machine learning

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Lolin S3 Mini – Tiny $5 ESP32-S3 board follows Wemos D1 Mini form factor

Lolin S3 Mini – Tiny $5 ESP32-S3 board follows Wemos D1 Mini form factor

LOLIN S3 Mini

LOLIN S3 Mini is a tiny ESP32-S3 WiFi and Bluetooth IoT development board that follows the Wemos D1 Mini form factor and supports its equally tiny stackable shields to add relays, displays, sensors, and so on. Wemos/LOLIN introduced their first ESP32-S3 board last year with the LOLIN S3 board with plenty of I/Os and an affordable $7 price tag.  But I prefer the company’s Mini form factor because of its size and the ability to select add-on boards to easily add a range of features to your projects. So I’m pleased to find out the company has now launched the LOLIN S3 Mini following the ESP32-C3 powered LOLIN C3 Mini board unveiled in March 2022. LOLIN S3 Mini specifications: WiSoC – Espressif Systems ESP32-S3FH4R2 CPU – dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration Memory – 512KB RAM, 2MB PSRAM Storage – 4MB QSPI […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Sonatino – A Raspberry Pi Zero-sized ESP32-S3 audio board

Sonatino – A Raspberry Pi Zero-sized ESP32-S3 audio board

Raspberry Pi Zero ESP32-S3 audio board

Lumination Labs’ Sonatino is an ESP32-S3 board designed for audio applications that follows the Raspberry Pi Zero dimensions so that it can be used with some of the cases designed for the Raspberry Pi Zero. The wireless audio board features Cirrus Logic WM8524 audio DAC and WM8782 audio DAC capable of 24-bit 192kHz stereo output and mono input respectively, a speaker amplifier and two pins for speaker connection, a 3.5mm audio jack, as well as a microSD card slot for the storage of audio or other data. Sonatino specifications: Wireless Module – ESP32-S3-WROOM-1 with SoC – ESP32-S3 dual-core LX7 microprocessor @ up to 240 MHz with Vector extension for machine learning Memory – 2MB PSRAM Storage – 16MB flash Connectivity – WiFi 4 and Bluetooth 5 LE/Mesh Storage – MicroSD card slot (SPI) Audio 3.5mm audio jack supporting input and output (TRRS, CTIA standard) Speaker connection: onboard pins, optional screw […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on Offline voice recognition module supports Arduino programming, custom voice commands

Offline voice recognition module supports Arduino programming, custom voice commands

Offline Voice Recognition Arduino

We’ve already covered inexpensive offline voice recognition modules based on US516P6 or TW-ASR ONE microcontrollers that allow people to add smarts to their projects without a network connection for improved privacy and lower latency. Those are great in theory, but at the time (April 2022) documentation was lacking or only in Chinese, and they were fairly hard to use based on some of the comments in my earlier posts. But today, I’ve noticed DFRobot is now selling the “Gravity: Offline Voice Recognition Sensor – I2C & UART” module with support for Arduino programming, and it looks fairly easy to customize as we’ll see further below. Gravity Voice Recognition DF2301QG module specifications: Voice recognition module – WS-2520-TR module with MCU – TBD 121 commonly used fixed voice commands, one-fixed wake word Support for 1 learned wake-word, 17 user-defined commands Audio Output – Built-in speaker and external speaker interface Input – Dual […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Sony IMX500-based smart camera works with AITRIOS software

Sony IMX500-based smart camera works with AITRIOS software

LUCID SENSAiZ SZP123S AITRIOS camera

Raspberry Pi recently received a strategic investment from Sony (Semiconductor Solutions Corporation) in order to provide a development platform for the company’s edge AI devices leveraging the AITRIOS platform. We don’t have many details about the upcoming Raspberry Pi / Sony device, so instead, I decided to look into the AITRIOS platform, and currently, there’s a single hardware platform, LUCID Vision Labs SENSAiZ SZP123S-001 smart camera based on Sony IMX500 intelligent vision sensor, designed to work with Sony AITRIOS software. LUCID SENSAiZ Smart camera SENSAiZ SZP123S-001 specifications: Imaging  sensor – 12.33MP Sony IMX500 progressive scan CMOS sensor with rolling shutter, built-in DSP and dedicated on-chip SRAM to enable high-speed edge AI processing. Focal Length  – 4.35 mm Camera Sensor Format – 1/2.3″ Pixels (H x V) – 4,056 x 3,040 Pixel Size, H x V – 1.55 x 1.55 μm Networking – 10/100M RJ45 port Power Supply – PoE+ via […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on XIAO ESP32S3 board gets some senses with a camera and microphone module, plus a round touchscreen display

XIAO ESP32S3 board gets some senses with a camera and microphone module, plus a round touchscreen display

