Espressif Unveils $10 ESP32-H2-DevKitM-1 for IoT Applications

The ESP32-H2-DevKitM-1 dev board is Espressif’s new development board based on the ESP32-H2-MINI-1 module, priced at $10, it features dual USB Type-C support: one USB Type-C for UART via the CP2102 chip, and another for USB 2.0 host functionality up to 12 Mbps.

The dual USB setup can be useful for various applications, one USB port can be used for programming and debugging the device (usually through a UART connection), while the other can be used to connect host devices like keyboards, mice, or other USB gadgets.

The ESP32-H2-DevKitM-1 is designed for creating applications that use Bluetooth 5.2 LE, Zigbee, Thread, or Matter for connectivity. It includes two USB Type-C ports, buttons for booting and resetting, an RGB LED, and two 15-pin rows that reveal all the inputs and outputs from the ESP32-H2-MINI-1 module. This setup makes it a versatile choice for various IoT and connectivity projects.

Features and Specifications of ESP32-H2-DevKitM-1 Board

  • Wireless Module: ESP32-H2-MINI-1
  • Microcontroller (MCU): Espressif Systems ESP32-H2 32-bit RISC-V microcontroller, up to 96 MHz with 320 KB SRAM, 128 KB ROM, 4 KB LP memory
  • Memory & Storage:
    • 320 KB SRAM
    • 128 KB ROM
    • 4 KB LP memory
    • 4MB flash storage
  • Wireless Capabilities:
    • Bluetooth 5.2 LE/Mesh
    • 802.15.4 radio (Zigbee/Thread/Matter)
  • I/O Ports:
    • 2x USB Type-C ports (one USB 2.0 Full Speed host, one USB UART via CP2102 chip)
    • 2x 15-pin headers with 19 programmable GPIOs
    • Interfaces: 2x UART, 3x SPI, I2C, I2S, Remote Control Peripheral, LED PWM, Full-speed USB Serial/JTAG Controller, GDMA, MCPWM
  • Other Features:
    • Power LED, RGB LED
    • Boot and Reset buttons
  • Networking: PCB antenna
  • Power Supply: 5V via USB Type-C port, 5V to 3.3V LDO
  • Dimensions: 48.26 x 25.40 mm
  • Extras: J5 for current measurement

The block diagram below shows the components of ESP32-H2-DevKitM-1 and their interconnections.

The documentation for the ESP32-H2-DevKitM-1 provides additional hardware details with a getting-started guide for using the ESP-IDF framework. It’s important to note that Arduino Core for ESP32 doesn’t work with it at this time. The document also includes a pinout diagram for the board.

The ESP32-H2-DevKitM-1 is available on Aliexpress, but the ESP32-H2-MINI-1 module isn’t yet, likely due to pending mass production.

WiSer is a Wireless Serial Adapter for Cable-Free Data Transfer

WiSer enables wireless, peer-to-peer serial connections between devices, allowing for debugging, data logging, firmware updates, and file transfers without USB cables, Wi-Fi, or Bluetooth. It's simple and efficient, requiring no software, drivers, or setup. Just connect the USB module to your computer and the TTL module to your device, and use your serial monitor wirelessly.

WiSer is a USB-to-UART converter with a wireless twist. This pair of devices will let you establish a wireless serial connection between a host and a target device, which makes this ideal for remote monitoring, wireless data logging, telemetry, and various other applications.

Based on my experience, this device is useful in many situations. It’s helpful when you need to isolate the analog ground from the digital ground, or when dealing with high-voltage and low-voltage grounds that mustn’t be connected.

One key strength of the WiSer is that it simplifies connections by replacing USB cables, Wi-Fi, and Bluetooth setups. Just connect its USB module to a computer and a TTL module to the target device, without extra software or complex setup. It works like a virtual cable, making connections much easier.

