Reading view

There are new articles available, click to refresh the page.

Hornet Nest Alarm Panel – An Home Assistant-compatible, ESP32 home security automation platform with PoE and 42-zone support (Crowdfunding)

Hornet Nest home security panel in operation

The Hornet Nest Alarm Panel is a customizable, ESP32-based alarm control system designed and produced by US-based Technology Automation Consulting for home security automation. The device is powered by the wESP32 Ethernet board with PoE support and is compatible with Home Assistant through the ESPHome firmware. It features up to forty-two optoisolated zones, six MOSFET-controlled outputs, and six additional trigger outputs for 3.3V devices. It integrates a piezo buzzer and supports add-ons like a Wiegand keypad and water leak sensors. The Hornet Nest Alarm ESP32-based home security platform “aims to bridge the gap between traditional wired security systems and the flexibility of modern smart home automation.” Christopher Greenless of Technology Automation Consulting says the project was born from his need for a robust and smart security system to integrate with his Home Assistant setup. Proprietary solutions were inadequate and limited while DIY options were inefficient and often unreliable. He created [...]

The post Hornet Nest Alarm Panel – An Home Assistant-compatible, ESP32 home security automation platform with PoE and 42-zone support (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

4D Systems Raspberry Pi RP2350 display modules come in touch and non-touch options for embedded applications

gen4-RP2350 RP2350 display modules

4D Systems, an Australian company specializing in intelligent display solutions, has released Raspberry Pi RP2350-powered display modules with touch and non-touch options. The display modules are available in eight different sizes from 2.4-inch to 9.0-inch and different resolutions from 240×320 up to 800×480 pixels. They are “Powered by Raspberry Pi”-certified and leverage the Raspberry Pi RP2350’s dual-core architecture and security features for “secure, professional-grade applications that require modern UI”. 4D Systems is well-known for its high-quality displays designed for developers looking to create sophisticated user interfaces in embedded systems. There are four touch panel options for each gen4-RP2350 display module: non-touch, resistive touch, capacitive touch, and capacitive touch with a cover lens bezel (CLB). The gen4-RP2350 series also features a 30-pin FPC/ZIF socket to fit a 0.5mm pitch FFC for connecting a motherboard or accessory board. We have already covered Waveshare’s RP2350-LCD-1.28 display module but the gen4-RP2350 display modules are [...]

The post 4D Systems Raspberry Pi RP2350 display modules come in touch and non-touch options for embedded applications appeared first on CNX Software - Embedded Systems News.

STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STM32N6 AI Demo

STMicro has announced the availability of the STM32N6 microcontroller series based on the 800MHz ARM Cortex-M55 and the 600 GOPS-capable Neural-ART Accelerator. The STM32N6 is the company’s “newest and most powerful STM32 series,” bringing MPU-level performance to MCUs. It is the first STM32 to feature the Arm Cortex-M55 and offer up to 4.2MB of embedded RAM. Additionally, the chip includes ST’s NeoChrom GPU and an H.264 hardware encoder. According to Remi El-Quazzane, MDRF (Microcontrollers, Digital ICs, and RF Products) President at STMicro, the STM32N6 “marks the beginning of a long journey of AI hardware-accelerated STM32, which will enable innovations in applications and products in ways not possible with any other embedded processing solution.” STMicro offers two versions of the STM32N6 MCU: the STM32N6x7 AI line featuring the Neural-ART accelerator and the STM32N6x5 GP (general-purpose) product line without an NPU. The microcontroller series is primarily targeted at computer vision and audio [...]

The post STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline appeared first on CNX Software - Embedded Systems News.

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 [...]

