Microchip has introduced its first 64-bit RISC-V microprocessor family with the PIC64GX pin-to-pin compatible with the company’s PolarFire SoC FPGA devices and designed for edge designs for the industrial, automotive, communications, IoT, aerospace, and defense segments. The PIC6GX MPU supports asymmetric multiprocessing (AMP) to run Linux, real-time operating systems, and bare metal in a single processor cluster with secure boot capabilities. The company further claims the PIC64GX MPU is “the first RISC-V multi-core solution that is AMP capable for mixed-criticality systems”. The first member of the PIC64GX RISC-V family is the PIC64GX1000 microprocessor. Microchip PIC64GX1000 specifications: CPU Quad-core SiFive U54 64-bit five-stage, single-issue, in-order pipeline RISC-V (RV64GC) processor at up to 625 MHz with AMP and deterministic latencies, PMP and MMU units Single-core SiFive E51 64-bit RISC-V (RV64IMAC) monitor processor core at up to 625 MHZ with PMP unit Cache L1 memory subsystem with Single-Error Correct, Double-Error Detect (SECDED) Flexible […]
WisGate Soho Pro RAK7267 LoRaWAN gateway supports LTE Cat 1 and WiFi 4 connectivity, solar battery kits
Designed for both indoor and outdoor deployments, RAKwireless’ WisGate Soho Pro RAK7267 is an 8-channel LoRaWAN gateway with LTE Cat 1 and WiFi 4 connectivity and support for 9V-36V DC input compatible with the company for solar battery kits. The LoRaWAN gateway is based on the MediaTek MT7628 MIPS processor with 256MB RAM and 32MB flash, runs a fork of OpenWrt with a dashboard for configuration, and integrates with WisDM cloud-based IoT management platform. WisGate Soho Pro RAK7267 specifications: SoC – MediaTek MT7628 MIPS processor at 580MHz System Memory – 256MB RAM Storage – 32MB NOR flash, microSD card socket LoRaWAN connectivity to sensors Semtech SX1303 LoRa Concentrator for up to 8 channels Frequencies 868 MHz – EU868/ IN865/ RU864 9150 MHz – US915/ AU915/ KR920/ AS923 Rx Sensitivity – At least -139 dBm Tx Power – Up to 27 dBm LoRaWAN v1.0.3 LoRa Frame filtering (node whitelisting) Buffering of […]
Infineon CY8CKIT-062S2-AI PSoC 6 Edge AI evaluation kit features multiple sensors, Arduino headers, Pmod connectors
Infineon CY8CKIT-062S2-AI evaluation kit is a hardware platform built around the PSoC 6 family of MCUs and designed to help developers easily create and test edge AI applications. The dev board features an array of sensors including radar, microphone, magnetometer, IMU, and an air pressure sensor, which make it easy for data collection applications. The board also features Wi-Fi and Bluetooth connectivity and includes an additional expansion header that can be used to connect other modules and sensors. All of these features make this board useful for building a wide range of AI-powered applications, including smart home automation, industrial monitoring, wearables, healthcare devices, and robotics. Previously we have written about similar low-power edge AI modules such as the Digi ConnectCore MP25, the Axiomtek AIE110-XNX, and the Arducam KingKong feel free to check those out if you are interested in such low-power modules. Infineon CY8CKIT-062S2-AI Evaluation Kit specifications: MCU – Infineon […]
Zigbee Coordinator CC2652P7 1.0 runs open-source firmware, works with Zigbee2MQTT, Home Assistant, and ioBroker
The cod.m Zigbee Coordinator 1.0 (CZC 1.0) is a hybrid ZigBee coordinator that can be used to connect devices over a network (Ethernet/Wi-Fi) and USB. The ZigBee Coordinator version 1.0 is an upgrade of version 0.2 released in 2022. The CZC 1.0 replaces the Texas Instruments CC2652P2 chip with the much more powerful CC2652P7 chip, uses an ESP32-WROOM-32E module instead of the USR-K6 chip, and adds compatibility with Home Assistant (ZHA integration). It can create a Zigbee network and pair Zigbee devices over Ethernet, WiFi, or Serial (USB). It features the same Texas Instruments CC2652P7 chip as the SMLIGHT line of Zigbee Ethernet/WiFi/USB coordinators and USB dongles. There are two models of the CZC 1.0: a Power over Ethernet model and a model that can only be powered via USB-C. cod.m Zigbee Coordinator specifications: Zigbee SoC – Texas Instruments CC2652P7 Arm Cortex-M4F microcontroller @ 48 MHz with 704 KB flash, […]