WiSer offers two configurations, WiSer-USB and WiSer-TTL, both featuring an ESP32-S2 Wi-Fi SoC for strong connectivity. It supports various baud rates and data formats. For simplicity the device includes “FIND PAIR” and “BOOT” buttons. The compact design of both units is practical for use. Taking a look at operating systems this device is compatible with Windows, Linux, Mac, and Android, and works with serial terminal software like PuTTY and Tera Term, making it a versatile tool for diverse applications.

WiSer made all the code, hw, and docs open sourced, you can get that on GitHub. It comes in various packages including:

  • WS-UT-BM: Includes one WiSer-USB and one WiSer-TTL device, both with loose header pins.
  • WS-UT-EN: Features a WiSer-USB device and a WiSer-TTL device, each with mounted header pins and enclosures.
  • WS-UU-EN: Contains two WiSer-USB devices, ideal for host-to-host communication.

WiSer Wireless Serial Adapter: Quick Specs

  • Core: ESP32-S2 Wi-Fi SoC.
  • Setup: Driverless, plug-and-play.
  • Compatibility: USB Type-C; Windows, Linux, Mac, Android.
  • Wireless: 2.4 GHz peer-to-peer communication.
  • Security: AES-CCMP encryption.
  • Baud Rates: Up to 921,600 baud; multiple data formats.
  • Flow Control: Software, hardware, or none.
  • Extras: DTR pin, indicator LEDs, “FIND PAIR” and “BOOT” buttons.
  • Open-Source: Accessible source code and design.
  • Dimensions: WiSer-USB: 37.8 x 20.4 x 8.2 mm; WiSer-TTL: 36.5 x 38.4 x 9.8 mm (smaller without enclosures).

Bitmerse hasn’t disclosed pricing yet but plans to start a CrowdSupply campaign soon. on the other hand, Hackaday recently featured a detailed guide and insights on using WiSer.

UPDATE 31/01/2024: The CrowdSupply campaign is live.

The OKdo ROCK 3 CM3S is Powered by RK3566 SoC

The OKdo ROCK 3 CM3S is a compact compute module based on the RK3566, equipped with up to 2GB LPDDR4X RAM. Designed for advanced IoT and embedded systems, it offers robust computing and graphics performance.

The OKdo ROCK 3 CM3S is a compact compute module based on the RK3566, equipped with up to 2GB LPDDR4X RAM. Designed for advanced IoT and embedded systems, it offers robust computing and graphics performance.

We have previously explored similar System on Modules (SoMs) such as the Turing RK1Variscite’s VAR-SOM-MX93, and MYIR MYC-JD9360. Feel free to check them out if you’re interested.

The RK3566 features a Quad-core Cortex-A55 CPU (up to 1.8GHz), ARM Mali G52 GPU, and 0.8 TOPS@INT8 NPU for efficient processing. It offers up to 2GB LPDDR4X RAM and 32GB eMMC 5.1 storage and includes the AMPAK AP6212 with Wi-Fi 4 and Bluetooth 4.2 for wireless connectivity.

Other features interfaces and expansion options include SATA 3.0/PCIe 2.1 combo port, USB 2.0 OTG, and various IO ports for extensive peripheral connectivity.

The device is compatible with the ROCK CM3 SODIMM I/O Board in a Half mini-ITX form, featuring multiple USB ports, PCIe and SATA connectors, a microSD slot, an Ethernet port, and a 40-GPIO pin header.

