Waveshare has recently released the ESP32-P4-WIFI6-Touch-LCD, a family of tablet-like, fully enclosed HMI display development boards built around the ESP32-P4 SoC. The company offers 7-inch, 8-inch, or 10.1-inch configurations, all designed for industrial HMI, smart home terminals, and edge AI applications. Since the ESP32-P4 does not include built-in wireless connectivity, Waveshare has integrated an ESP32-C6-MINI module for WiFi 6 and Bluetooth 5 (LE) support. The board also leverages the ESP32-P4’s peripherals for MIPI CSI/DSI interfaces, a 5MP camera, and various I/Os, including USB 2.0 OTG and USB-to-UART Type-C ports, an SDIO 3.0 microSD card slot, dual microphones with echo cancellation, a speaker driven by an onboard audio codec, GPIO expansion headers, and optional battery support. Waveshare ESP32-P4-WIFI6-Touch-LCD specifications: Wireless module – ESP32-P4-Core SoC – Espressif Systems ESP32-P4NRW32 CPU Dual-core 32-bit RISC-V HP (High-performance) CPU @ up to 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core […]
Jetway P150CDN1 – A 15-inch Alder Lake-N fanless industrial panel PC with 8 USB ports for kiosk and HMI
The Jetway P150CDN1 is a 15-inch fanless industrial touch panel PC built around the Intel N97 (Alder Lake-N) quad-core processor and designed for HMI, kiosks, factory automation, retail, healthcare, and other space-constrained or hygiene-sensitive environments. The industrial touch panel PC features a 10-point capacitive touchscreen, HDMI 2.0 and DP 1.2 video outputs, DDR5 memory, M.2 and SATA storage, audio, dual Gigabit Ethernet, eight USB 3.2 and USB 2.0 ports, as well as RS-232/485 DB9 serial ports. The device has an operating temperature range of –10°C to 60°C, and the enclosure supports wall, panel, and VESA mounting for industrial and commercial touchscreen deployments. Jetway P150CDN1 specifications: SoC – Intel Processor N97 CPU – Quad-core Alder Lake N-series processor up to 3.6 GHz with 6MB cache GPU – 24EU Intel UHD Graphics Gen 12 @ 1.2 GHz TDP: 12W System Memory – Up to 32GB DDR5-4800 SO-DIMM memory via a single SO-DIMM (Note: […]
NanoPC-T6 Plus Rockchip RK3588 SBC switches from LPDDR4x to LPDDR5 (up to 32GB)
It’s been a while since FriendlyELEC has released a board, and the NanoPC-T6 Plus SBC is more of a variant of the NanoPC-T6 and NanoPC-T6 LTS rather than a really new board. It’s still based on a Rockchip RK3588 octa-core SoC, and equipped with two HDMI 2.1 ports, an HDMI input port, MIPI DSI/CSI interfaces, two 2.5GbE ports, and M.2 sockets for NVMe SSD and wireless, among other features. The main change appears to be that the new model is now offered with up to 32GB LPDDR5 rather than up to 16GB LPDDR4x in the previous models. It’s closer to the NanoPC-T6 LTS, although it now supports two analog microphones instead of just one, and restores the M.2 Key-B socket for optional 4G LTE connectivity found in the original NanoPC-T6. The 10-pin UART + 2x USB 2.0 header found in the LTS variant gives way to a 3-pin UART debug […]
XIAO ESP32-C5 – A tiny USB-C IoT board with dual-band WiFi 6, Bluetooth 5.0 LE, Zigbee, and Thread connectivity
Seeed Studio has just added a new member to its XIAO USB-C board family with the XIAO ESP32-C5 offering dual-band WiFi 6 (2.4 and 5.0 GHz), as well as Bluetooth 5.0 LE, Zigbee, and Thread connectivity for IoT projects and products. It still features a u.FL antenna connector, Reset and Boot buttons, two 7-pin GPIO headers, and 8 pads for JTAG or GPIOs on the back. Compared to the earlier XIAO ESP32C6, the new model is clocked higher (240 MHz vs 160 MHz), supports dual-band Wi-Fi, and offers more memory (384KB SRAM + 8 MB PSRAM vs 512KB SRAM) and storage (8MB vs 4MB flash), but exposes fewer analog pins (5 vs 7). XIAO ESP32-C5 specifications: Wireless MCU – Espressif Systems ESP32-C5HR8 CPU Single-core 32-bit RISC-V processor @ up to 240 MHz Low-power RISC-V core @ 48 MHz acting as the main processor for power-sensitive applications Memory – 384 KB […]
ESP32-S3 multi-radio Smart Home gateway features Ethernet, Zigbee, Thread, Z-Wave, Wi-Fi, BLE, and optional 4G LTE connectivity
