VIA SOM-9X35 Starter Kit features MediaTek i350 Arm processor for edge AI devices

Mediatek i350 Starter Kit

VIA has just introduced the SOM-9X35 Starter Kit based on MediaTek i350 quad-core Cortex-A53 processor with AI accelerator and HiFi4 DSP designed for Edge AI devices in the retail, commercial, and industrial sectors. The kit is comprised of the SOM-9X35 module with MediaTek i350 SoC, up to 4GB RAM, 16GB eMMC flash, and WiFI 5 + Bluetooth 5.0 wireless module, as well as the VIA VAB-935 3.5-inch carrier board, a 7-inch 1024×600 touch panel display, a 13MP camera module, two speakers and microphone, and accompanying accessories. VIA SOM-9X35 Starter Kit specifications: SOM-9X35 System-on-Module SoC – MediaTek i350 (MT8365) quad-core Arm Cortex-A53 processor @ up to 2.0 GHz, Arm Mali-G52 MC1 up to 800Mhz with support for OpenGL ES, OpenCL, and Vulkan APIs, MediaTek APU 1.0 AI Processor up to 500MHz (285 GMACs), HiFi4 DSP System Memory – 2GB LPDDR4 SDRAM (1GB/4GB optional) Storage – 16GB eMMC flash Connectivity – MediaTek […]

PICO DSP is an Arduino compatible ESP32 development board for audio and DSP applications (Crowdfunding)

PICO DSP ESP32 audio development board

ESP32 audio development boards have been around ever since ESP32 boards were introduced starting with Espressif Systems’ own “ESP32-LyraTD-MSC Audio Mic HDK“, and now ESP32 hardware and software have been certified for Amazon Alexa Voice Services. PICO DSP is another ESP32 development board for audio and digital signage processing (DSP) applications. Equipped with a Wolfson WM9878 stereo audio codec, the breadboard-friendly, Arduino compatible board includes two MEMS microphones, audio in and out jacks, a speaker header, plus other audio signals routed to a GPIO header. PICO DSP specifications: SiP – Espressif ESP32-PICO-D4 system-in-package with ESP32 dual-core WiFi 4 & BLE processor, 4MB SPI flash External storage/memory Original Edition – External 64 MB pseudo-static (PSRAM) chip, of which up to 8 MB is currently supported by ESP-IDF. Strawberry Edition – 16 MB of external NOR flash (note: the internal 4MB SPI flash will not be usable after selecting the NOR flash […]

Amazon Alexa certified ESP AFE leverages ESP32-S3 AI & DSP instructions

Espressif ESP AFE

While most Amazon Alexa certified products are hardware designs, Amazon website also includes a Software Audio Front End (AFE) Dev Kits section that lists software algorithms that optimize audio detection in noisy environments, and the latest addition is Espressif’s Audio Front-End algorithms, or ESP AFE for shorts, that have recently been qualified for Amazon Alexa devices. It’s not the first Alexa certified solution from Espressif Systems, as both companies have worked together in the past with audio products like the ESP32-PICO-V3-ZERO Alexa Connect Kit Module or ESP32-Vaquita-DSPG board The algorithms were created by Espressif’s AI Lab team who used the AI and DSP instructions inside ESP32-S3 processor to optimize the code. The algorithms only utilized 12 to 20% of the CPU, as well as 220 KB of internal and 240 KB of external memory, leaving extra resources for other applications running in the wireless SoC. The ESP AFE is said […]

DBM10 AI SoC is optimized for battery-powered voice and sensor processing

DBM10 AI Devkit

DSP Group announced DBM10 a low-power AI/ML-enabled dual-core SoC. The SoC is equipped with a DSP (Digital Signal Processor) and a dedicated nNetLite NN (Neural Network) processor that improves voice and sensor processing and ensures low-power consumption when working with sufficient-sized neural networks. Key Specifications of NN Processor Form factor: ~4 mm2  Ultra-low-power inference consumption – ~500 µW (typical) for voice NN algorithms Runs Hello Edge 30-word detection model @ 1 MHz (125 MHz available) Allows porting of large models (10s of megabytes) without significant accuracy loss using model optimization and compression. DBM10 AI SoC uses the combined functioning of machine learning, voice, and sensor parameters. This includes voice trigger (VT), voice authentication (VA), voice command (VC), noise reduction (NR), acoustic echo cancellation (AEC), sound event detection (SED), proximity and gesture detection, sensor data processing, and equalization. The DBM10 is suitable for battery-operated devices like smartphones, tablets, and wearables. It […]