Specifications and Features of OKdo ROCK 3 CM3S SODIMM:

  • Processor:
    • CPU: Quad-core Arm® Cortex®-A55 (ARMv8) 64-bit @ 1.6GHz
  • Graphics & Neural Processing Unit:
    • GPU: Arm Mali™-G52-2EE
    • Supports OpenGL®1/2.0/3.0/3.1/3.2, Vulkan® 1.1, OpenCL™ 2.1
    • NPU: 8 TOPs@INT8, compatible with TensorFlow, Caffe, Tflite, Pytorch, Onnx, Android™ NN
  • Memory & Storage:
    • Memory: 32bit LPDDR4X 1GB
    • Display Support: HDMI2.0, Dual MIPI-DSI
  • Video & Audio Capabilities:
    • Video: 4K H.265/H.264/VP9 decoder, 1080p@60fps H.264/H.265 encoder
    • Video Input: 8M Pixel ISP, 1 x 4 lanes or 2 x 2 lanes MIPI CSI-2, DVP interface
    • Audio Interface: I2S0/I2S1 (8 channels), IS2/I2S3 (2 channels)
  • Connectivity & Interfaces:
    • High-Speed Interfaces: SATA 3.0/PCIe 2.1 combo port, USB 2.0 OTG
    • Additional Ports: PCIe 2.0 (1 lane), SATA 3.0 (shared with PCIe), USB 2.0 OTG, SDIO 3.0
    • HDMI: Up to 4K x 2K@60Hz
    • Camera Ports: 2 x 2 lane or 1 x 4 lane MIPI CSI
    • Display Ports: 1 x MIPI DSI 2 lane, 1 x MIPI DSI 4 lane
  • Security Features:
    • Includes Arm TrustZone®, Secure Video Path, Secure JTAG, Secure boot, OTP, Crypto (AES/TDES/SM4/SM3/SHA256/SHA512/RSA)
  • General Interfaces:
    • Up to 5 x I2C, 3 x SPI, 8 x UART, 12 x PWM, 60x GPIO, 1 x ADC, 2 x I2S
  • Power & Mechanical:
    • Power Input: 3V ~ 5V
    • Connector: 260 pins SODIMM golden finger edge connector
    • Form Factor: DDR2 SODIMM, dimensions 67.6mm x 32mm
  • Compatibility & Applications:
    • Operating Systems: Compatible with Ubuntu 20.04, Debian 10, Buildroot, YOCTO, Android 11/12
    • Ideal for robotics, HMI, vending machines, smart home applications, IoT gateways, industrial control solutions, and more.

The module is compatible with Ubuntu 20.04, Debian 10, Buildroot, YOCTO, and Android 11/12, with additional resources available on the Radxa Wiki for the Compute Module 3 Series.

OKdo offers three SODIMM module options:

When it comes to the ROCK CM3 SODIMM I/O Board it is priced at £45.64.

ED-IPC3020: A Raspberry Pi 5-Powered Industrial Computing Solution

EDATEC, a specialist in embedded and industrial electronics, has introduced a groundbreaking product in industrial computing—the ED-IPC3020. This industrial computer is powered by the Raspberry Pi 5 and stands out as the first of its kind to support M.2 NVMe storage, a significant leap forward in the industry.

The Raspberry Pi 5 that drives the ED-IPC3020 boasts a powerful quad-core 2.4GHz Arm Cortex-A76 processor, providing robust computing capabilities to effortlessly handle complex tasks. Housed in a sturdy fanless chassis, the ED-IPC3020 is a compact and reliable solution ideal for industrial computing needs.

ED-IPC3020-block-diagram
ED-IPC3020-block-diagram

A standout feature of the ED-IPC3020 is its support for M.2 NVMe solid-state storage through an adapter board. This particular feature enables high-speed and high-capacity storage—an essential requirement in industrial settings where large volumes of data are frequently processed and stored.

The ED-IPC3020, an industrial computing solution powered by the Raspberry Pi 5, introduces noteworthy features catering to technical requirements. Beyond its substantial storage capabilities, the device offers a diverse selection of ports, encompassing Ethernet, USB 3.0, USB 2.0, RS485, RS232 serial ports, and stereo analog audio in and out. This broad connectivity range enhances its utility in various industrial computing scenarios.

Display functionality is a standout feature, with dual 4Kp60 HDMI display output providing high-quality visuals. The inclusion of a built-in RTC further augments its functional capabilities. On the software side, the ED-IPC3020 accommodates multiple operating systems, including the Raspberry Pi OS, affording users a tailored computing experience.

