EnviroGo ESP32-S3 wearable environmental monitor features 7 sensors (Crowdfunding)

EnviroGo s 7 in 1 ESP32 wearable environmental monitor

EnviroGo is an ESP32-S3-based wearable environmental monitor that tracks Organic Compounds (VOCs), UV index, temperature, humidity, air pressure, light, and motion via a 9-axis MEMS sensor. It is designed for indoor and outdoor use, and can be worn, clipped to a bag, or magnetically mounted, making it suitable for homes, offices, travel, labs, and daily use where real-time environmental data is needed. EnviroGo supports built-in Wi-Fi and Bluetooth connectivity through the ESP32-S3 WiSoC, features a small 0.96-inch IPS display, a microSD card slot for local data logging, and an RTC for time-stamped records. The device samples data at configurable intervals, uses RGB LEDs and a buzzer for visual and audible alerts, and can process data locally with AI-based prediction to spot trends such as rising VOC levels or humidity changes (with a stated 7-day learning period). EnviroGo is designed for IoT developers, researchers, smart home users, and health-conscious individuals who […]

ESP32-C6 development board features 1.8-inch AMOLED touch display, built-in mic and speaker, IMU, RTC, and more

ESP32 C6 Display Development Board

Waveshare ESP32-C6-Touch-AMOLED-1.8 is an ESP32-C6-based touch display development board featuring a 1.8-inch capacitive AMOLED display, a 6-axis IMU, RTC, audio codec, microSD card slot, USB-C for power and programming, power/boot buttons, and various I/Os including I²C, UART, USB, and GPIO pads. Compared to boards like Waveshare ESP32-S3-LCD-1.28, ESP32-S3-Touch-LCD-1.69 (based on ESP32-S3), and ESP32-P4-WIFI6-Touch-LCD-3.4C/4C (based on ESP32-P4), this board is based on the ESP32-C6 wireless SoC with 2.4 GHz Wi-Fi 6, Bluetooth 5 LE, Zigbee, and Thread connectivity. It also includes a 16 MB external flash and a 368 × 448 AMOLED display with 16.7 million colors and capacitive touch support. Power is managed by an AXP2101 PMIC for Li-ion battery support and charging. Typical applications include smart home control panels, wearable and handheld IoT devices, voice-enabled assistants, data loggers, portable dashboards, and HMI-focused embedded prototypes. Waveshare ESP32-C6-Touch-AMOLED-1.8 specifications: SoC – Espressif Systems ESP32-C6 CPU Single-core 32-bit RISC-V clocked up to 160 MHz […]

Renesas RA6W1/RA6W2 Cortex-M33 wireless MCUs offer dual-band Wi-Fi 6, BLE, Matter, 15-year availability

Renesas RA6W1 and RA6W2 dual band Wi Fi 6, BLE, Matter Cortex M33 Wireless MCU

Renesas has added the RA6W1 (Wi-Fi 6) and the RA6W2 (Wi-Fi 6 + BLE) MCUs to its high-performance RA6 family, adding dual-band Wi-Fi 6 and Bluetooth LE, as well as Matter connectivity to the series. Both models feature a 160 MHz Arm Cortex-M33 core, dual-band Wi-Fi 6 with WPA3 security, on-chip PA/LNA/RF switch, and a full TCP/IP stack for fast connectivity. They integrate up to 704 KB SRAM, 256 KB ROM, and support eMMC/SD, O-QSPI, and QSPI for external flash and/or PSRAM. The series also includes generic peripherals like SPI, I²C, I²S/PDM, SDIO, 12-bit ADCs, PWM timers, and up to 28 GPIOs. Offered in compact QFN/WLCSP packages, the RA6W1/2 MCUs target smart home, wearables, industrial, and consumer IoT markets where long battery life and wireless connectivity are essential. Renesas RA6W1 specifications: MCU core – Arm Cortex-M33 @ up to 160 MHz, Armv8-M architecture with MPU and SysTick Memory & Storage […]

Nordic nRF7002 EBII adds dual-band Wi-Fi 6 to nRF54L series development kits

nRF7002 EBII Wi Fi 6 Expansion Board

Nordic has introduced the nRF7002 EBII as an updated Wi-Fi 6 expansion board for its nRF54L series development kits. The earlier nRF7002 WiFi 6 board was a low-cost add-on for the Thingy:53, mainly for basic prototyping. The new EBII is designed for the newer nRF54L series of SoCs with dual-band Wi-Fi 6 support, power-profiling options, and more. Built around the nRF7002 Wi-Fi Companion IC, it supports Wi-Fi 6 features such as TWT, OFDMA, and BSS coloring for power efficiency and reduced interference. The EBII communicates with nRF54L15 and nRF54LM20 DKs through SPI/QSPI host interfaces, and includes headers for power profiling. Additionally, it features an onboard chip antenna, supports both STA and SoftAP modes, and maintains backward compatibility with 802.11a/b/g/n/ac. These features make it suitable for low-power multiprotocol IoT devices in smart homes, Matter, industrial sensing, wearables, and connected health applications. nRF7002 Expansion Board II specifications: Wi-Fi Companion IC – Nordic nRF7002 […]