The post LoRaWAN no code ESP32-S3 development platform offers Arduino MKR, MikroBus, FeatherWing, and Grove expansion (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

SECO launches Mediatek Genio 510 and 700 SMARC SoMs built for industrial and edge AI applications

SECO SOM SMARC Genio510 module with MediaTek Genio510

SECO SOM-SMARC-Genio500 and SOM-SMARC-Genio700 are two new SMARC system-on-modules products powered by MediaTek Genio 510 and 700 Cortex-A78/A55 series SoCs. These industrial modules are designed for high power efficiency and offer reduced energy consumption even during intensive edge AI workloads, and are suitable for retail touchscreens, intelligent industrial sensors, advanced conferencing systems, and dynamic digital signage. Both modules feature up to 8GB LPDDR4 memory, 64GB eMMC flash, two Ethernet interfaces via RGMII and USB, an optional M.2 slot for a Wi-Fi/Bluetooth module, and camera inputs. We’ve previously considered Via’s offerings with the same MediaTek Genio 700 application processor: a SMARC module, a single-board computer, and a fully embedded system. The IBase ISR500 is another option featuring the Mediatek Genio 510 or Genio 700. SECO SOM-SMARC-Genio700 & SOM-SMARC-Genio510 specifications: SoC (one or the other) SOM-SMARC-Genio700 – MediaTek Genio 700 (MT8390) CPU – Octa-core processor with 2x Cortex-A78 cores @ up to [...]

The post SECO launches Mediatek Genio 510 and 700 SMARC SoMs built for industrial and edge AI applications appeared first on CNX Software - Embedded Systems News.

ESP32-based YULC USB-C LED Controller features dual power inputs, supports WLED and ESPHome firmware

YULC complete assembly

The YULC (Yes, a USB-C LED Controller) board is a compact, ESP32-S3-powered LED controller with USB-C and DC jack power inputs. It is a fully featured board that can easily replace a rat’s nest of wires and save space and time. This ESP32 LED controller features a built-in buck regulator that converts input power from the USB-C port or barrel jack to the voltage needed for the LED strips. The YULC provides two separate LED channels with a level shifter each to ensure clean and powerful data output, removing the need for a sacrificial pixel or external level shifter. Each channel also has a power MOSFET that can turn off the channels individually and dim simple LED strips via PWM. AAElectronics, the maker, has previously released an IR remote—the Home Assistant-compatible ESP 360 Remote—which we covered at the time. Similar products include the SMLIGHT A1-SLWF-03, DFRobot’s EDGE102-DMX512, and the PixelBlaze [...]

The post ESP32-based YULC USB-C LED Controller features dual power inputs, supports WLED and ESPHome firmware appeared first on CNX Software - Embedded Systems News.

STMicro releases IO-Link actuator board for industrial monitoring and home appliances

STMicro EVLIOL4LSV1 IO-Link actuator board

STMicro has announced the EVLIOL4LSV1 IO-Link actuator board, an STM32G071CB Cortex-M0+ MCU-based reference design for commercial manufacturers with a built-in protocol stack and application software. Aimed at industrial beacons and home-appliance alarms, the EVLIOL4LSV1 combines the L6364Q dual-channel IO-Link transceiver (communications) and IPS4260L intelligent low-side power switch (for driving industrial loads). The EVLIOL4LSV1 IO-Link actuator board is powered by an STM32G071CB Arm-Cortex-M0+ microcontroller that hosts the proprietary stack and application software and communicates with the transceiver and low-side power switch. The evaluation board can be used to test the IPS4260 and L6364Q ICs. It features a 4-pin M12 connector for an IO-LINK master and a 5-pin SWD connector for programming. It can also directly interface with signaling systems, ranging from smart tower lights in factory automation to funnel alarms for quantity monitoring. The onboard transceiver is protected against electromagnetic interference and supports COM2 and COM3 speeds. It offers multiple modes [...]

The post STMicro releases IO-Link actuator board for industrial monitoring and home appliances appeared first on CNX Software - Embedded Systems News.