ED-IPC3020
ED-IPC3020

Wireless connectivity is a notable technical aspect, with support for dual-band 802.11ac Wi-Fi and Bluetooth 5.0, facilitating seamless integration with wireless networks and devices. Designed to operate within a wide temperature range (-25°C to 60°C), the device proves suitable for deployment in environments with extreme conditions. Regulatory certifications from the FCC and CE underscore its adherence to quality and safety standards.

Offered with a choice of 4GB or 8GB of RAM, the ED-IPC3020 presents an economically priced starting point of $165, positioning itself as a cost-effective solution for industrial computing. EDATEC’s ED-IPC3020 emerges as a technically robust choice, integrating a potent Raspberry Pi 5 processor, M.2 NVMe storage support, an array of ports, versatile software options, and resilient build quality. Its wireless capabilities, regulatory adherence, and RAM customization contribute to its technical prominence in the industrial computing landscape. For comprehensive specifications, refer to the official EDATEC website.

The ED-IPC3020 with 4GB RAM and a 32GB MicroSD card costs $165.00 while the 8GB RAM version is listed for $207.00 on the EDATEC’s AliExpress page.

Seeed Studio’s New Wio Tracker Now Supports Amazon Sidewalk

The Seed Studio's Wio Tracker 1110 Dev Kit now comes with Amazon Sidewalk IoT support for efficient tracking solutions, priced at $30.90.

Seed Studio has upgraded its Wio Tracker with support for Amazon’s Sidewalk IoT Network. Based on the established Wio Tracker 1110 model it’s now offering Amazon Sidewalk (LPWAN) IoT connectivity in the US.

Amazon Sidewalk is a secure community network that connects IoT devices via Amazon Sidewalk Gateways, like certain Echo and Ring devices, using long-range, low-bandwidth connectivity. Covering over 90% of the U.S., it combines Bluetooth Low Energy(BLE) and radio protocols like LoRa for efficient, wide-range communication without relying on cellular data or Wi-Fi.

Kezang Loday, from Seed Studio, recently shared insights that caught my attention:

At Seeed Studio, we’re always on a mission to make cutting-edge technologies easier and more accessible. That’s why we’re excited to introduce this LPWAN Asset Tracker Dev Kit for Amazon Sidewalk based on our Wio Tracker 1110, designed to simplify how you build indoor and outdoor tracking solutions on the emerging Amazon Sidewalk network.

The WM1110 LPWAN Asset Tracker Dev Kit offers geolocation with GNSS, Wi-Fi Sniffer, and Bluetooth Scanning for versatile indoor/outdoor tracking. It includes a temperature/humidity sensor (SHT41), and 3-axis accelerometer (LIS3DHTR), and supports ADC/UART and IIC protocols, compatible with 300+ Grove modules.

Learn to build an asset tracker with Amazon Sidewalk and AWS IoT Core using the LPWAN Asset Tracker Dev kit. At AWS re: Invent 2023, over 200 developers attended the IOT303 Asset Tracking Workshop, creating solutions with the kit, Amazon Sidewalk, AWS IoT Core, and Amazon Location Service.

The development board, based on Seeed Studio’s Wio Tracker 1100, features a Semtech LR1110 transceiver and a Nordic Semiconductor nRF52840 system-on-chip. It supports Bluetooth Low Energy (BLE) and LoRa/FSK for Amazon Sidewalk network connectivity.

