Rabbit-Labs Flipper Zero ESP32-C5 multi-board features CC1101, GPS, and dual-band Wi-Fi 6

Designed by Rabbit-Labs EU, the Flipper Zero ESP32-C5 multi-board is an expansion board for the Flipper Zero built around the ESP32-C5 dual-band Wi-Fi 6 (2.4 GHz and 5 GHz) microcontroller. The board also features a TI CC1101 sub-GHz transceiver, a GPS module, an SD card slot, and a USB-C port for power and programming. Last month, we wrote about the ESP32 Marauder 5G Apex 5 module, another ESP32-C5-based add-on for the Flipper Zero that comes with dual-band Wi-Fi 6, two sub-GHz radios, an NRF24 radio, and a built-in GPS module, which makes it quite bulky, to say the least. Compared to that, Rabbit Labs' multi-board can be considered a stripped-down, simpler alternative, with a more compact design and straightforward setup. ESP32-C5 multi-board specifications: Main module – ESP32-C5-WROOM-1U SoC – Espressif Systems ESP32-C5 CPU Single-core 32-bit RISC-V processor @ up to 240 MHz Low-power RISC-V core @ 40 MHz acting as the

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SparkFun OpenScale IoT – An ESP32 board with HX711 ADC for smart scales with WiFi and Bluetooth connectivity

The SparkFun OpenScale - IoT project is a ready-to-use ESP32-based IoT smart scale with open-source hardware and firmware support that makes it easy to read precise weight data from load cells without writing custom code from scratch for basic operation. It handles amplification via the HX711 24-bit ADC, calibration, temperature compensation (using the onboard TMP102 and an optional external DS18B20 probe), and serial output/configuration through a simple text-based menu. It also features Wi-Fi for live data and OTA firmware updates, requiring no dedicated apps—just standard terminal tools and a browser for viewing data. Additionally, there is a Qwiic I²C connector for adding extra sensors or displays. The board operates from 5 V with a typical current consumption of 80 to 100 mA, supports selectable output data rates of 10 or 80 SPS, and includes an adjustable gain for accurate measurements in long-term monitoring setups. SparkFun OpenScale - IoT Specifications: Wireless

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Rockchip RK3538 TV Box SoC and RK3572 mid-range HMI processor are coming soon

While we are eagerly waiting for the RK3668 and RK3688 high-end processors, Rockchip is planning to launch two mid-range SoCs with the RK3538 quad-core Cortex-A55 processor designed for TV boxes, and the RK3572 hexa-core Cortex-A73/A53 SoC for HMI (Human Machine Interface) applications. Rockchip RK3538 TV box SoC Rockchip RK3538 specifications: CPU - Quad-core Arm Cortex-A55 processor with NEON, FPU, ARMv8 Crypto... Cache 32KB L1 instruction cache 32KB L1 data cache and 64KB L2 data cache 512KB unified system L3 cache GPU Arm Mali-G310 3D GPU with support for OpenCL 3.0, OpenGL ES1.1/2.0/3.2, Vulkan 1.2 2D Graphics Engine VPU Decoder H.265, H.264, AV1 (up to two simultaneous 1080p60 channels) VP8, VC1, MPEG-4, MPEG-2, MPEG-1 yp to 1920x1088 @ 60 FPS (1088 is not a typo) H.263 up to 720p60 (M)JPEG up to 8176x8176 @ 76 million pixels per second Encoder - N/A MCU core - RISC-V MCU in PMU domain with

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MediaTek unveils 50 TOPS Genio Pro 5100 Cortex-X925/X4/A720 SoC, 7.2 TOPS Genio 420 Cortex-A78/A55 SoC for AIoT applications

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/12/mediatek-50-tops-genio-pro-5100-cortex-x925-x4-a720-soc-7-2-tops-genio-420-cortex-a78-a55-soc-for-aiot-applications/

MediaTek unveils 50 TOPS Genio Pro 5100 Cortex-X925/X4/A720 SoC, 7.2 TOPS Genio 420 Cortex-A78/A55 SoC for AIoT applications

