Pimoroni Interstate 75 W (RP2350) board is designed for HUB75 LED matrix panels

Interstate 75 W RGB LED Matrix Driver board

Pimoroni Interstate 75 W (RP2350) is an all-in-one RGB LED matrix driver board designed for HUB75 LED matrix panels commonly used in video walls, advertising displays, and creative signage. Built around a Raspberry Pi RP2350 chip this board also uses the Raspberry Pi’s CYW43439 module for Wi-Fi and Bluetooth and features user buttons, an RGB LED, and a Qw/ST connector for integration with Qwiic/STEMMA QT breakouts. The kit is compatible with various LED matrix sizes (32×32, 64×64, etc.) and comes in a starter kit with panels, cables, and magnetic feet for quick setup. All these features make this kit useful for applications including real-time data like bus times, air quality, or sensor outputs, dynamic signage, scrolling text, and more. Pimoroni Interstate 75 W (RP2350) specifications: SoC – Raspberry Pi RP2350A CPU Dual-core Arm Cortex-M33 @ 150 MHz with Arm Trust zone, Secure boot OR Dual-core RISC-V Hazard3 @ 150 MHz Up […]

NXP EdgeLock A30 Secure Authenticator chip enables battery authentication for compliance with EU regulation 2023/1542

NXP EdgeLock A30 secure authenticator

NXP recently launched the EdgeLock A30 Secure Authenticator chip, a Common Criteria EAL 6+ certified secure authentication designed for IoT devices, including battery authentication applications. It complies with the EU’s Batteries Regulation 2023/1542, which mandates the inclusion of a Digital Product Passport (DPP), by 2027 to ensure traceability, sustainability, and safety in battery manufacturing and recycling. Alasdair Ross, Senior Director, NFC IoT Security, NXP explains: Secure authentication helps to ensure brand protection, consumer safety, and product traceability, fostering trust and shielding devices from physical damage. Smaller than a grain of rice, the EdgeLock A30 is designed to fit into even the smallest of devices. It supports multiple authentication use cases, making it easier for developers to support a variety of devices and accessories with a single solution, including device to device, cloud to device, counterfeit protection, and storage or protection of device identity. To address these requirements NXP’s EdgeLock A30 […]

ESP32-AIVoice-Z01 is an ESP32-S3 AI voice kit with dual microphones, wake word detection, noise reduction and echo cancellation

ESP32 AIVoice Z01 Development Kit

The ESP32-AIVoice-Z01 is an affordable ESP32-S3-powered AI voice kit designed for creating voice-controlled AI applications. It features Wi-Fi and Bluetooth connectivity through the ESP32-S3 SoC, a dual digital microphone array for accurate voice recognition, and an onboard amplifier. The system also implements audio algorithms for noise reduction and echo cancellation. The ESP32-AIVoice-Z01 board supports Espressif’s WakeNet voice wake-up framework and integrates with the AiLinker open-source backend service framework to enable the connection to various large AI model services like OpenAI, ZhiPu QingYan, TongYi QianWen, and DouBao. These features make this device suitable for developing AI-powered toys, IoT devices, mobile devices, and smart home applications. ESP32-AIVoice-Z01 ESP32 AI voice kit specifications Wireless module – ESP32-S3-WROOM-1U SoC – Espressif Systems ESP32-S3 dual-core Xtensa LX7 processor Memory – 8MB PSRAM Storage – 16MB flash Wireless – WiFi 4 and Bluetooth 5.0 connectivity with external antenna Storage – MicroSD card slot Audio Dual digital microphone array […]

SO-ARM100 is an open-source AI robotic arm kit with LeRobot integration and NVIDIA Jetson support

SO ARM100 AI Arm Kit

Seeed Studio has recently started selling the SO-ARM100 AI Robotic Arm kit, a low-cost AI arm designed for real-world robotics applications. This open-source hardware device features a 6-degree-of-freedom design with high-torque STS3215 bus servos, a 12-bit magnetic encoder for precise angle sensing, and UART for communication. The arm comes with motors, driver boards, power adapters, and other 3D-printed parts like arm segments, base, grippers, and motor mounts. Designed to work with the NVIDIA Jetson edge platform, it is ideal for grasping and placing. All these features make this device suitable for education, research, and AI-driven robotics projects. SO-ARM100 AI robotic arm kit specifications Degrees of Freedom (DOF) – 6 Motor control Total servo – 12x STS3215 bus servos Servo torque Arm kit Standard – 19.5 kg.cm @ 7.4V Arm kit pro – 30 kg.cm @ 12V (Pro) Angle Sensor – 12-bit magnetic encoder USB – USB-C for programming and testing […]

