, UART and USB JST connectors, and two 60-pin high-speed connectors for add-on boards. The board is compatible with 48V battery power systems thanks to a wide 12V to 54V DC input range through an XT30 power connector. reComputer Mini carrier board specifications: Compatible SoM – NVIDIA Jetson Orin Nano, Jetson Orin NX with up to 100 TOPS of AI performance Storage – M.2 Key-M PCIe socket for M.2 […]
82 x 50mm SoM combines NXP i.MX 8M Mini SoC with 25 TOPS DEEPX DX-M1 AI accelerator
Virtium Embedded Artists has just announced the launch of the iMX8M Mini DX-M1 system-on-module (SoM) combining an NXP i.MX 8M Mini quad-core Arm application processor with a 25 TOPS DEEPX DX-M1 AI accelerator in a compact 82 x 50mm footprint. The NXP SoC is paired with 2GB 32-bit RAM and 16GB eMMC flash, while the DEEPX NPU gets 4GB 64-bit RAM and a QSPI flash. The module also features a PMIC, a gigabit Ethernet PHY, an optional WiFI 6E and Bluetooth 5.4 module, and exposes all I/Os through a 314-pin MXM edge connector. They’ve somehow managed to pack a lot of features into such a small module. iMX8M Mini DX-M1 SOM specifications: SoC – NXP i.MX 8M Mini CPU Quad-core Cortex-A53 processor @ up to 1.6 (industrial) or 1.8 GHz (commercial) Cortex-M4F real-time core @ 400 MHz GPU Vivante GC320 2D GPU Vivante GCNanoUltra 2D/3D GPU with support for OpenVG […]
SolidSense AIoT – An IP64-rated AI vision development platform with Renesas RZ/V2M or Hailo-15 System-on-module
SolidRun SolidSense AIoT is an AI vision development platform designed based on the company’s Renesas RZ/V2N or Hailo-15 system-on-module with 15 TOPS and 20 TOPS of AI performance, respectively. The solution comes with up to 8GB RAM, 256GB eMMC flash, WiFi 5, Bluetooth 5.0, and LTE Cat 1bis connectivity, an 8.4MP Sony IMX678 camera, four IR LEDs, and a few sensors all housed in an IP64-rated enclosure for outdoor operation. The SolidSense AIoT platform takes three 18650 rechargeable batteries with USB-C charging and an optional solar panel. There’s limited information about the Renesas model for now, so we’ll focus on the Hailo-15 variant in the rest of the article. SolidSense AIoT Hailo-15H specifications: System-on-Module – SolidRun Hailo-15 SoM SoC – Hailo-15 CPU – 4 x Cortex A53 @ 1.3GHz; 12 kDMIPS Neural Network Core – 20 TOPS VPU – 4Kp30 H.265/4 video encoder ISP – 12MP System Memory – […]
XIAO Vision AI Camera combines ESP32-C3 and WiseEye2 HX6538 AI MCU with 5MP camera, supports SenseCraft no-code platform
Seeed Studio has recently released the XIAO Vision AI Camera, a compact, open-source smart ESP32-C3 AI Camera that integrates the Grove Vision AI Module V2, a XIAO ESP32C3 module, and an OV5647 5MP camera in a custom 3D-printed PLA case. One of the key components of the camera module is the WiseEye2 HX6538 chip, which features dual-core Arm Cortex-M55 processors and an Ethos-U55 NPU for edge AI computing. It also comes with Wi-Fi connectivity, turning it into an intelligent IP camera that easily integrates with Home Assistant for closed-loop automation (e.g., object detection triggering lights or alerts). Its 5MP OV5647 camera can record 1080p@30fps video and has adjustable focus. These features make this camera useful for industrial automation, smart cities, transportation monitoring, intelligent agriculture, and mobile IoT devices. XIAO Vision AI Camera Specifications Main MCU module – XIAO ESP32C3 SoC – Expressif Systems ESP32-C3 CPU – Single-core RISC-V microcontroller @ […]
Graperain GR3576_CV2 – A Rockchip RK3576 260-pin SO-DIMM SoM with up to 16GB RAM
Graperain GR3576_CV2 is a 260-pin SO-DIMM system-on-module (SoM) powered by a Rockchip RK3576 octa-core Cortex-A72/A53 SoC with a 6 TOPS NPU, and equipped with up to 16GB RAM and 256GB eMMC flash. The module supports up to six different display interfaces from HDMI to EBC for e-Paper displays, three camera inputs, a range of audio inputs and outputs, as well as USB 3.2, PCIe 2.1, and SATA interfaces, and plenty of other I/Os. Graperain GR3576_CV2 specifications: SoC – Rockchip RK3576 CPU – Octa-core CPU with 4x Cortex-A72 cores at 2.2GHz, 4x Cortex-A53 cores at 1.8GHz GPU – Arm Mali-G52 MC3 GPU with support for OpenGL ES 1.1, 2.0, and 3.2, OpenCL up to 2.0, and Vulkan 1.1 NPU – 6 TOPS (INT8) AI accelerator with support for INT4/INT8/INT16/BF16/TF32 mixed operations. VPU Video Decoder H.265, VP9, AV1, and AVS2 up to 8Kp30 or 4Kp120 H.264/AVC and MJPEG up to 4Kp60 Video […]
IBASE EC3100 – A fanless NVIDIA Jetson Orin NX/Nano embedded computer with up to 6x GbE ports (4x with PoE)
IBASE EC3100 is a fanless edge AI computer powered by NVIDIA Jetson Orin NX or Orin Nano module with up to six GbE ports, including four with PoE for cameras, a wide 9V to 36V DC input, and a -20°C to 70°C temperature range for industrial environments. The EC3100 is equipped with a choice of modules from the Jetson Orin Nano 4GB up to the Jetson Orin NX 16GB, delivering a maximum of 157 TOPS of AI performance. The embedded system also features an HDMI 2.1 video output, audio input and output jacks, optional WiFi and/or 4G LTE/5G cellular connectivity, RS232 and CAN Bus DB9 connectors, and several digital inputs and outputs. EC3100 specifications: System-on-Module (one or the other) EC3100-NANO-4 – NVIDIA Jetson Orin Nano 4GB with 8-core Arm Cortex-A78AE CPU @ 1.5 GHz, 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores; 34 TOPS max EC3100-NANO-8 – NVIDIA Jetson […]