Behold, the ESP32-S31! It's like a WiFi 6, Bluetooth 5.4, 320MHz
#RISC-V headache wrapped in a spaghetti of acronyms that even the engineers will need a decoder ring to understand. 🤯🔍 Meanwhile,
#Espressif continues its noble quest to redefine 'user-friendly' as 'good luck finding the right spec sheet'. 📜😂
https://www.espressif.com/en/news/ESP32_S31_Release #ESP32S31 #WiFi6 #Bluetooth54 #TechNews #HackerNews #ngated
Espressif Unveils ESP32-S31: A Dual-Core RISC-V SoC with Wi-Fi 6, Bluetooth 5.4, and Advanced HMI Capabilities
ESP32-S31 delivers comprehensive multi-protocol connectivity, rich multimedia interfaces, and hardware-accelerated security for next-generation IoT applications.
Espressif Unveils ESP32-S31: A Dual-Core RISC-V SoC with Wi-Fi 6, Bluetooth 5.4, and Advanced HMI Capabilities
ESP32-S31 delivers comprehensive multi-protocol connectivity, rich multimedia interfaces, and hardware-accelerated security for next-generation IoT applications.
T-Display-P4 smartphone-like devkit features ESP32-P4 MCU, ESP32-C6 wireless SoC, and SX1262/LR2021 LoRa transceiver
LILYGO T-Display-P4 is a feature-rich ESP32-P4 + ESP32-C6 devkit, but with a smartphone-like design and support for GPS, Ethernet, and LoRaWAN through SX1262 or LR2021 LoRa transceiver, besides the usual WiFi 6, Bluetooth 5.x, and 802.15.4 wireless connectivity. The T-Display-P4 is offered with either a 4.05-inch IPS display and a 2MP front-facing camera or a 4.1-inch AMOLED with a 2MP rear camera. The devkit is equipped with 32MB PSRAM and 16MB NOR flash for the ESP32-P4, a microSD card slot, a built-in microphone and speaker, a 3.5mm audio jack, a few USB ports, and a 9-axis motion sensor, as well as a GPIO port and two Qwiic connectors for expansion. T-Display-P4 specifications: MCU - ESP32-P4 CPU Dual-core RISC-V microcontroller @ 360 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel Processing Accelerator (PPA) VPU – H.264 and
M5Stack Stamp-P4 – A tiny ESP32-P4 USB-C board with optional Wi-Fi 6 and Bluetooth 5.4
M5Stack has just introduced the Stamp-P4, a tiny USB-C development board built around the ESP32-P4 high-performance RISC-V MCU chip, featuring 16MB of Flash and 32MB of PSRAM, and optional Wi-Fi 6 and Bluetooth 5.4 support through the ESP32-C6-MINI-1-based Stamp-AddOn C6 module. Despite its small size (29.8 x 22.0 x 4.3mm), the Stamp-P4 offers a wide range of interfaces, including a MIPI-CSI camera connector, as well as a MIPI DSI display interface, RMII Ethernet, USB 2.0 HS, and up to 44x GPIOs via 1.27mm/2.00mm pitch castellated holes and a few through holes. M5Stack Stamp-P4 specifications: SoC – Espressif Systems ESP32-P4NRW32 CPU Dual-core RISC-V microcontroller @ 360 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel Processing Accelerator (PPA) VPU – H.264 and JPEG codecs support Memory – 768 KB HP L2MEM, 32 KB LP SRAM, 8 KB TCM, 32MB
ESP32-P4-Pi-VIEWE – A Raspberry Pi-inspired ESP32-P4 + ESP32-C6 board with Ethernet, USB, 40-pin GPIO header, and more
https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/27/esp32-p4-pi-viewe-raspberry-pi-esp32-p4-esp32-c6-board/
ESP32-P4-Pi-VIEWE – A Raspberry Pi-inspired ESP32-P4 + ESP32-C6 board with Ethernet, USB, 40-pin GPIO header, and more
The ESP32-P4-Pi-VIEWE is a Raspberry Pi-inspired development board equipped with a VIEWE ESP32-P4C6-Core module, combining a 400 MHz ESP32-P4 dual-core RISC-V MCU with an ESP32-C6 chip for Wi-Fi 6 and Bluetooth 5.0 wireless connectivity, as well as 32MB PSRAM and 16MB NOR flash. The board also offers 10/100Mbps Ethernet connectivity, MIPI DSI, and CSI connectors for display and/or camera, two onboard microphones, a speaker output, a USB 2.0 port, a micro SD card slot, and the usual 40-pin GPIO header, all in a familiar 85 x 56 mm credit card form factor. ESP32-P4-Pi-VIEWE specifications: Main module - VIEWE ESP32-P4C6-Core Microcontroller – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 360/400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel Processing Accelerator (PPA) VPU – H.264 and JPEG codecs support Memory – 768 KB HP L2MEM, 32 KB LP SRAM,
SparkFun Thing Plus – ESP32-C5 board offers dual-band WiFi 6, Adafruit Feather pinout, LiPo battery support
Espressif has recently released the ESP-IDF v6.0 framework with support for ESP32-C5 and ESP32-C61, so we can expect more ESP32-C5 boards. Following the launch of boards like DFRobot FireBeetle 2 and the Espressif DevKitC-1, SparkFun has now launched its Thing Plus - ESP32-C5, an Adafruit Feather-compatible board based on the ESP32-C5. The timing is no coincidence. Although the ESP32-C5 dual-band WiFi 6 SoC was announced back in 2022, hardware makers have been waiting for stable software support. With the release of ESP-IDF v6.0, the ESP32-C5 moves from “preview” to “stable” and adds key features, such as Safe Bootloader OTA updates. This enables the ROM bootloader to fall back to a recovery partition if an update fails, making it reliable enough for companies like SparkFun to launch hardware for remote deployments and Matter-compatible smart home applications. SparkFun Thing Plus - ESP32-C5 specifications: Wireless module – ESP32-C5-WROOM-1 SoC – Espressif Systems ESP32-C5 CPU Single-core
RuView project leverages ESP32 nodes for WiFi-based presence detection, pose estimation, and breathing/heart rate monitoring
RuView is an open-source "WiFi DensePose" implementation leveraging multiple ESP32 nodes to turn WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection without relying on video cameras. WiFi DensePose is a sensing technique, first explored in academic research, that leverages WiFi signals to reconstruct human pose. RuView implements this technique in Rust or Python, and relies on your WiFi router and several ESP32 nodes to track body pose, detect breathing rate, and measure heart rate even through walls. As we'll discuss below, this project has its own controversy, as some claim it's fake. The solution relies on Channel State Information (CSI) disturbances caused by human movement to reconstruct body position, breathing rate, heart rate, and presence in real time using "physics-based signal processing and machine learning". That obviously means you need CSI-capable hardware, and not all consumer WiFi nodes implement it. The project description lists various
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