ESP32 Rainbow is an open-source, ESP32-S3-powered ZX Spectrum single board computer (Crowdfunding)

ESP32 Rainbow

Retrocomputing enthusiasts will be delighted to learn that a new ZX Spectrum replica is on the market: the ESP32 Rainbow. The single board computer swaps the Zilog Z80 for an ESP32-S3 microcontroller chip running an emulator, bringing the classic 80s computer back to life with a modern twist. It features a built-in color display, a microSD card slot for storage, a built-in touch keyboard in the ZX Spectrum style, and a USB Type-C port for power and data. The keyboard was recreated using full-color UV printing and is the most true-to-life component of the ESP32-S3-based ZX Spectrum single board computer. The touch keys won’t likely offer the best typing experience but that is reminiscent of the original ZX Spectrum. A lovely cherry on top is that the onboard USB-C port supports HID and the device can be used as a keyboard on another computer. The ZX Spectrum is one of [...]

The post ESP32 Rainbow is an open-source, ESP32-S3-powered ZX Spectrum single board computer (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

Qualcomm QCC730M dual-band WiFi 4 and QCC74xM WiFi 6, BLE 5.3, and 802.15.4 modules target low-power and IoT edge devices

Qualcomm QCC730M module

Qualcomm has added two new IoT modules to its wireless connectivity product series: the Qualcomm QCC730M ‘micro-power’ WiFi 4 module and the QCC74xM tri-radio module, with both modules designed for smart homes, smart appliances, medical devices, and industrial applications. The Qualcomm QCC730M is a dual-band, micro-power Wi-Fi 4 module with a 60MHz Arm Cortex-M4F MCU, 640kB SRAM, 1.5MB RRAM, hardware crypto accelerator, and secure boot, debug, and storage. Its low-power design is ideal for portable, battery-powered IoT devices like IP cameras, sensors, and smart locks. Based on the Qualcomm QCC730 module, it features a 36-pin LGA package with a PCB antenna or RF connector and supports up to 4MB of optional NOR flash. The Qualcomm QCC74xM is Qualcomm’s “first programmable connectivity module,” integrating a 32-bit RISC-V module, optional stacked memory (PSRAM and NOR flash), and a tri-radio chipset for WiFi 6, Bluetooth 5.3, and IEEE 802.15.4 (Thread and Zigbee). Its [...]

The post Qualcomm QCC730M dual-band WiFi 4 and QCC74xM WiFi 6, BLE 5.3, and 802.15.4 modules target low-power and IoT edge devices appeared first on CNX Software - Embedded Systems News.

CYOBot v2 ESP32-S3-based open-source modular robotics platform supports up to 16 servos (Crowdfunding)

CYOBot v2 ESP32-S3 modular robotics platform

Create Your Own Bot (CYOBot) v2 is an open-source, modular robotics platform for students, educators, hobbyists, and future engineers based on the ESP32-S3 microcontroller and featuring up to 16 servo motors for complex control. The CYOBot v2 is a follow-up to the previous quadrupedal robotic platform from the same company. It adds new features such as a modular design, an upgrade to the ESP32-S3 chip, more motor channels, and an expansion block with more peripherals. It also supports integrating AI systems, such as ChatGPT, for added functionality. The CYOBot supports up to three configurations via the CYOBrain — which powers the robotics platform and controls the servo motors — and separate 3D-printed components. The CYOBot Crawler is a four-legged robot powered by eight 180-degree servo motors. The CYOBot Wheeler form factor features four 360-degree motors linked to wheels at the end of each leg and is essentially a hybrid between [...]

The post CYOBot v2 ESP32-S3-based open-source modular robotics platform supports up to 16 servos (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

STMicro STSPIN32G0 3-phase motor controllers support up to 24V for portable appliances, up to 600V for industrial automation

STSPING0A1A2 3 phase controller

STMicro STSPIN32G0 is a new series of advanced 3-phase motor controllers with variable voltage ranging from 45V to 600V that extend STMicro’s portfolio of devices with an integrated MCU and motor driver. The new series combines a triple-half bridge gate driver with the Arm Cortex-M0+-based STM32G0 microcontroller and is capable of handling six-step and field-oriented control (FOC) algorithms. The integrated design of the STSPIN32G0 series offers cost-savings and “significant BOM area reduction without compromising performance and robustness.” There are two main versions of the STSPIN32G0 series, low-voltage and high-voltage. The low-voltage 3-phase motor controllers include a voltage regulator, one or three shunts, and a gate driver rated at 45V and up to 0.6A. They are mainly targeted at home appliances, power tools, and drones. The high-voltage versions can handle either 250V or 600V, making them suitable for industrial inverters and fans. They are targeted at home appliances, air conditioners, home [...]