XIAO ESP32S3 Sense

Last week, we wrote about the new XIAO ESP32S3, a tiny ESP32-S3 board from Seeed Studio. The company has now launched the XIAO ESP32S3 Sense adding a camera and microphone module connected through a board-to-board connector, as well as the Round Display for XIAO that can help people easily create wearable devices with a touchscreen based on any board from the XIAO family. XIAO ESP32S3 Sense XIAO ESP32S2 Sense specifications: Wireless MCU – Espressif Systems ESP32-S3R8 dual-core Tensilica LX7 microcontroller @ 240 MHz with 512KB SRAM, 8MB PSRAM, Wi-Fi 4 & Bluetooth 5.0 dual-mode (Classic + BLE) connectivity Storage – 8MB SPI flash, microSD card slot Antenna – External u.FL antenna USB – USB Type-C port for power and programming Camera – OV2640 camera sensor up to 1600×1200 resolution Audio – Built-in digital microphone Expansion I/Os 2x 7-pin headers with 1x UART, 1x I2C, 1x SPI, 11x GPIO (PWM), 9x […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Tiny RASynBoard combines Renesas RA6M4 MCU with Syntiant NDP120 ML accelerator, WiFi & BLE module, and some sensors

Tiny RASynBoard combines Renesas RA6M4 MCU with Syntiant NDP120 ML accelerator, WiFi & BLE module, and some sensors

RASynBoard

Avnet RASynBoard is a tiny board that packs a lot of features in a 30x25mm form factor with a Renesas RA6M4 Cortex-M33 microcontroller, a Syntiant NDP120 Neural Decision Processor, a Renesas (Previously Dialog Semi) DA16600 Wi-Fi 4 & Bluetooth 5.1 combo module, and a 6-axis inertial measurement unit (IMU) and digital microphone from TDK. The RASynBoard is offered as part of an EVK with the Core Board described above plus an IO board with headers, a Pmod connector, a MikroE Shuttle Click header, a microSD card slot for storage, and a built-in debugger, plus two buttons and an RGB LED.   RASynBoard specifications: Main microcontroller – Renesas RA6M4 Arm Cortex-M33 microcontroller @ 200 MHz with 1 MB flash memory, 256 KB SRAM ML accelerator – Syntiant NDP120 Neural Engine based on Syntiant Core 2 Deep Neural Network,  Arm Cortex M0 and HiFi 3 DSP Wireless module – Renesas DA16600 2.4 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Aspinity AB2 AML100 Arduino Shield supports ultra-low-power analog machine learning

Aspinity AB2 AML100 Arduino Shield supports ultra-low-power analog machine learning

Aspinity AB2 AML100 analog machine learning Arduino Shield

Aspinity AB2 AML100 is an Arduino Shield based on the company’s AML100 analog machine learning processor that reduces power consumption by 95 percent compared to equivalent digital ML processors, and the shield works with Renesas Quick-Connect IoT platform or other development platforms with Arduino Uno Rev3 headers. The AML100 analog machine learning processor is said to consume just 15µA for sensor interfacing, signal processing, and decision-making and operates completely within the analog domain offloading most of the work from the microcontroller side that can stay its lowest power state until an event/anomaly is detected. Aspinity AB2 AML100 Arduino Shield specifications: ML chip – Aspinity AML100 analog machine learning chip Software programmable analogML core with an array of configurable analog blocks (CABs) with non-volatile memory and analog signal processing Processes natively analog data Near-zero power for inference and events detection Consumes <20µA when always-sensing Reduces analog data by 100x Supports up […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 7 Comments on Arduino GIGA R1 WiFi board launches with STM32H7 MCU, up to 76 I/O pins

Arduino GIGA R1 WiFi board launches with STM32H7 MCU, up to 76 I/O pins

Arduino GIGA R1 WiFi

Arduino GIGA R1 WiFi board brings the STM32H7 dual-core Cortex-M7/M4 microcontroller found in the Portenta H7 boards to the larger Arduino Mega/Due form factor with up to 76 GPIO pins. As its name implies, the board also comes with a WiFi 4 (and Bluetooth 5.1) module, as well as an audio jack, a USB Type-C port for programming, a USB 2.0 Type-A host port, and extra connectors for a display and a camera. Arduino GIGA R1 WiFi board specifications: Microcontroller – STMicro STM32H747XI Cortex-M7 @ 480 MHz + M4 @ 200 MHz MCU  with 2MB dual-bank Flash memory, 1 MB RAM, Chrom-ART graphical hardware accelerator System Memory – 8MB SDRAM Storage – 16MB QSPI NOR flash Connectivity – 2.4GHz WiFi 802.11b/g/n up to 65 Mbps and Bluetooth 5.1 BR/EDR/LE via Murata 1DX module Display – 20-pin header (J5) Camera – 20-pin Arducam camera header (J6) USB 1x USB Type-C port […]