After launching the Genio 360/360P hexa/octa-core SoCs last month, MediaTek has now expanded the lineup with the Genio Pro 5100 and Genio 420 AIoT SoCs at Embedded World 2026. The Genio Pro 5100 is a 3nm SoC with an "all big-core" architecture and a 50+ TOPS NPU for Edge AI applications. The Genio 420, on the other hand, is a cost-efficient 6nm platform designed for smart home, retail, and industrial IoT devices. MediaTek Genio Pro 5100 The Genio Pro 5100 integrates one Cortex-X925, three Cortex-X4, and four Cortex-A720 cores, as well as an Arm Immortalis-G925 GPU, and supports LPDDR5X memory up to 8533 Mbps. It can handle up to three 4K displays, up to 16 cameras via virtual channels, and 8K30 video encode/decode, and offers interfaces such as PCIe Gen4, USB 3.2 Gen2, USB 2.0, and dual 2.5GbE MAC. Genio Pro 5100 (MT8894) specifications:  CPU - 8-core Arm v9.2 processor

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Texas Instruments MSPM0G5187 and AM13Ex MCUs integrate TinyEngine NPU for Edge AI applications

Texas Instruments MSPM0G5187 and AM13Ex are two new microcontroller (MCU) families featuring the company's  TinyEngine neural processing unit (NPU) to enable low-latency, high-efficiency Edge AI/Machine Learning inference on the chips. TI claims that the TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy utilization per inference than similar MCUs without an accelerator.  The MSPM0G5187 is a general-purpose, low-power Arm Cortex-M0+ MCU, while the AM13Ex Arm Cortex-M33 microcontroller targets real-time motor control, starting with the AM13E23019 SKU. TI MSPM0G5187 general-purpose Cortex-M0+ MCU Key features and specifications: CPU - Arm Cortex-M0+ @ 80 MHz Memory - 32 KB RAM with ECC Storage - 128 KB flash with ECC, 8 KB data flash with ECC Accelerators TinyEngine NPU for AI/ML delivering up to 2.56GOPS (Giga Operations Per Second) at 80MHz MATHACL math accelerator Peripherals USB - 1x USB 2.0 (12 Mbps) Audio

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NXP i.MX 937 cost-effective Cortex-A55/M7/M33 MPU is a drop-in replacement for NXP i.MX 95 SoC family

The 1 .4 GHz NXP i.MX 937 quad-core Cortex-A55 microprocessor (MPU) for HMI and Edge AI applications aims to fill the gap between entry-level NXP i.MX 93 SoCs and higher-end parts like the NXP i.MX 952 processor family, while offering pin-to-pin compatibility with the latter. The i.MX 937 MPU also features a dedicated 667 MHz Arm Cortex -M7 for real-time workloads and a low-power Arm Cortex-M33 core for system management tasks, supports LPDDR4x or LPDDR5 memory, integrates an Arm Mali G310 3D GPU, a VPU for 1080p H.26x video encoding and decoding, and a 2 eTOPS NXP eIQ Neutron NPU for machine learning (ML) acceleration. Since it targets HMI applications, we'll also find MIPI DSI and LVDS display interfaces, and a 4-lane MIPI CSI camera interface, plus various other I/Os. NXP i.MX 937 specifications: (highlights in bold compared to other i.MX 93 parts) CPU Up to 4x Arm Cortex-A55 cores

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BeagleBadge – A Linux-powered 4.2-inch ePaper badge based on TI Sitara AM62L32 SoC

The BeagleBoard.org Foundation has just introduced the BeagleBadge featuring a 4.2-inch ePaper display and a Linux-capable Texas Instruments Sitara AML62L32 dual-core Cortex-A53 SoC. It's quite feature-rich for a badge, as it offers WiFi 6, Bluetooth 5.4 LE, and LoRa/LoRaWAN connectivity, various motion and environmental sensors, a USB 2.0 host port, Mikrobus, Grove, and QWIIC expansion connectors, a 4-way joystick, a buzzer, and a range of buttons and LEDs. BeagleBadge specifications: SoC - Texas Instruments Sitara AM62L32 dual-core Arm Cortex-A53 processor @ 1.25GHz System Memory - 256 MB (128M x 16bit) LPDDR4 @ 1600 MHz Storage 4GB eMMC flash 256Mbit OSPI flash 32Kbit EEPROM MicroSD card slot Display 4.2-inch ePaper display via 24-pin FPC Connector MIPI DSI connector for LCD Wireless 2.4 GHz WiFi 6 + Bluetooth 5.3 via BeagleMod CC3301-1216 module with MHF4 Connector LoRaWAN via Wio SX1262 module with u.FL Connector USB USB 2.0 Type-A host port USB Type-C

