Posted on by Saumitra Jagdale - 3 Comments on Mini-ITX SBC with Tiger Lake UP3 CPU offers dual 2.5GbE, quad display support

Mini-ITX SBC with Tiger Lake UP3 CPU offers dual 2.5GbE, quad display support

IEI launched tKINO-ULT6 is a Thin Mini-ITX SBC that comes with an 11th generation Intel core processor part of the Tiger Lake-UP3 CPU family. The tKINO-ULT6 Mini-ITX SBC also supports quadruple independent displays, SATA 6Gb/s, dual Intel 2.5GbE, HD audio, and RoHS. It can handle a wide range of input DC power from 9V to 36 V. The tKINO-ULT6 SBC is expected to be found in CNC (Computer Numerical Control) machines, real-time controls, human-machine interfaces, tool applications, medical imaging, and other applications requiring high resolution. Key Features of  the tKINO-ULT6 Mini-ITX SBC Mini-ITX form factor with 11th Gen. Intel Tiger Lake UP3 Embedded processor, support for DDR4-3200 memory Video Output – Four independent displays via HDMI, DP, eDP/LVDS, USB4 Networking Dual Intel 2.5GbE LAN M.2 A key for WIFI+Bluetooth (PCIe x1/USB 2.0), M.2 M key for Storage (PCIe x2/SATA) Expansion – PCIe x8 Gen 4.0 slot  The tKINO-ULT6 Mini-ITX SBC supports up to 64GB DDR4-3200, dual SATA III connection with […]

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Posted on by Jean-Luc Aufranc (CNXSoft) - 19 Comments on $119+ BeagleV powerful, open-hardware RISC-V Linux SBC targets AI applications

$119+ BeagleV powerful, open-hardware RISC-V Linux SBC targets AI applications

Running Linux on RISC-V hardware is already possible, but you’d have a choice of low-end platforms like Kendryte K210 that’s not really practical for anything, or higher-end board like SiFive HiFive Unmatched or PolarBerry for which you’d have to spend several hundred dollars, or even over one thousand dollars to have a complete system. So an affordable, usable RISC-V Linux SBC is clearly needed. We previously wrote about an upcoming Allwinner RISC-V Linux SBC that will be mostly useful for camera applications without 3D GPU, and a maximum of 256MB RAM. But today, we have excellent news, as the BeagleBoard.org foundation, Seeed Studio, and Chinese fabless silicon vendor Starfive partnered to design and launch the BeagleV SBC (pronounced Beagle Five) powered by StarFive JH7100 dual-core SiFive U74 RISC-V processor with Vision DSP, NVDLA engine, and neural network engine for AI acceleration. BeagleV specifications: SoC – StarFive JH7100 Vision SoC with: RISC-V U74 dual-core with 2MB L2 cache @ 1.5 GHz […]

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Posted on by Saumitra Jagdale - No Comments on DBM10 AI SoC is optimized for battery-powered voice and sensor processing

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

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 is even suitable for true wireless stereo (TWS) headsets, and […]

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Posted on by Jean-Luc Aufranc (CNXSoft) - 17 Comments on Sipeed MAIX-II Dock is an Allwinner V831 powered AIoT vision devkit

Sipeed MAIX-II Dock is an Allwinner V831 powered AIoT vision devkit

Sipeed introduced MAIX development boards powered by Kendryte K210 dual-core RISCV processor with AI accelerators in 2018, and we tested the Maixduino and Grove AI HAT based on the solution using Arduino and Micropython the following year. It works fine for audio and video project requiring AI acceleration at low power, but performance (resolution/fps) is limited. So if you’d like a bit more oomph for your audio & vision AI projects, as well as proper Linux support, Sipeed has just launched MAIX-II Dock powered by Allwinner V831 Cortex-A7 AI camera SoC clocked at up to 800-1000 MHz and 64MB on-chip DDR2 RAM, as well as a Full HD camera and a small display.MAIX-II Dock specifications: MAIX-II core module SoC – Allwinner V831 single-core Cortex-A7 processor clocked at 800-1000 MHz with 0.2TOPS (NVDLA) AI accelerator, H.264/H.265/JPEG video encoder up to 1080p30 System Memory – 64MB DDR2 in package (SiP) Storage – Optional 16MB flash M.2 B-Key edge connector with Storage – […]