Nordic nRF54LV10A is a tiny, low-voltage Bluetooth LE SoC for battery-powered medical devices

Low-voltage Bluetooth LE SoC for medical wearables

Nordic Semi has unveiled a new member of the nRF54L series: the nRF54LV10A ultra-low-power, low-voltage Bluetooth LE SoC designed for battery-powered medical devices such as trackers, wearable biosensors, and continuous glucose monitors. The nRF54LV10A is offered in a tiny 2.3×1.9mm CSP package or 6x6mm QFN48 package, and since it operates within 1.2 to 1.7V DC supply, it can be powered directly by a 1.5V silver oxide battery typically found in wearables, including medical and healthcare devices. Nordic nRF54LV10A key features and specifications: CPU Arm Cortex-M33 @ up to 128 MHz with up to 1012 KB NVM and 192 KB SRAM; 123 CoreMark/mA @ 1.5 V, 503 CoreMark RISC-V coprocessor @ 128 MHz Ultra-low-power multiprotocol 2.4 GHz radio Bluetooth 6.0 LE with Channel Sounding support for distance measurement, indoor positioning, or presence detection 802.15.4..4-2020 radio up to 250 kbps Proprietary 2.4 GHz up to 4 Mbps Maximum Tx power – +4 […]

Brainchip AKD1500 PCIe/SPI Edge AI co-processor to power battery-operated wearables and IoT devices

BrainChip AKD1500 Edge AI co-processor with PCIe and SPI host interfaces

BrainChip AKD1500 is an ultra-efficient Edge AI co-processor delivering up to 800 GOPS while consuming just 300 mW of power, making it suitable for battery-powered wearables and IoT sensors. It’s based on the same event-based neuromorphic technology found on the earlier AKD1000, relying on spiking neural networks (SNN) to deliver real-time inference in a way that is much more efficient than traditional AI chips. What’s new here is that thanks to PCIe and SPI interfaces, the new ADK1500 co-processor can be paired to a wide range of hosts, ranging from Linux-capable application processors to resource-constrained microcontrollers with x86, Arm, or RISC-V architectures. BrainChip AKD1500 key features and specifications: Akida Neuron Fabric Clocked at 5 to 400 MHz Delivering up to 800 effective GOPS at <1mW/GOPS On-device learning capabilities to enable “secure application personalization, without the need for a Cloud connection or retraining” On-Chip Conversion Complex Memory/Storage 1MB on-chip local memory […]

u-blox MAX-M10N GNSS module supports Low Energy Accurate Positioning (LEAP) mode, firmware upgrades

u blox UBX M10150 KB chip and the MAX M10N module

Following the launch of the UBX-M10150-CC low-power GNSS module, u-blox has expanded its lineup with the MAX-M10N, another ultra-low-power module based on the UBX-M10150-KB GNSS chip. The new module supports firmware upgradeability and offers up to 50% lower power consumption thanks to features such as Low Energy Accurate Positioning (LEAP) and PSMCT cyclic tracking modes. The latest SPG 5.30 firmware also adds support for RTCM correction input for sub-meter positioning accuracy, along with improved spoofing and jamming detection. It also includes data logging and geo-fencing for autonomous tracking and uses AssistNow Predictive and Live Orbits for faster satellite acquisition. The MAX-M10N integrates an LNA and dual SAW filters for better RF sensitivity and interference protection, while maintaining pin compatibility with earlier MAX modules. These features make it suitable for low-power, high-accuracy applications such as wearables, asset tracking, and battery-powered IoT devices. u-blox MAX-M10N GNSS module specifications: Receiver type – u-blox M10 […]

Upbeat introduces UP201 and UP301 ultra-low power RISC-V MCUs with always-on AI processing

Upbeat UP201 and UP301 Series AI MCUs No BG

Upbeat Technology, in collaboration with SiFive, has introduced UP201 and UP301 always-on AI MCUs for ultra-low-power AI and IoT applications such as wearables, drones, and sensor-based systems. The UP201 is designed for compact, battery-driven devices such as smartwatches, hearing aids, and IoT sensor nodes, whereas the UP301 targets AI and vision-based applications for more complex edge systems such as smart glasses, robotics, and industrial AI equipment. Both chips feature a dual-core RISC-V architecture. The SiFive E21 lightweight core is Always-On (AON), managing continuous low-power sensing, whereas the SiFive E34 performance core activates for higher workloads. The MCUs also integrate a 2.5D GPU and various I/O options. UP201 and UP301 MCU specifications: CPU cores (SiFive Essential RISC-V IP cores) E21 core in Always-On (AON) domain for continuous low-power sensing E34 performance core in the Non-AON domain for higher workloads Up to 400 MHz operating frequency Up to 717 DMIPS performance Near-threshold […]

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