Specifications and Features of the Wio Tracker 1110 Dev Board:

  • LoRa and Positioning (Semtech LR1110):
    • Frequency Plan: 863~928MHz
    • Sensitivity: -125dBm @125K/SF7, -141dBm @125K/SF12
    • Output Power: 20dBm max @LoRa®
    • Positioning Technology: GNSS (GPS/BeiDou), WiFi Sniffer
    • Range: 2~10km (depends on antenna and environment)
  • Bluetooth (Nordic nRF52840):
    • Bluetooth Version: Bluetooth 5.3
    • Flash Memory: 1MB
    • RAM: 256KB
    • Protocol: Bluetooth LE, Bluetooth mesh, Thread, Zigbee, 802.15.4, ANT, 2.4 GHz proprietary stacks
    • Output Power: 6dBm max @Bluetooth
  • Onboard Sensors:
    • TH Sensor (SHT41):
      • Temperature Range: -40~125°C (Accuracy ± 0.2°C)
      • Humidity Range: 0~100%RH (Accuracy ±1.8%RH)
    • 3-Axis Accelerometer (LIS3DHTR):
      • Range: ±2g, 4g, 8g, 16g
      • Bandwidth: 0.5Hz ~ 625Hz
      • Sensitivity (LSB/g): 1000 (±2g) ~ 83 (±16g)
  • General:
    • Voltage Supply: 5V (USB 2.0 Type-C)
    • Battery Connector: 4.5V
    • Interface:
      • RFIO
      • GNSS Antenna Connector x 1
      • LoRa Antenna Connector x 1
      • USB Type-C x 1
      • Grove Interface: ADC x 1, I2C x 1, UART x 1, Digital x 3
    • Buttons: USER (configurable), RESET
    • External FLASH Memory: 2M

The Wio Tracker 1110 Dev Kit includes the Dev Board itself, a 3.7V-1000mAh Lithium-ion Battery, 3M thick bubble cotton double-sided adhesive, and is packaged in a plastic box.

The development board is available for $30.90 on Seeed Studio’s web store. As of now, Amazon’s Sidewalk network is limited to the US.

EasyNixie Is A Nixie Tube Driver Module for Arduino

Eas Nixy, a $19.00 Arduino-based Nixy tube driver, aims to alleviate the traditional challenges associated with working with Nixy tubes. Designed and engineered by Aleksei Karavaev, this device, adorably named EasyNixie, is touted by him as 'a simpler and safer way to drive Nixies'.

EasNixy, a $19.00 Arduino-based Nixy tube driver, aims to resolve the challenges associated with working with Nixy tubes. Designed and engineered by Aleksei Karavaev, this device, adorably named EasyNixie, is touted by him as ‘a simpler and safer way to drive Nixies’.

In a recent Hackaday article Karavaev comments:

I have been fascinated by nixie tubes ever since I discovered what they are. So strange, so old school, so ‘warm’. Unfortunately, they are also hard to control and can be dangerous if not handled properly.

He continues [Five years ago when I began exploring electronics, I attempted to build a project with a PIC16 MCU. Unfortunately, it resulted in a classic case of spaghetti code, and I failed]

So after five years, he revisited the project and as a result, we got ourselves the EasyNixie project. In the same Hackday post, Karavaev discusses three main challenges in driving Nixie tubes:

  • A need for high, non-standard 180VDC voltages, which are much higher than what standard electronic components usually require.
  • Numerous control pins are needed because each digit in a Nixie tube has its cathode.
  • Unique pin positions that require special sockets, due to the non-standard design of Nixie tubes.

The Easy Nixy project solves this problem through a unique design called a smart socket which makes this board compatible with various Nixy Tubes, The board takes a 3.3V input and converts it into 180V with a constant current that is required to drive a Nixy Tube.

Karavaev’s design includes dual 74hc595 shift registers in the EasyNixie modules to streamline wiring, allowing control of the Nixie tube’s cathodes with just three pins. Additionally, a daisy-chain configuration enables the connection of multiple modules.