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Posted on by Saumitra Jagdale - 1 Comment on Adafruit Voice Bonnet is meant for DIY Raspberry Pi Smart Speakers

Adafruit Voice Bonnet is meant for DIY Raspberry Pi Smart Speakers

Adafruit Voice Bonnet features two speakers and two mics, that can be used as an audio-voice interface for Raspberry Pi SBC to create a DIY smart speaker or other audio product. The voice bonnet can work with any Raspberry Pi from Pi Zero up to Pi 4, with 40-pin 2 x 20 connector. Two speaker outputs of the voice bonnet have a power rating of 1 Watt. The voice bonnet contains 3.5 mm stereo outputs, headphone stereo, or line-out audio. The Adafruit voice bonnet has an on-board WM8960 low-power stereo codec that uses I2S digital audio for both input and output. The WM8960 codec has a dual analog input, it consists of a left mic and a right mic. The codec integrates a complete microphone interface and a stereo headphone driver. Adafruit says “For DIY speakers, solder any 1W+ speaker to one of these JST 2-PH cables. If you’d like to stack another HAT or bonnet on top, use a […]

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Posted on by Jean-Luc Aufranc (CNXSoft) - 9 Comments on ESP32-S3 dual-core WiFi and Bluetooth LE 5 SoC supports AI acceleration for AIoT applications

ESP32-S3 dual-core WiFi and Bluetooth LE 5 SoC supports AI acceleration for AIoT applications

Back in September, we reported that Espressif Systems planned to release a new ESP32-S3 with “AI instructions and multi-CPU cores” with few other details, except the chip would also be part of the MINI-series wireless modules. Now we have many more details, as the Shanghai-based company has now officially announced ESP32-S3. The processor features dual Tensilica LX7 cores, 2.4 GHz WiFi 4 & Bluetooth 5 connectivity, and as expected supports AI instructions to cater to the AIoT (AI + IoT) market. ESP32-S3 key features and specifications: CPU Dual-core Tensilica LX7 up to 240 MHz with additional vector instructions  for AI acceleration ULP core to handle low power modes Memory – 512 KB of internal SRAM Storage – Octal SPI flash and PSRAM support (supports larger, high-speed devices compared to ESP32) Cache – Connectivity 2.4 GHz 802.11 b/g/n Wi-Fi 4 with 40 MHz bandwidth support Bluetooth Low Energy (BLE) 5.0 connectivity with long-range support, up to 2Mbps data rate. Peripherals 44x […]

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Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Pumpkin i500 SBC uses MediaTek i500 AIoT SoC for computer vision and AI Edge computing

Pumpkin i500 SBC uses MediaTek i500 AIoT SoC for computer vision and AI Edge computing

MediaTek Rich IoT SDK v20.0 was released at the beginning of the year together with the announcement of Pumpkin i500 SBC with very few details except it would be powered by MediaTek i500 octa-core Cortex-A73/A55 processor and designed to support computer vision and AI Edge Computing. Pumpkin i500 hardware evaluation kit was initially scheduled to launch in February 2020, but it took much longer, and Seeed Studio has only just listed the board for $299.00. We also now know the full specifications for Pumpkin i500 SBC: SoC – MediaTek i500 octa-core processor with four Arm Cortex-A73 cores at up to 2.0 GHz and four Cortex-A53 cores, an Arm Mali-G72 MP3 GPU, and dual-core Tensilica Vision P6 DSP/AI accelerator @ 525 MHz System Memory – 2GB LPDDR4 Storage – 16GB eMMC flash Display – 4-lane MIPI DSI connector Camera – Up to 25MP via MIPI CSI connector Video Decoding – 1080p60 H.264, H.265 / HEVC, MPEG-1/2/4 decoder, Encoding – 1080p30 H.264 […]

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Posted on by Saumitra Jagdale - 5 Comments on Tiny mmWave radar sensor embeds Cortex-R4F core for object tracking, classification

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

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 up to 4 GHz at a 12 dBm transmit power […]

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