LoRaWAN no code ESP32-S3 development platform offers Arduino MKR, MikroBus, FeatherWing, and Grove expansion (Crowdfunding)

WAN-4-ALL LoRaWAN no code module

Sheffield-based IoT company, inx-systems has developed a programmable LoRaWAN IoT module and a development breakout board that integrates with Arduino MKR, Adafruit FeatherWing, Grove, and mikroBUS shields. The module is powered by an ESP32-S3 microcontroller which comes preloaded with inx’s no-code LoRaWAN software development platform, Lucid. The WAN-4-ALL module has built-in Wi-Fi, Bluetooth, and LoRaWAN connectivity via the ESP32-S3 microcontroller and Seeed Studio Wio-E5 module. This makes the module suitable for short-range, medium-range, and long-range IoT applications such as remote monitoring, home automation, industrial control, and smart agriculture. We have covered other LoRaWAN development platforms such as SB Component’s RAKWireless-based products, Particle’s multi-radio devices, and the UnPhone. The WAN-4-ALL module differentiates itself with the preloaded no-code LoRaWAN development environment and multiple connectivity options. WAN-4-ALL module specifications: SoC – Espressif Systems ESP32-S3 dual-core microcontroller @ 240MHz with Wi-Fi 4, Bluetooth LE 5 LoRaWAN Module – Seeed Studio Wio-E5 Module based on […]

VOIPAC iMX93 industrial development kit targets AI, HMI, and Edge Computing applications

Voipac iMX93 Industrial Development Kit

VOIPAC Technologies has recently launched its iMX93 Industrial Development Kit (iMX93 module and iMX development baseboard) which comes in Max, Pro, Basic, and Lite configurations. The system-on-module (SoM) is built around the NXP i.MX93 SoC with dual-core Arm Cortex-A55 application processor running at up to 1.7GHz, a Cortex-M33 co-processor running at up to 250MHz, and an Arm Ethos-U65 microNPU with up to 0.5 TOPS of AI performance. Other features include DDR4 memory, eMMC Flash, and industrial-grade 100-pin shielded connectors for signal integrity and thermal performance. Additionally, the devkit also exposes CAN, PWM, ADC, etc.. signals and supports WiFi 6, Bluetooth 5.3, and dual GbE. These features make the VOIPAC iMX93 industrial development kit suitable for applications including AI, machine learning, human-machine interface (HMI) solutions, and more. iMX93 Industrial Development Kit specifications: System-on-Module (four options) iMX93 Industrial Module Max SoC – NXP i.MX 93 dual-core @ 1.7 GHz with real-time Cortex-M33 co-processor NPU […]

A first look at the Raspberry Pi Development Kit for CM5

Raspberry Pi Development Kit for CM5 Raspberry Pi OS

Raspberry Pi has just launched the Compute Module 5 (CM5) and the company sent me a “Raspberry Pi Development Kit for CM5” for review and to play around with the new Broadcom BCM2712 system-on-module succeeding the Raspberry Pi Compute Module 4 (CM4) introduced in 2020. Today, I’ll have a first look at the development kit checking out the hardware, connecting accessories, booting it up to Raspberry Pi OS, and collecting some basic system information. I’ll do a more in-depth review in a few weeks. Unboxing of the Raspberry Pi Development Kit for CM5 I received the kit in a package reading “Raspberry Pi Development Kit” and “For Raspberry Pi CM5”. That’s a good start… The bottom side lists the package’s content which I will check out shortly, and a link to the documentation. Let’s see what we have with the Raspberry Pi Development Kit: a Raspberry Pi IO Case, a […]

Raspberry Pi CM5 launched with Broadcom BCM2712 SoC, up to 16GB LPDDR4 ECC memory

Raspberry Pi CM5 Compute Module 5

The Raspberry Pi Compute Module 5, or Raspberry Pi CM5 for shorts, is now available with up to 16GB LPPDR4 ECC memory, up to 64GB eMMC flash, and an optional WiFi 5 and Bluetooth 5.0 LE wireless module. It has the same form factor as the Raspberry Pi CM4 and CM4 Lite launched in 2020 but delivers a significant performance boost. The Raspberry Pi CM5 is basically a tiny version of the Raspberry Pi 5 SBC designed for embedded applications with a Broadcom BCM2712 quad-core Cortex-A76 SoC, and offered with 2GB to 16GB RAM, optional 16GB to 64GB eMMC flash, and optional WiFi 5 and Bluetooth 5.0 module. As usual, there are also Raspberry Pi CM5 Lite versions without any eMMC flash meant to be booted from a microSD card or an SSD on the carrier board. Raspberry Pi Compute Module 5 Raspberry Pi CM5 specifications: SoC – Broadcom BCM2712 […]