The post STMicro STSPIN32G0 3-phase motor controllers support up to 24V for portable appliances, up to 600V for industrial automation appeared first on CNX Software - Embedded Systems News.

iBASE IB962 3.5-inch SBC features Intel Core Ultra 5/7 SoC, up to 64GB SODIMM memory, and three M.2 slots

IB962 3.5 inch SBC side view

iBASE Technology has unveiled the IB962 3.5-inch single-board computer (SBC) powered by the Intel Core Ultra 5/7 100 Series processor family (formerly Meteor Lake U/H) and delivering an “optimal balance of performance and power efficiency.” The IB962 3.5-inch SBC mostly follows the IB961 board‘s design, offering more powerful SoC options, more system memory, and an HDMI 2.0 display interface supporting 4K resolution at 60Hz. It provides dual Gigabit Ethernet networking, three USB 3.2 ports (two via pin headers), three USB 2.0 ports, and three M.2 slots (M-Key + E-Key + B-Key) for networking, storage, and cellular communication. While IB962 is not a single-board computer in the strictest sense since it uses SODIMM sockets, it is still quite compact and useful for portable or space-constrained applications. It is intended for industrial automation, manufacturing, retail, entertainment, healthcare, and various edge AI applications. It is a larger alternative to AAEON’s PICO-MTU4 Pico-ITX SBC [...]

The post iBASE IB962 3.5-inch SBC features Intel Core Ultra 5/7 SoC, up to 64GB SODIMM memory, and three M.2 slots appeared first on CNX Software - Embedded Systems News.

Signaloid C0-microSD is an iCE40UP5K FPGA SoM in the microSD card form factor (Crowdfunding)

Signaloid iCE40UP5K FPGA SoM in use

Cambridge-based hardware and cloud computing company, Signaloid has begun crowdfunding for the C0-microSD – a tiny, programmable iCE40UP5K FPGA system-on-module (SoM) in a microSD card form factor. It comes preloaded with a RISC-V softcore and users can also load custom FPGA designs onto the board. Part of the Signaloid C0-microSD’s unique appeal is its SD card form factor, which allows it to fit in unused full SD or microSD slots. This allows the implementation of FPGA-based hardware acceleration in systems without traditional expansion interfaces like PCIe M.2 slots. It can also be interfaced with as a standard SD block device and used to bring hardware-accelerated data processing to existing industrial automation, manufacturing, and robotics systems. The iCE40UP5K FPGA SoM has two main use cases: a hot-pluggable FPGA module or a hot-pluggable RISC-V co-processor module. The SD interface allows you to load custom FPGA bitstreams and applications onto the module from [...]

The post Signaloid C0-microSD is an iCE40UP5K FPGA SoM in the microSD card form factor (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

Renesas RA8E1 and RA8E2 entry-level Arm Cortex-M85 MCUs target cost-sensitive applications

Fast Prototyping Board for Renesas RA8E1

Renesas has expanded its Arm Cortex-M85-based RA8 series to include two new entry-level MCUs, RA8E1 and RA8E2. The new microcontrollers perform similarly to other Arm Cortex-M85-based microcontrollers and are offered at a lower price point thanks to a streamlined feature set to reduce costs. The RA8E1 and RA8E2 groups of microcontrollers will be useful for high-volume applications in industrial and home automation, healthcare, office equipment, and consumer products. We have previously covered other models in Renesas’ RA8 series, including the Renesas RA8T1, RA8D1, and the very first Cortex-M85 microcontroller, the Renesas RA8M1. The RA8 series consists of microcontrollers based on the Arm Cortex-M85 core with a performance of 6.39 CoreMark/MHz and Arm’s M-Profile Vector Extension which provides a 4x performance boost for DSP and ML workloads while maintaining low power consumption. The RA8E1 and RA8E2 Cortex-M85 microcontroller groups differ mostly in clock speed, available internal and external memory, communication interfaces, [...]

