Avalue EMS-ARH is a fanless industrial PC that supports “Arrow Lake-H” Core Ultra 7 and Core Ultra 5 processors with wide temperature tolerance, and various I/O options. This compact PC is suitable for industrial, medical, and transportation environments that require silent operation. The system supports up to 64GB of DDR5-6400 memory via two SO-DIMM slots, NVMe SSD using an M.2 Key-M socket, and wireless or cellular via M.2 Key-E and Key-B slots with SIM support. Additionally, it features two 2.5GbE ports, multiple USB 3.2 and USB 2.0 ports, two RS-232/422/485 serial interfaces, 8-bit GPIO, and triple 4K display output via DisplayPort 1.4 and dual HDMI 2.0b. It supports a wide 9-36V DC input, an IET expansion interface (see below for details), and a fanless design for harsh edge deployments. Avalue EMS-ARH specifications: Arrow Lake SoC (one or the other) Intel Core Ultra 5 225H 14-core (4P + 8E + 2LPE) Arrow Lake processor […]
Congatec conga-TCRP1 COM Express Type 6 module features AMD Ryzen AI Embedded P100 SoC with 50 TOPS NPU
Congatec conga-TCRP1 is a COM Express 3.1 Type 6 Compact module powered by the newly announced AMD Ryzen AI Embedded P100 Series processors, which feature AMD’s latest Zen 5 architecture, RDNA 3.5 graphics, and an XDNA 2 NPU for 59 TOPS of combined AI performance, including up to 50 TOPS from the NPU. The module supports up to 96 GB of DDR5-5600 memory and is available in 4-core and 6-core variants with a configurable 15 W to 54 W TDP, allowing both passive and active cooling designs. It supports up to four independent displays, offers PCIe Gen4 and PEG x4 expansion, and includes 2.5 GbE, USB 3.2 Gen 2, and USB 2.0 ports, along with SATA or optional onboard NVMe storage options. Additional features include TPM 2.0, UEFI firmware, and hardware monitoring. The module is available in both commercial and industrial variants with operating temperatures down to -40 °C, which […]
Lanner EAI-I351 – An NVIDIA Jetson Thor Edge AI computer with 100GbE QSFP28 port and 8x GMSL2 camera
Lanner EAI-I351 is a rugged edge AI computer built around the NVIDIA Jetson Thor platform, featuring a 100GbE QSFP28 port for high-bandwidth networking and 8x GMSL2 camera inputs for low-latency vision processing. The system supports up to 128 GB of 256-bit LPDDR5X memory, features up to four 25GbE lanes via a QSFP28 port, a 5GbE RJ45 port, HDMI 2.0, four USB 3.2 Gen1 ports, two RS232/422/485 serial interfaces with optional CANBus, digital I/Os, and audio interfaces. Three expansion sockets are offered with an M.2 NVMe slot, an M.2 E-Key for Wi-Fi/Bluetooth, and an M.2 B-Key for 4G LTE/5G cellular with dual Nano-SIM support. Designed for industrial deployments, the embedded computer can operate in a –25°C to 70°C temperature range and takes 24V/48V DC power input. It targets robotics, smart manufacturing, and autonomous systems such as collaborative robots, AMRs, and machine-vision-based factory automation. Lanner EAI-I351 specifications: Supported system-on-module – NVIDIA Jetson […]
Meterbit Pixlpal – An open-source ESP32-S3 smart display with 128×64 RGB LED matrix, Hi-Fi audio output (Crowdfunding)
Designed by Meterbit Cybernetics in Nigeria, the Pixlpal is an open-source, ESP32-S3-based 11.25-inch 128×64 RGB LED matrix display designed as a customizable ticker for news, crypto, and smart home notifications, while also offering Hi-Fi audio playback. The device also includes a multi-function rotary encoder for local control, a digital MEMS microphone, and a 3.5 mm headphone output driven by a TI PCM5102A DAC for Hi-Fi audio playback. Pixlpal also provides a USB Type-C OTG port for power and programming, and a USB Type-A adapter port for firmware updates and peripherals. The device targets Smart Home dashboards, desktop information displays, and educational or maker-focused IoT applications. Pixlpal specifications: Wireless Module – Espressif Systems ESP32-S3-WROOM-1 SoC – ESP32-S3 CPU – Dual-core Tensilica LX7 up to 240 MHz with vector extension for AI/ML workloads Memory – 512KB SRAM Storage – TBD Wireless – WiFi 4 802.11b/g/n and Bluetooth 5.0 LE PCB antenna Display – […]
Hiwonder WonderLLM – An ESP32-S3 smart chat module with 2-inch touch display, 2MP camera, and dedicated voice chip