Quectel FLM263D 2.4 GHz WiFi 6 and BLE 5.2 RISC-V module supports Amazon Alexa Connect Kit (ACK) SDK for Matter
Quectel Wireless FLM263D is a standalone WiFi 6 and Bluetooth 5.2 LE module with a 320 MHz RISC-V microcontroller that supports Alexa Connect Kit (ACK) SDK for Matter for connectivity with Amazon Alexa, Google Home, Samsung SmartThings, Apple HomeKit, and other Matter-compliant Smart Home devices. The module also implements security standards such as secure boot and Mbed TLS encryption. The FLM263D offers certifications such as Works with Alexa (WWA) and supports features such as Matter Simple Setup (MSS) that allows zero-touch setup of Matter-compliant smart home devices through Alexa. Quectel FLM263D specifications: MCU – RISC-V wireless microcontroller up to 320 MHz, with 512KB SRAM and 4MB flash (likely Beken BK7235) Wi-Fi 6 & BLE 5.2 WLAN Protocol – IEEE 802.11b/g/n/ax Wi-Fi Frequency Band – 2.4 GHz Wi-Fi Modulation Mode – CCK, BPSK, QPSK, 16QAM, 64QAM Wi-Fi Operating Mode – AP, STA, STA + AP WiFi Rx sensitivity – Up to […]
LILYGO T-Energy-S3 ESP32-S3 board offers 18650 battery holder, two 20-pin GPIO headers
LILYGO T-Energy-S3 is an ESP32-S3 WiFi and Bluetooth IoT board with an 18650 battery holder, a USB-C port for charging and programming, and plenty of I/Os thanks to two 20-pin GPIO headers and a Qwiic connector. We’ve already covered a large number of ESP32-S3 boards and products, including some designs for battery operation such as the Tokay Lite AI camera board, LILYGO’s T7-S3 board, and Smart Bee Designs’ Bee S3 board among others. But that usually means providing a 2-pin connector and charging circuitry to connect a LiPo battery, but the T-Energy-S3 ESP32-S3 board works directly with an off-the-shelf 18650 rechargeable Lithium battery. T-Energy-S3 specifications: Wireless Module – ESP32-S3-WROOM-1-N16R8 Espressif Systems ESP32-S3R8 – Dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration, 512KB RAM, 8MB PSRAM Storage – 16 MB flash Wireless – 2.4 GHz WiFi 4 and Bluetooth PCB antenna USB – 1x USB […]
M5Stack M5PoECAM-W V1.1 – A ESP32-powered PoE camera module with 3MP OV3660 sensor
M5Stack M5PoECAM-W V1.1 is a PoE camera module built around the Espressif ESP32 MCU and WIZnet W5500 Hardwired TCP/IP embedded Ethernet controller. The W5500 along with a PoE controller takes care of ethernet and PoE power whereas the 3MP OV3660 sensor is responsible for video and photos. The camera features a wide 65° field of view which makes it suitable for applications like image monitoring and remote data acquisition. Previously we have covered similar camera modules like the LILYGO T-Camera-Plus-S3, Sipeed MaixCAM, and Luxonis OAK-D Series 2 cameras with the latter also having a PoE option. Feel free to check those out if you are interested in the topic. M5Stack M5PoECAM-W V1.1 specifications ESP32-D0WDQ6-V3 wireless module SoC – Espressif ESP32-D0WDQ6-V3 CPU – dual-core Xtensa LX6 processor clocked at up to 240MHz Memory – 520KB SRAM Connectivity – 2.4 GHz 802.11n WiFi 4 and Bluetooth v4.2 BR/EDR and BLE Memory – […]
Luckfox Pico Ultra micro development board features MIPI CSI, WiFi 6, Ethernet, PoE, GPIO headers, and more
The Luckfox Pico Ultra is a Rockchip RV1106-based Linux micro development board with a MIPI CSI port, an Ethernet port, and a 0.5 Tops NPU to run AI and image processing applications. Additionally, it features a speaker header, RGB LED header, GPIO, UART, SPI, I2C, USB, and much more. Waveshare also offers a “W” version of the Pico Ultra with built-in 2.4 GHz Wi-Fi 6 and Bluetooth 5.2. If you want to add PoE support, you can connect to the board with a separate PoE module. Luckfox Pico Ultra Specifications SoC – Rockchip RV1106G3 CPU – Arm Cortex A7 @ 1.2GHz with an integrated RISC-V co-processor. NPU– 0.5 TOPS, supports INT4/INT8/INT16, TensorFlow/MXNet/PyTorch/Caffe/Onnx NN ISP – 5MP high-performance, HDR, WDR, 3DNR, 2DNR, sharpening, defogging, fisheye and gamma correction, feature detection VPU – 3072×1728 (5M) @ 30fps H.265/H.264 encoding, 16M @ 60FPS JPEG snapshot System Memory – 256MB DDR3L Storage – 8GB eMMC flash Display Interface – […]