Feature of EasyNixie – Nixie Tube Driver

  • Core Features:
    • Arduino Compatibility
    • Low-Voltage Operation (3.3V)
    • High-Voltage Step-Up (200V)
    • Dual 74hc595 Shift Registers
  • Usability and Compatibility:
    • Stackable Design for Multiple Displays
    • Arduino Library for Easy Interface
    • Compatible with Various Nixie Tubes (IN-12A/B, IN-15A/B, IN-17, etc.)
  • Design and Safety:
    • Decimal Point Support
    • Detailed Energy Consumption Data
    • Safety Features: Safety Fuse, Thermal Shutdown
  • Programming and Support:
    • EasyNixie Library on GitHub
    • YouTube Tutorial Video
    • 3D Model for Planning
  • Testing and Environmental Responsibility:
    • Extended Testing for Longevity and Safety
    • RoHS Compliant for Environmental Safety
  • Applications:
    • Suitable for Clocks, Multimeters, FM Radios, etc.

Following a successful Kickstarter campaign, Aleksei Karavaev’s EasyNixie is now available for $19 on Tindie. For additional details, refer to this Hackster or visit the Kickstarter page.

IBM Advances Quantum Computing Roadmap with Heron Chip and System Two Launch

IBM has recently revealed updates to its quantum roadmap, marking a significant milestone by introducing the 133-qubit Heron chip and the groundbreaking System Two quantum computer. Heron stands out as the inaugural member of a new series of scalable quantum processors, meticulously engineered over four years to achieve IBM’s peak performance metrics and minimal error rates. Notably, it leverages generative AI to simplify quantum code development for programmers.

The Heron processor, boasting 133 qubits and 5000 gates, paves the way for future developments. Following Heron, IBM plans to introduce four variations of the Flamingo quantum chip, each featuring 156 qubits and a progressive increase in gates from 5000 to 15000.

Looking ahead, the Starling chip, incorporating full quantum error correction, is slated for 2029, offering 200 qubits and 100 million gates. Further, into the future, the Blue Jay processor is on the horizon for 2033, projecting an impressive 1 billion gates and 2000 qubits.

In addition to these quantum processors, IBM unveiled the Quantum System Two, marking the company’s foray into modular quantum computing. Positioned as the cornerstone of IBM’s quantum-centric supercomputing architecture, the Quantum System Two, located in Yorktown Heights, New York, is now operational with three IBM Heron processors and supporting control electronics. This development reinforces IBM’s commitment to pushing the boundaries of quantum computing capabilities.

“We are firmly within the era in which quantum computers are being used as a tool to explore new frontiers of science,” said Dario Gil, IBM SVP and Director of Research. “As we continue to advance how quantum systems can scale and deliver value through modular architectures, we will further increase the quality of a utility-scale quantum technology stack – and put it into the hands of our users and partners who will push the boundaries of more complex problems.”

Earlier this year, IBM demonstrated quantum algorithms on its powerful 127-qubit ‘Quantum Eagle’ processor. Unlike classical computers, quantum computers use the principles of quantum mechanics to solve complex problems in chemistry, physics, and materials more efficiently.

Now, IBM has introduced the System Two machine, which is five times more powerful than the Quantum Eagle system. It combines a scalable cryogenic infrastructure (used to keep the quantum processor extremely cold) and classical runtime servers with modular qubit control electronics.

As part of IBM’s ten-year Quantum Development Roadmap, this new system will not only support the current quantum processor but also future generations. IBM aims to gradually improve these future processors so they can handle more complex and larger workloads, extending the capabilities of quantum computing. This roadmap outlines IBM’s plan to advance quantum computing over the next decade.

IBM is introducing new tools to make it easier for developers to write code for quantum computers. Qiskit Patterns is a set of tools that helps developers map classical problems, optimize them for quantum circuits, and execute them using Qiskit Runtime. With Qiskit Patterns and Quantum Serverless, users can create and run workflows that combine classical and quantum computing in different environments, like the cloud or on-premises.