Hiwonder has introduced the WonderLLM, an ESP32-S3-based smart chat module that combines a 2MP camera, a 2.0-inch touch display, a speaker, and a microphone array to support both offline computer vision tasks and cloud-based Large Language Models (LLMs) via the XiaoZhi AI platform. The device ships with a dedicated voice chip (CI1302) that enables always-on wake-word detection, and a 4-pin I2C interface allows it to act as a smart vision/voice sensor for external controllers like Arduino, STM32, or other ESP32 boards. Typical applications include small robots, STEM education kits, interactive assistants, and vision-enabled projects where this device handles perception and interaction, and another MCU manages motion and control logic. Hiwonder WonderLLM specifications: Wireless Module – ESP32-S3-WROOM-1 SoC – Espressif Systems ESP32-S3 CPU – Dual-core Tensilica LX7 up to 240 MHz with vector extension for AI/ML workloads RAM – 512KB SRAM Storage – TBD Wireless – WiFi 4 and Bluetooth LE 5 […]
Innodisk EXEC-Q911 COM-HPC Mini kit is powered by a Qualcomm Dragonwing IQ-9075 Edge AI SoC
Innodisk has recently introduced the EXEC-Q911, a COM-HPC Mini starter kit designed for edge AI applications powered by a Qualcomm Dragonwing IQ-9075 System-on-Chip (SoC), also known as the QCS9075, which delivers up to 200 TOPS of AI performance. The platform includes 36GB LPDDR5X memory and 128GB UFS 3.1 storage, supports dual 2.5GbE, two 4-lane MIPI CSI-2 camera interfaces, DisplayPort 1.2 and eDP outputs, and multiple expansion options via M.2 (PCIe Gen4 x4/x2) slots. Designed for industrial applications, it operates in a wide -40°C to 85°C operating temperature range, accepts 9–36V DC input, integrates TPM 2.0 security, and offers various I/Os, USB 3.2 Gen 2, CAN FD, RS-232/422/485, GPIO, SPI, and I²C, with longevity guaranteed until 2038. Innodisk EXEC-Q911 specifications: Compute-on-Module – Innodisk EXMA-Q911 COM-HPC Mini module SoC – Qualcomm DragonWing IQ-9075 CPU Octa-core Kryo Gen 6 (Cortex-A78C-based) application cores @ up to 2.36 GHz Quad-core Cortex-R52 real-time cores @ up […]
Raspberry Pi CM5-based outdoor PoE security camera features 12.3 MP IMX500 sensor, IP66 enclosure
Arducam recently launched the All-in-One Raspberry Pi AI Camera Kit with CM5, a Raspberry Pi CM5-based PoE outdoor security camera featuring a 12.3MP Sony IMX500 AI vision sensor housed in an IP66-rated enclosure. The camera combines pixel-level sensing and AI inference on a single chip, reducing the need for cloud processing while improving efficiency and privacy. The security camera supports operation from -20°C to +75°C, although image stability is only guaranteed in the 0 to 50°C range, potentially making it unsuitable for locations where temperatures drop below freezing. It can be used for perimeter security, construction site safety monitoring, traffic and parking enforcement, and public-space crowd analytics. All-in-One Raspberry Pi AI Camera Kit specifications SoM – Raspberry Pi Compute Module 5 (CM5) by default CM5004016 with 4GB RAM, 16GB eMMC Flash, no Wi-Fi and Bluetooth Image Sensor 12.3MP Sony IMX500 Intelligent Vision Sensor (as found on the Raspberry Pi AI camera) […]
ACEBOTT QD023 ESP32-based gesture control glove tracks finger movements with potentiometers
ACEBOTT QD023 is an ESP32-based wearable gesture control glove that tracks finger movements with potentiometers instead of more traditional flex sensors. The glove transmits data via Bluetooth Low Energy (BLE) to control various robotics kits, such as bipedal walkers, mecanum-wheeled cars, and robotic arms. The glove integrates five potentiometers for finger bending detection, and a 6-axis MPU6050 IMU for wrist rotation, tilt, and hand posture detection in real time. Other Hardware features include a USB Type-C port for programming and debugging, four AAA batteries for power, buttons, LEDs, and more. Tutorials and assembly guides make it suitable for K-12 education, classrooms, and hobbyist robotics projects. ACEBOTT QD023 specifications: Wireless Module – ESP32-WROOM-32D (soldered on the backside of the PCB) SoC – ESP32 dual-core wireless microcontroller CPU – Dual-core Xtensa 32-bit microprocessor @ 240MHz Memory – 520KB internal SRAM Wireless – Wi-Fi 802.11b/g/n, and Bluetooth (4.2 and BLE) PCB antenna USB – […]









