IoT News - CNX Software - Embedded Systems News

LILYGO T-Beam 1W – An ESP32-S3 + SX1262 high-power LoRa dev board with 32 dBm output, GNSS support

LILYGO T Beam 1W

The LILYGO T-Beam-1W is an ESP32-S3-based high-power LoRa development board featuring an SX1262 RF transceiver, an onboard 1W power amplifier (32 dBm), a L76K GNSS module, a 1.3-inch SH1106 OLED, a microSD slot, USB-C, Qwiic connectors, and an AXP2101 PMU. The board runs on a 7.4V battery and includes a cooling fan for high-power RF operation. We first wrote about the original LILYGO T-Beam (then branded as TTGO) in 2018, and since then, the company introduced various revisions of the T-Beam as it became popular. The T-Beam 1W is the most powerful version so far, with a built-in 1 Watt amplifier that allows the board to transmit data over longer distances without needing to buy separate, bulky amplifiers. LilyGO T-Beam-1W Specifications: Core module – Espressif Systems ESP32-S3-WROOM-1 SoC – ESP32-S3 CPU – Dual-core LX7 processor with up to 240MHz Memory – 512KB SRAM, 8MB PSRAM Storage – 384KB ROM Wireless – […]

Home Assistant-compatible Makerfabs ESP32-S3-based energy meter features BL0942 energy metering IC

Energy Meter for Home Assistant

The Energy Meter for Home Assistant is an ESP32-S3-based single-phase energy monitoring and control module designed to work with Home Assistant via ESPHome. It measures real-time power and energy consumption and also has a remote on/off control. The device is built around the BL0942 calibration-free energy metering IC, which supports voltage, current, power, and energy measurements with less than 1% error. It operates directly from AC 100–240V, includes an onboard 15A relay for switching loads, and provides electrical isolation for safety. Connectivity is done through USB and Wi-Fi using ESPHome for easy firmware flashing, API encryption, and automatic discovery in Home Assistant. These features make it suitable for smart homes, DIY energy monitoring, smart sockets, home energy dashboards, and automation projects. Energy Meter for Home Assistant specifications: Core 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 […]

Quectel SRG091X and SRG093X NXP i.MX 9 industrial AIoT modules integrates Wi-Fi 6, Bluetooth 5.4, and 802.15.4 radios

Quectel SRG091X and SRG093X NXP i.MX Smart AIoT module

After releasing the very powerful P895BD-AP AIoT module at CES 2026, Quectel now released two new low-power industrial AIoT modules based on NXP’s i.MX 9 series SoCs. The module integrates Wi-Fi 6, Bluetooth 5.4, and 802.15.4 radios through the IW610G chipset, so it can simply be dropped into a PCB to create a fully compliant Matter Border Router without any RF design or coexistence concerns. While both modules share the same 46 x 41.5 mm form factor and wireless capabilities, they are different in terms of  CPU power as the SRG091X is an entry-level solution built around a single-core NXP i.MX 91 processor, while the SRG093X features dual-core NXP i.MX 93 SoC, which includes a Cortex-M33 real-time core and a neural processing unit (NPU) for edge AI workloads. The module supports LPDDR4/LPDDR4X memory, eMMC storage, and various I/O options, including dual Gigabit Ethernet, USB 2.0, CAN-FD, SPI, UART, I²C/I³C, ADC, […]

Quectel SP895BD-AP AIoT module features Qualcomm Dragonwing Q-8750 SoC with 80 TOPS NPU

Quectel SP895BD AP Smart IoT Module

Just yesterday, we wrote about the Qualcomm Dragonwing Q‑7790 and Q‑8750 AIoT SoCs, and on the same day, Quectel launched the SP895BD-AP smart AIoT module based on the Dragonwing Q-8750. It is designed for high-performance IoT applications, including video conferencing, 8K computing power boards, and smart retail terminals, running on Android 15 or Linux. Earlier in November, we saw Qualcomm introduce the Dragonwing IQ-X series of SoCs for industrial PCs running Windows. The Q-8750 in the Quectel SP895BD-AP seems to be a variant of the high-end version, with an 8-core Oryon CPU (up to 2x 4.32 GHz + 6x 3.53 GHz) and an Adreno Series 8 GPU. It supports 8K video encoding and decoding with three ISPs for up to 3×48MP camera inputs, or a single camera input of 108MP. The module comes in a compact LGA package and supports standard interfaces like MIPI DSI/CSI, PCIe, USB, I2S, UART, I²C, […]