IBM is also using generative AI, called Watsonx, to automate the development of quantum code for Qiskit. This involves fine-tuning the IBM Granite model series, making it simpler for developers to work with quantum algorithms. Overall, these tools aim to provide building blocks for users to build and run quantum algorithms easily. Readers can get more detailed information on theofficial product page.

Jasper Devreker Aims to Fully Open-Source the ESP32 Platform

Jasper Devreker, a computer science student at Ghent University, is working to make the ESP32 truly open-source by reverse-engineering a WiFi MAC layer for the ESP32.

We know the ESP series for its exceptional price-to-performance ratio, and it also includes ESP-IDF, the open-sourced framework and toolchain for ESP-based controllers. You can modify your code to some extent, but you cannot alter the code for the RF part, mainly the Wi-Fi and Bluetooth because they are distributed as binaries with the ESP-IDF.

The solution to this problem is straightforward: Reverse Engineering. By reverse engineering the wireless part you can have full control over the radio module of the ESP-32. with that in mind developers, like Devreker, are building upon the work initiated by Uri Shaked in 2021 and Martin Johnson in 2022.

Devreker explains,

We connect [the] antenna connector to a 60dB attenuator (this weakens the signal by 60dB),” Devreker continues, “then connect that to the antenna connector of the wireless dongle. That way, we’ll be able to receive only the packets coming from the ESP32, and the ESP32 will only receive packets sent by the wireless dongle.

By placing the device in a Faraday cage and using the mentioned method, they analyzed the hardware’s lifecycle during packet transmission. This led to the development of proof-of-concept firmware, enabling independent packet transmission and reception without relying on Espressif’s SDK.

That is an impressive feat, but the initialization code still depends on Espressif’s code blob. However, Devreker and his team say that when the reverse-engineering process is complete, they will be able to implement channel switching, data rate adjustment, TX power control, and an open-source WiFi initialization sequence.

In the long term, the focus will be on enhancing features such as modem power saving by turning off the modem when idle, implementing AMSDU, AMPDU, HT40, QoS, moving WPA2 cryptography from software to hardware, adding Bluetooth support, and creating SVD documentation for all reverse-engineered registers.

The complete project details are on Ghent University’s Zeus WPI website, including a post about the packet-reception breakthrough. The source code is available on GitHub under the MIT license. You can also check out Hackster or CNX-Software posts for additional information.

OpenEPaperLink Mini-AP v3 is A Zigbee-WiFi Gateway for the OpenEPaperLink Project

The OpenEPaperLink Mini-AP v3 is a multifunctional gateway for home E-Paper display systems. It supports JPG images and integrates with HomeAssistant, enhancing smart home capabilities. With the OpenEPaperLink Mini-AP v3, you can control all your ePaper tags effortlessly.

Previously we have covered many paper displays like the Inkplate 5, Inkplate 10, and Pimoroni PIM534 among others, you can check those out if interested.

This device is built around an ESP32-S3 and incorporates an ESP32-C6 as a radio interface. When it comes to communication these devices use unencrypted, Zigbee-like (IEEE 802.15.4) packets on 2.4 GHz. The integrated web interface on the ESP32-S3 ensures that the access point is fully autonomous, seamlessly coordinating with electronic shelf labels equipped with the OpenEpaperLink firmware.

According to Electronics by Nic,

If you just want to tinker with Thread or Zigbee instead, you can make this as a WiFi to Thread/Zigbee gateway, possibly use it together with Zigbee2mqtt. But no software is written for it yet if you want to use it that way. Looking forward to seeing some nice implementations!

In simpler terms the Mini-AP v3 serves as a bridge between WiFi and Thread/Zigbee networks, ideal for those who love to experiment with smart home connectivity. While specific software for this functionality is still in the works, the potential applications are boundless.

This device is compatible with various display sizes: 1.54″ (152×152 pixels), 2.9″ (296×128 pixels), and 4.2″, each offering different sizes and resolutions for different display needs.