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Nordic Semi unveils nRF54LS05A and nRF54LS05B entry-level, ultra-low-power Bluetooth LE SoCs

Nordic Semiconductor's nRF54LS05A and nRF54LS05B are entry-level, ultra-low-power Bluetooth Low Energy (LE) Arm Cortex-M33 microcontrollers designed to be used as the main wireless SoC in simple applications such as sensors, tags, beacons, remotes, and PC peripherals, or operate as a Bluetooth LE companion device in more advanced products. Both SoCs are clocked at 128 MHz, feature Nordic’s 4th-generation Bluetooth LE radio, analog/digital interfaces, and advanced security. They also come with 0.5 MB of Non-Volatile Memory (NVM), and the only difference is that the nRF54LS05A is equipped with 64 KB of RAM, while the nRF54LS05B offers 96 KB. Nordic Semi nRF54LS05A/B specifications: CPU Arm Cortex-M33 core @ 128 MHz Performance - 250 CoreMark/mA @ 3V, 500 CoreMark Memory nRF54LS05A - 64 KB RAM nRF54LS05B - 96 KB RAM Storage - 508 KB NVM Wireless Bluetooth LE - 1 Mbps, 2 Mbps 2.4 GHz proprietary - GFSK: 4 Mbps, 2 Mbps, 1

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STMicro STM32C5 entry-level, 144 MHz Cortex-M33 MCU features up to 1MB flash, 256KB SRAM, Ethernet, CAN Bus

Not to be confused with the just-released STM32U3B5/C5 ultra-low-power MCUs, the entry-level STM32C5 Arm Cortex-M33 MCU family is designed for industrial sensors, smart home devices, electronic locks, thermostats, wearables, robotic actuators, and computer peripherals. The MCUs are manufactured using ST's 40 nm flash process, clocked at up to 144 MHz, and feature 128 KB to 1 MB of flash and up to 256 KB of SRAM, with a dynamic power consumption of <80 µA/MHz. Key features include Ethernet, USB, OctoSPI, CAN bus, DMA, and various peripherals, including ADCs, comparators, and an op-amp. Security is also enhanced, with the series targeting SESIP3 and PSA Certified Level 3 through features such as side-channel attack-resistant crypto, Hardware Unique Keys (HUK), and a Coupling and Chaining Bridge (CCB) for secure key storage. STM32C5 key features and specifications: MCU core Arm Cortex-M33 32-bit CPU @ 144 MHz with single-precision FPU, DSP instructions, and MPU Up

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WiFi and Bluetooth LE can now be used simultaneously on Arduino boards with NINA-W102 (ESP32) module

Today I learned that WiFi and Bluetooth LE could NOT be used simultaneously on Arduino boards featuring the ESP32-based u-blox NINA-W102 wireless module, impacting the Arduino Nano RP2040 Connect, Arduino MKR WiFi 1010, and Arduino Nano 33 IoT boards. It's a long-running problem since the first Arduino board with NINA-W10 was introduced in 2018, and meant you could use WiFi or Bluetooth LE, but not both simultaneously. The good news is that the issue has finally been fixed, thanks to a new firmware for the module and new WiFi and BLE libraries. More specifically, you'll need the following libraries and firmware: WiFiNINA library version 2.0.0 or later ArduinoBLE library version 2.0.0 or later NINA-W102 firmware version 3.0.1 or later The libraries can easily be updated in the Library Manager in the Arduino IDE, and the firmware needs to be updated with the Firmware Updater Tool in Tools > WiFi101 /

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