ESP32-S3 development board features 4.2-inch Reflective LCD (RLCD), dual microphone array, onboard speaker

ESP32 S3 RLCD Development Board

Waveshare ESP32-S3-RLCD-4.2 is a 4.2-inch Reflective LCD (RLCD) development board built around ESP32-S3 wireless SoC for DIY projects, rapid prototyping, and smart display devices that need a paperlike experience with a higher refresh rate compared to e-paper displays. The ESP32-S3 provides 2.4 GHz Wi-Fi and Bluetooth 5 LE connectivity, and the board also includes a dual microphone array with ES7210 ADC and ES8311 audio codec, as well as an onboard speaker for AI voice interaction. Other features include an SHTC3 temperature and humidity sensor, a PCF85063 RTC, a microSD card slot for storage, along with multiple GPIO, UART, and I²C expansion headers. Power, programming, and battery charging are done through the USB Type-C port connected to an optional 18650 battery. Applications include electronic calendars, desktop displays, voice-based devices, environmental monitoring, and low-power indoor or outdoor display systems. ESP32-S3-RLCD-4.2 specifications Core module – Espressif Systems ESP32-S3-WROOM-1-N16R8 SoC – ESP32-S3 CPU – Dual-core […]

Qualcomm Dragonwing Q‑7790 and Q‑8750 AIoT SoCs target AI-enhanced drones, cameras, TVs and media hubs

Dragonwing Q-7790

Qualcomm has made a range of announcements at CES 2026, and notably introduced the Dragonwing Q‑7790 and Q‑8750 processors supporting on‑device AI for drones, smart cameras & industrial vision, AI TVs/media hubs, and video collaboration systems. The mid-range Dragonwing Q-7790 targets both consumer and industrial IoT devices, and offers up to 24 TOPS of on-device AI, 4K video outputs and camera inputs, and AV1 hardware video decode. The higher-end Dragonwing Q-8750 is designed for more advanced IoT applications, delivers up to 77 TOPS (dense) for real-time inference and up to 11B LLMs, handles 8K displays and 8K cameras, and supports up to 12 physical cameras for drones, media hubs, and multi-angle vision systems. Dragonwing Q-7790 Dragonwing Q-7790 (CQ7790M/CQ7790S) specifications: CPU – Octa-core Kryo processor up to 2.8 GHz 1x Gold+ core @ 2.8 GHz 4x Gold cores @ 2.4 GHz 3x Silver cores @ 1.8 GHz GPU – Qualcomm Adreno […]

ESP32-DIV V1 handheld pentesting tool supports Wi-Fi Attacks, BLE spoofing, 2.4GHz scanning, and Sub-GHz jamming

ESP32 DIV Wi Fi, BLE, 2.4GHz and Sub GHZ pentesting tool

Designed by Cirket open-source hardware in China, the ESP32-DIV V1 is a handheld wireless pentesting and experimentation tool with Wi-Fi, BLE, generic 2.4 GHz (NRF24), and Sub-GHz RF (CC1101) communication. The device targets hardware hackers and cybersecurity researchers for learning and testing wireless vulnerabilities across multiple frequency bands. The device features a modular “sandwich” design consisting of a Main Board and a Shield Board connected via a 20-pin header. The Main Board integrates an ESP32 microcontroller, a 2.8-inch ILI9341 TFT display with XPT2046 touch controller, SD card slot, battery charging and power management, and navigation controls. The Shield Board hosts the RF hardware, including three NRF24L01 modules, a CC1101 Sub-GHz transceiver, and multiple SMA antenna connectors. ESP32-DIV (V1) specifications: Wireless Module  – ESP32-WROOM-32U 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 […]

Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Jetson Orin Nano AI learning kit

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI Starter Kit specifications: Main Board – NVIDIA Jetson Orin Nano (Not included in the kit) Display – 11.6-inch IPS touchscreen display with 1366 × 768 resolution Onboard modules Input modules Multimedia – 8MP IMX219-based camera with dual-servo gimbal (PTZ-style control) Sensors Temperature & humidity sensor Ultrasonic distance sensor PIR motion […]