Tiny mmWave radar sensor embeds Cortex-R4F core for object tracking, classification

tiny mmwave radar sensor

The 1″ cube mmWave RS-6843AOPUA radar sensor, announced by D3 Engineering, is a miniature radar device that enables easy integration of radar algorithms for industrial applications. The RS-6843AOPUA radar sensor is an AECQ-100-qualified 60 GHz device that integrates a Texas Instruments C674x DSP for algorithms and an Arm Cortex-R4F microcontroller unit for decision-making and interfacing. It also has a radar accelerator and an “on-package antenna array.” The RS-6843AOPUA radar sensor features a 1-inch cube form factor, heat-spreading metal body, mounting tabs, and a USB-Serial interface. The USB-Serial interface could be used to test and evaluate the radar sensor. Functions and Applications of the Radar Sensor TI C674x DSP: FMCW (Frequency Modulated Continuous Wave) signal processing, Implementation of algorithms Radar Accelerator: Radar data processing Arm Cortex-R4F MCU: Object tracking, Classification, Communications “The RF front end integrates a PLL, three transmitters, four receivers, and baseband ADC, and allows the sensor to cover […]

Amlogic S905X3 vs S905X4 – Features Comparisons

Amlogic S905X3 vs S905X4

AV1 capable Amlogic S905X4 processor has been expected for more than a year, and only now are we starting to see announcements of S905X4 TV boxes and development kits. So it may be a good time to compare the features of the new Amlogic S905X4 processor again its predecessor, namely S905X3, and see if there are other notable differences apart from support for AV1 open video codec. We’ll use data from S905X3 specifications,  S905X2 vs S905X3 comparison, and a post on SDMC LinkedIn page. Amlogic S905X4 will be slightly faster due to the higher (default) maximum CPU frequency of 2.0 GHz, but most people will not notice the difference.  S905X4 is supposed to support Vulkan 1.1, while S905X3 does not, but I believe this is just due to more up-to-date Android SDK, and not differences in the silicon itself. S905X4 supports Nagra DRM, a more recent version of HDCP, and […]

MediaTek i350 Edge AI Processor is Designed for Mainstream AIoT & Smart Home Applications

MediaTek i350

MediaTek is well known for its mobile processors, but recently the company also manufactures IoT and AI processors such as MediaTek i300/i500 and MediaTek i700. The company has now introduced an updated to the entry-level MediaTek i300 processor with MediaTek i350 quad-core Cortex-A53 processor integrated with DSP and AI processor for vision and voice edge processing applications including facial, object, gesture, motion recognition, license plate recognition (LPR), voice activation and speed recognition, sound isolation, bio-tech and biometric measurements, and more. MediaTek i350 key features and specifications: Processor – 4x Arm Cortex-A53 cores up to 2.0 GHz with 512KB unified L2 cache, Arm NEON GPU – Arm Mali-G52 MC1 up to 800Mhz with support for OpenGL ES, OpenCL, and Vulkan APIs Co-processor – MediaTek APU 1.0 AI Processor up to 500MHz (285 GMACs) Memory -LPDDR4/LPDDR4X up to 3200Mbps, LPDDR3, DDR3/L up to 1866Mbps Storage – eMMC 5.1 flash (SLC/MLC/TLC) Display Interfaces […]

ECM3532 AI Sensor Board Features Cortex-M3 MCU & 16-bit DSP “TENSAI” SoC for TinyML Applications

ECM3532 AI Sensor Board

Eta Compute ECM3532 is a system-on-chip (SoC) with a Cortex-M3 microcontroller clocked at up to 100 Mhz, and NXP CoolFlux 16-bit DSP designed for machine learning on embedded devices, aka TinyML, and part of the company’s TENSAI platform. The chip is also integrated into the ECM3532 AI sensor board featuring two MEMS microphones, a pressure & temperature sensor, and a 6-axis motion sensor (accel/gyro) all powered by a CR2032 coin-cell battery. ECM3532 AI sensor board specifications: SoC – ECM3532 neural sensor processor with Arm Cortex-M3 core @ up to 100 MHz (< 5μA/MHz run mode) combines with 512KB embedded FLASH, 256KB SRAM, and 8KB BootROM + secure bootloader, and NXP CoolFlux 16-bit DSP @ up to 100 MHz with 32KB program memory, 64KB data memory. See the product brief for details. Storage – 64Mbit serial Flash for datalogging Connectivity – Bluetooth 4.2 LE via ABOV Semiconductor A31R118 and PCB antenna […]

EDATEC Raspberry Pi 5 fanless case