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 […]

Infineon PASCO2V15 CO2 sensor achieves ±50 ppm accuracy with built-in microphone and IR emitter

PASCO2V15 XENSIV PAS CO2 Sensor

Infineon’s PASCO2V15 CO2 sensor is a compact and precise carbon dioxide sensor that uses photoacoustic spectroscopy (PAS) leveraging its built-in microphone and IR emitter to detect CO2 levels by measuring pressure changes caused by the absorption of infrared light by CO2 molecules. The sensor is highly precise (±50 ppm ±5%) and can cover a wide range (0 to 32,000 ppm). it also includes features like pressure compensation and automatic baseline offset correction for reliability. With its small size and low power consumption, the PASCO2V15 can be integrated into HVAC systems, room controllers, smart thermostats, air purifiers, and other devices to optimize ventilation and improve energy efficiency. PASCO2V15 CO2 sensor specifications Sensor technology  – Photoacoustic Spectroscopy (PAS) with Non-Dispersive Infrared (NDIR) principles Gas measured – Carbon Dioxide (CO2) Measurement range – 0 to 32,000 ppm Accuracy – ± (50 ppm +5%) of reading between 400 ppm and 3000 ppm Output Interfaces […]

DeepRad is a cheap, modular SDR receiver based on the RTL-SDR (Crowdfunding)

Deeprad Single modular SDR receiver

DeepRad is a software-defined radio (SDR) receiver built in the RTL-SDR form factor. The modular SDR receiver offers advantages over other RTL-SDR-based devices which make it easier to integrate with other components and build custom solutions for your specific applications. The DeepRad SDR receiver is based on the RTL-SDR dongle and features the same Realtek RTL2832U demodulator chip with an R860T tuner. The module features D+ and D- pins for USB connection, V+ for 5 V power supply, solderable jumpers for oscillator selection, an RF pin for antenna connection, and 8 shield pin connectors for shielding and support. The module is targeted at custom designs, with the user free to choose the best components for their application. It is as versatile as a typical SDR receiver, with applications ranging from FM radio listening to aircraft tracking. We have previously covered other RTL-SDR receivers, such as the KrakenSDR and the RTL-SDR […]

Infineon AIROC CYW20829 Bluetooth LE 5.4 MCU and module family targets industrial, consumer, and automotive applications

Infineon AIROC CYW20829 Bluetooth Low Energy 5.4 microcontrollers

Infineon has recently released the AIROC CYW20829 Bluetooth LE (Low Energy) 5.4 family which now includes SoCs and modules. These SoCs include two Cortex-M33 MCU cores: one 48 or 96 MHz application core for the peripherals, security, and system resources, and one communication core for the 2.4 GHz RF transceiver with up to 10 dBm transmit power and -98 dBm receive sensitivity. This high integration reduces bill-of-material (BOM) costs for a wide variety of applications, including PC accessories, low-energy audio, wearables, solar micro inverters, asset trackers, home automation, and others. Back in 2021, we saw Infineon release the AIROC CYW5557x family of Wi-Fi 6/6E SoCs for IoT and streaming devices with features like enhanced range and improved network efficiency. More recently,  Infineon announced the PSOC Edge E81, E83, and E84 MCU based on Cortex-M55/M33 microcontrollers. Feel free to check those out if you are looking for Infineon-specific MCUs. Infineon AIROC […]

Linamp – A Raspberry Pi 4-based audio box with Winamp look and feel

Linamp audio player

Linamp is a media player box based on Raspberry Pi 4 SBC and a touchscreen display with a GUI that replicates the popular Winamp media player’s GUI that older readers may remember from the late 90s and early 2000s when it was one of the most popular music players for Windows. Rodmg found some renders of what a real Winamp player could look like online, and it inspired him to create his own. As its name implies Linamp runs on Linux (DietPi) instead of Windows, and the hardware is based on a Raspberry Pi 4, a 7.9-inch touchscreen display, a USB DAC, and various connectors and cables, all housed in a custom-designed metal enclosure and a 3D-printed front cover both designed with Onshape. Here’s the complete list of off-the-shelf items used for the build: SBC – Raspberry Pi 4 with a 32 GB microSD card, a set of passive heat […]

ReSpeaker Lite Voice Assistant Kit combines XMOS XU-316 and ESP32-S3 for advanced voice processing, Home Assistant integration

ReSpeaker Lite and Voice Assistant Kit

Seeed Studio’s ReSpeaker Lite Series includes the ReSpeaker Lite 2-Mic Array and Voice Assistant Kit, featuring the XMOS XU-316 AI sound chip for advanced voice processing and integration with Home Assistant via ESPHome. It’s perfect for smart home control with far-field voice capture and noise cancellation. The kit combines the ReSpeaker Lite dual-microphone array with the XIAO ESP32S3 module for voice recognition, noise reduction, and processing. It supports WiFi, BLE 5.0, and has a 2.4GHz rod antenna. It also offers I2S and USB connectivity for use with microcontrollers and SBCs, making it ideal for smart voice assistants and home automation. We’ve previously covered the NXP i.MX RT106F & RT106A/L, where NXP i.MX RT106A  can run voice assistant software with features like acoustic echo cancellation, ambient noise reduction, beamforming, barge-in, and playback processing. We’ve also written about other ReSpeaker boards, such as the ReSpeaker 4-Mic Array board, ReSpeaker Core board, and […]

The Open Home Foundation adds HACS, microWakeWord, and Music Assistant open-source projects

Open Home Foundation adds HACS, microWakeWord, Music Assistant

HACS, microWakeWord, and Music Assistant projects have joined the Open Home Foundation launched a few months ago to manage open-source projects related to Home Assistant and Smart Home applications in general separating them from Nabu Casa’s commercial activities. Note the HACS, microWakeWord, and Music Assistant projects will not operate directly under the Open Home Foundation’s umbrella, but they are external projects that the foundation collaborates on since it believes those are projects worth investing in to further develop the Smart Home ecosystem. Let’s have a quick look at the three projects. Home Assistant Community Store (HACS) is the most used custom integration for Home Assistant and allows users to easily install custom integrations, cards, and themes. Music Assistant gives users control over their media players and audio files handling both local music collection and music streaming services so that users can play any tune anywhere in their house without restrictions. […]

Femtosense introduces the AI-ADAM-100 system-in-package for affordable, efficient AI-based voice processing on the edge

Femtosense AI-ADAM-100

Femtosense’s newest release, the AI-ADAM-100, combines a low-power Arm Cortex M0+ microcontroller from ABOV Semiconductor with the Femtosense Sparse Processing Unit (SPU), an in-house neural processing unit. This combination powers AI voice processing and cleanup capabilities on edge devices. It leverages sparsity techniques to ensure that models can run on edge devices without intensive processing. Sparsity in AI refers to the presence of zeroes or non-zero values in the matrices and tensors used in machine learning models. No computation is required for these zero weights, heavily reducing processing requirements. The Femtosense AI-ADAM-100 aims to bring voice control to various devices such as home appliances, hearing aids, industrial headsets, and consumer earbuds. These appliances can implement voice user interfaces that allow users to talk naturally in their own words. On-device voice cleanup functionality would reduce infrastructure costs and improve the accuracy of the data sent to the cloud. The Femtosense SiP […]

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