SMLIGHT SLZB-Ultima is an ESP32-S3-based, multi-radio smart-home gateway with dual Zigbee/Thread radios, optional Z-Wave 800, Wi-Fi, Bluetooth LE, Ethernet with PoE, USB host expansion, and optional 4G LTE connectivity designed for advanced Home Assistant and DIY applications. The device also integrates an IR receiver and transmitter for controlling legacy appliances, GPIO and I²C for hardware expansion, a buzzer, physical buttons, service LEDs, and 12 on-board WS2812B RGB LEDs on the front for status indication. These features make it suitable for an all-in-one smart-home and IoT gateway rather than a simple coordinator. SMLIGHT SLZB-Ultima specifications: Main SoC – ESP32-S3 CPU – Dual-core LX7 microprocessor @ up to 240 MHz with Vector extension for machine learning Wireless – WiFi 4 and Bluetooth 5 with LE/Mesh Audio – Built-in buzzer and optional microphone for ESPHome Voice Assist Networking Wireless Dual Zigbee / Thread radios (Texas Instruments CC2674P10 + Silicon Labs EFR32MG24) Wi-Fi 802.11 b/g/n […]
Geniatech introduces SMARC and OSM system-on-modules powered by NXP i.MX 95 SoC
Geniatech has released two new System-on-Modules (SoMs) powered by the NXP i.MX 95 Edge AI application processor: the OSM 1.1 Size L-compliant SOM-iMX95-OSM and the SMARC 2.1-compliant SOM-iMX95-SMARC. Both ship with up to 16GB LPDDR5 and up to 128GB eMMC flash, and are designed for markets such as smart retail, industrial automation, intelligent transportation, medical devices, and commercial IoT. Geniatech SOM-iMX95-SMARC SOM-iMX95-SMARC specifications: SoC – NXP i.MX 95 CPU Up to 6x Arm Cortex-A55 application cores clocked at 1.8 GHz with 32KB I-cache and D-cache, 64KB L2 cache, and 512KB L3 cache 1x Arm Cortex-M7 real-time core clocked at 800 MHz 1x Arm Cortex-M33 safety core clocked at 333 MHz GPU – Arm Mali-G310 V2 GPU for 2D/3D acceleration with support for OpenGL ES 3.2, OpenCL 3.0 VPU 4Kp30 H.265 and H.264 encode and decode JPEG Encoder, JPEG Decoder AI Accelerator – NXP eIQ Neutron 2 TOPS neural processing […]
Raspberry Pi AI HAT+ 2 targets generative AI (LLM/VLM) with Hailo-10H accelerator
The Raspberry Pi AI HAT+ 2 is an add-on board based on the 40 TOPS Hailo-10H AI accelerator with 8GB of dedicated on-board RAM that brings generative AI capability to Raspberry Pi 5. While it delivers similar computer vision performance as the first-generation Hailo-8-based Raspberry Pi AI HAT+, the AI HAT+ 2 also adds support for large language models (LLMs) and vision-language models (VLMs) running locally without the need for Internet access. Target applications include offline process control, secure data analysis, facilities management, and robotics. Raspberry Pi AI HAT+ 2 specifications: AI accelerator – Hailo Hailo-10H AI accelerator delivering 40 TOPS (INT4) inferencing performance Performance for computer vision models comparable to the Raspberry Pi AI HAT+ (26 TOPS) 8GB on-board RAM Host interface PCIe Gen3 x1 FPC connector to Raspberry Pi 5 40-pin GPIO header (no signal used by the Hailo-10H, it only extends the GPIO header on the Pi) […]
reComputer Industrial R2135-12 review – A Raspberry Pi CM5-powered fanless Edge AI PC with Hailo-8 AI accelerator
Hello, today I am going to review the reComputer AI Industrial R2135-12 from Seeed Studio. This is an industrial edge computer built around the Raspberry Pi Compute Module 5 platform. The model is configured with 8 GB LPDDR4 memory and 32 GB eMMC storage. It provides a rich set of I/O options, including dual Gigabit Ethernet, USB 3.0/USB 2.0, HDMI output, and industrial interfaces such as RS-485/RS-232, CAN, and GPIO, along with Wi-Fi and Bluetooth support and a wide DC power input range suitable for industrial environments. In addition to standard checking and benchmarking the device, I will also include a hands-on demo application in which the system runs an AI model for real-time people detection from a USB camera, then sends detection results to an external ESP32 microcontroller to drive LED matrices for visually highlighting the locations of detected people. I made the following YouTube video to quickly demonstrate […]

