CamThink NeoEyes NE101 is a battery-powered, low-power Vision AI Camera powered by an ESP32-S3 wireless module, featuring event-triggered image capture, and suitable for real-time vision control. By default, the camera supports WiFi 4 and Bluetooth 5.0 connectivity, and ships with a 5MP OV5640 camera module with an LED flash. However, the ESP32-S3 camera has a modular design, and it is offered with 4G LTE Cat 1 or WiFi HaLow connectivity, supports replaceable lenses, optional housing, and custom mounting options. CamThink NeoEyes NE101 specifications: Wireless Module – ESP32-S3-WROOM-1 MCU – ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, up to 8MB PSRAM Storage – 16MB flash Wireless – WiFi 4 and Bluetooth LE 5 PCB antenna Optional wireless features NE101-L01GL – LTE Cat 1 with global support NE101-HL00 – WiFi HaLow 868 MHz NE101-HL01 – WiFi HaLow 915 MHz Storage – MicroSD card slot Camera FPC camera connector […]
ASRock Industrial unveils DSC-NV003-WT NVIDIA Jetson AGX Orin Developer Kit
ASRock Industrial DSC-NV003-WT is an NVIDIA Jetson AGX Orin Developer Kit designed for edge AI, robotics, drones, Smart Cities, and advanced industrial applications with a wide operating temperature range (-25 to 50°C) and up to 275 TOPS of AI processing power. The solution is offered with NVIDIA Jetson AGX Orin Series (Industrial/64GB/32GB), supports up to four 4-lane MIPI or GMSLII cameras, and 12 PoE ports for computer vision applications. It also includes two PCIe Gen4 x8 slots, one M.2 Key M/B/E expansion slot for storage, 5G/4G LTE cellular, and Wi-Fi connectivity. ASRock Industrial DSC-NV003-WT specifications: System-on-Module (one or the other) NVIDIA Jetson AGX Orin Industrial (JAOi) SoC – Ampere GPU + Arm Cortex-A78AE CPU System Memory – 64GB 256-bit LPDDR5 (+ECC) Storage – 64GB eMMC 5.1 flash NVIDIA Jetson AGX Orin 64GB (JAO 64GB) SoC – Ampere GPU + Arm Cortex-A78AE CPU System Memory – 64GB 256-bit LPDDR5 Storage – […]
Renesas R8P1 – A 1 GHz Arm Cortex-M85 microcontroller with Ethos-U55 NPU for Audio and Vision AI applications
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 @ […]