Features of OpenEPaperLink Mini-AP v3

  • Device Core
    • ESP32-S3 for processing
    • ESP32-C6 for wireless communication
  • Software and Communication
    • Runs OpenEpaperLink software
    • Uses IEEE 802.15.4 (Zigbee-like) packets on 2.4Ghz
  • User Interface and Operation
    • The integrated web interface on ESP32-S3
    • Autonomous operation with OpenEpaperLink firmware devices
  • Display and Integration
    • Displays JPG images on E-Paper screens
    • Custom messages and data display capability
    • Integrates with HomeAssistant for smart home setups
  • Build Options
    • DIY kit for personal assembly
    • A fully assembled and tested version is available
  • Sustainability
    • Compatible with recycled electronic shelf labels

Electronics by Nic Continues [It’s important to note that the OpenEPaperLink Mini-AP v3 is a hobbyist project and should not be used in situations where failure could cause harm or distress.]

The OpenEPaperLink Mini-AP v3 kit includes a 3D-printed SLA resin case, a pre-mounted PCB with SMD components, ESP32-S3-WROOM-1 and ESP32-C6-WROOM-1 modules, a 1.47″ TFT screen, a WS2812B LED, and 5x 0603 SMD LEDs with 2 spares.

Additional information, including Source Code, Documentation, and Datasheet for the Particle Snowflake, is available in the GitHub Repo. For purchasing, the device is readily accessible on Tindie.

Pimoroni launches a new add-on for the Raspberry Pi 5- Aims to beat Raspberry Pi’s own M.2 HAT+ in both performance and availability

NVMe-Base-for-Raspberry-Pi-5

Pimoroni just launched the NVMe Base, a new add-on for the Raspberry Pi 5. It boosts storage and speed by connecting with NVMe SSDs (those in sizes 2230 to 2280). PCIe 3.0, promises faster boot times and quick access to storage. The NVMe Base is straightforward, making your Raspberry Pi 5 work better and look sleek. It’s practical for various uses, especially when you need speedy and reliable project storage.

Moreover, the NVMe Base comes with an extra power connector, handy for users needing more power for their NVMe SSDs. Yet, Pimoroni has observed that the provided flat flex cable works well for a neat and effective x1 connection, even with drives achieving speeds exceeding 800MB/s.

NVMe-Base-for-Raspberry-Pi

On Pimoroni’s product page, it’s noted that most modern PCIe 3 NVMe drives typically benchmark in the range of 600-800MB/s. They also highlight that for users following the Raspberry Pi 5‘s official PCIe 2 specifications, the speed would be roughly half of that, influenced by the SSD’s internal caching and wear-leveling capabilities.

Pimoroni-NVMe-Base
Pimoroni-NVMe-Base

A notable aspect of the Raspberry Pi 5’s release earlier this year was the introduction of a user-accessible PCI Express Gen. 2 lane, marking a first for a mainline Raspberry Pi board. However, this lane is exposed through a custom flat flexible circuit (FFC) cable connector, and the Raspberry Pi hardware team has recently shared its specifications. Pimoroni wants to reassure customers that, while there might be a few tweaks in the final design and hardware, the NVMe Base will still deliver on its promised performance. A preview image provides a glimpse of what the end product will look like.

Responding to questions on Twitter, Pimoroni clarified that there aren’t immediate plans for a dedicated case. Instead, they suggest that the NVMe Base pairs well with the Active Cooler, offering a practical solution. Addressing concerns about power, Pimoroni assured users that the included cable can handle the power needs of various drives, even those with a 3A@3V3 rating.

NVMe Base for the Raspberry Pi 5 is competitively priced at  £13.50. Although currently out of stock, customers can sign up to receive notifications about its availability. Additionally, Pineberry Pi introduced a similar expansion board for the Raspberry Pi 5 a few weeks ago. It expands upon the top variant by accommodating larger M.2 format sizes, including the 2280. This capability is crucial for applications that necessitate high-volume data storage.

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