The post Renesas RA8E1 and RA8E2 entry-level Arm Cortex-M85 MCUs target cost-sensitive applications appeared first on CNX Software - Embedded Systems News.

M5Stack releases AX630C-powered offline “Module LLM” for local smart home and AI applications

M5Stack Module LLM

The M5Stack Module LLM is yet another box-shaped device from the company that provides artificially intelligent control without internet access. It is described as an “integrated offline Large Language Model (LLM) inference module” which can be used to implement local LLM-based solutions in smart homes, voice assistants, and industrial control. Module LLM is powered by the AX630C SoC, equipped with 4GB LPDDR4 memory, 32GB storage, and a 3.2 TOPS (INT8) or 12.8 TOPS (INT4) NPU. M5Stack says the main chip has an average runtime power consumption of 1.5W, making it suitable for long-term operation. It has a built-in microphone, speaker, microSD card slot, and USB OTG. The USB port can connect peripherals such as cameras and debuggers, and the microSD card slot supports cold and hot firmware updates. The M5Stack Module LLM joins the list of other offline, on-device LLM-based solutions, such as the SenseCAP Watcher, Useful Sensors’ AI in [...]

The post M5Stack releases AX630C-powered offline “Module LLM” for local smart home and AI applications appeared first on CNX Software - Embedded Systems News.

USB Insight Hub is an open-source, ESP32-S2-based tool for testing USB devices (Crowdfunding)

USB Insight Hub testing tool

The USB Insight Hub is a USB testing tool based on the ESP32-S2 wireless SoC made by Ecuador-based company Aerio Solutions SAS and aimed at developers and tech enthusiasts. The Insight Hub connects to a computer via a USB Type-C port and expands it to three downstream ports, each with a 1.3-inch color display screen that displays information about the serial device such as its assigned enumeration name, voltage, and current. The enumeration name displayed helps to identify all virtual ports running through the Insight Hub. This feature is quite handy when multiple devices are connected. Although the hub features a Wi-Fi-enabled SoC, it doesn’t currently support wireless networking. Each downstream port is connected to a dedicated voltage and current meter for real-time feedback. Also, the hub implements configurable short-circuit, over-current, and back-current protection. It also allows you to control the individual activation and deactivation of the D+/D- data lines [...]

The post USB Insight Hub is an open-source, ESP32-S2-based tool for testing USB devices (Crowdfunding) appeared first on CNX Software - Embedded Systems News.

STMicro’s low-power ST1VAFE3BX AI biosensor integrates biopotential signal monitoring and motion tracking

STMicro ST1VAFE3BX biosensor

STMicroelectronics (STMicro) has announced the ST1VAFE3BX biosensor, a highly integrated chip that combines “cardio and neurological sensing with motion tracking and embedded AI functionalities,” and is targeted at healthcare and fitness wearables. The ST1VAFE3BX biosensor chip integrates biopotential inputs with an accelerometer and a machine learning core for reduced power consumption. It features a complete vertical analog front end (vAFE) for simplified detection of vital signs in electrocardiography, electroencephalography, and other healthcare monitoring applications. Inertial sensing by the accelerometer is synchronized with biopotential sensing “to infer any link between measured signals and physical activity.” The integrated machine-learning core (MLC) and finite state machine (FSM) allow for ultra-low-power and accurate biopotential input recognition at a degree of responsiveness that is reportedly faster than the current industry standard. The ST1VAFE3BX is aimed at applications in healthcare and fitness wearables such as smartwatches, smart patches, sports bands, connected rings, and smart glasses. It [...]

The post STMicro’s low-power ST1VAFE3BX AI biosensor integrates biopotential signal monitoring and motion tracking appeared first on CNX Software - Embedded Systems News.

MSI MS-CF16 fanless Alder Lake-N/Amston Lake Pico-ITX single board computer features up to 16GB LPDDR5 RAM

MSI MS-CF16 Pico-ITX single-board computer

MSI MS-CF16 is a fanless single board computer (SBC) in the Pico-ITX form factor powered by low-power Intel Alder Lake-N or Amston Lake series processors. It features up to 16GB LPDDR5 RAM, offers dual independent display support via HDMI and LDVS/eDP connectors, and integrates other peripherals such as 2.5GbE and 1GbE LAN ports, multiple USB 3.2 and USB 3.0 ports, and two M.2 (B-Key and E-Key) sockets. The MS-CF16 is a smaller and more power-efficient alternative to the MS-CF17 3.5-inch SBC which we covered previously. It is perfect for industrial and embedded applications such as industrial automation, edge computing, medical devices, outdoor signage, and general computing in demanding conditions. It’s far from the first Alder Lake-N or Amston Lake Pico-ITX single board computer we’ve written about, and competing solutions include Jetway’s JPIC-ADN1, AAEON’s PICO-ASL4, DFI’s RPP051, and Kontron 2.5”-SBC-AML/ADN Alder Lake-N/Amston Lake Pico-ITX SBC covered by Sayantan earlier today. MSI [...]

The post MSI MS-CF16 fanless Alder Lake-N/Amston Lake Pico-ITX single board computer features up to 16GB LPDDR5 RAM appeared first on CNX Software - Embedded Systems News.

Renesas RX260 and RX261 64 MHz RXv3 MCUs target power-efficient touch applications

Renesas RX260 RX261 RXv3 microcontrollers

The Renesas RX260 and RX261 two new 64 MHz microcontrollers part of the high-performance, high-efficiency RX product family with integrated capacitive touch-sensing and high power efficiency in both active and standby modes. The microcontrollers are based on the RXv3 core with a performance score of 355 CoreMark @ 64MHz, which is “2.5 times higher than competing 64 MHz class MCUs.” The chips are also power-efficient, with a consumption rate of 69μA/MHz during active operation and 1μA only in standby mode. According to Renesas, the chips are up to 25% more efficient in active mode and 87% more efficient in standby mode than other 64 MHz class MCUs. Another competing factor is the onboard 8KB of data flash, eliminating the need for external EEPROM. The RX260 and RX261 Group MCUs support noise- and water-resistant capacitive touch via Renesas’ third-generation capacitive touch IP (CTSU2SL). They also integrate an “automatic judgment function” that [...]

The post Renesas RX260 and RX261 64 MHz RXv3 MCUs target power-efficient touch applications appeared first on CNX Software - Embedded Systems News.

Realtek Ameba RTL8730E Cortex-A32 audio streaming module offers a cost-effective solution for wireless audio applications

Stream210 module

StreamUnlimited and Realtek Semiconductor Corp have collaborated on the Stream210 audio streaming module based on the Ameba Smart RTL8730E Arm Cortex-A32 chip from the Ameba E series, with support for Wi-Fi 6, Bluetooth 5.3, and Matter for edge computing and IoT solutions. We have looked at previous Ameba IoT products, such as the Ameba RTL8722DM development board, Ameba Arduino, Ameba RTL8195AM module, and the Ameba RTL8710BN. The Ameba Smart chip is the first entry in the series to feature a Cortex-A32 processor. The Stream210 module is aimed at various audio and IoT applications, including digital radios, streaming audio receivers, wireless speakers, smart speakers, home automation products, and Wi-Fi headphones. Other wireless audio modules we’ve covered in the past include the Up2Stream Pro HiFi board, TTGO T9, and 8devices’ Tobufi module. Stream210 specifications: SoC – Ameba Smart RTL8730E dual-core Arm Cortex-A32 processor @ 1.3GHz Memory – 2Gbit RAM Storage – 2Gbit [...]

The post Realtek Ameba RTL8730E Cortex-A32 audio streaming module offers a cost-effective solution for wireless audio applications appeared first on CNX Software - Embedded Systems News.

❌