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April 6, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

ESP32-Vaquita-DSPG Board and SDK Support Alexa Integration and AWS IoT Core Cloud Service

Espressif Systems has just announced another ESP32 board, namely ESP32-Vaquita-DSPG development kit together with an SDK that supports AVS (Alexa Voice Service) integration with AWS IoT cloud connectivity. ESP32-Vaquita-DSPG specifications: Wireless Module – ESP32-WROVER-E with ESP32-D0WD-V3 WiFi + Bluetooth SoC , 64 Mbit SPI flash and 64 Mbit PSRAM Audio DSP – DSPG DBMD5P Audio SoC with far-field voice recognition using the company’s HDClear algorithms. Power Amplifier for external speakers up to 8W Codec – ES8311 I2S audio codec Speaker connector 3.5mm audio jack 2-mic array on MIC board Debugging – USB-UART port Misc- Mainboard – Power LED, boot & reset buttons MIC board – 5x RGB LEDs, 2x function buttons Power Supply 5V input via USB Power Port 5V-to-3.3V regulator. ESP32-Vaquita-DSPG board needs an external 4-ohm speaker or a pair of headphones for audio output, two USB cables for power and debugging, and a computer running Windows, Linux, or […]

April 1, 2020October 9, 2020 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Edgeless EAI-Series Dual Arm Cortex-M4 MCU Features a 300 GOPS CNN-NPU

Microcontrollers will have an important role to play in AIoT (AI + IoT) applications as they provide the lowest cost and power consumption. Performance is limited but we start seeing MCUs with AI accelerators such as GreenWaves GAP9 multi-core RISC-V microcontroller or Kendryte K210 RISC-V MCU with a KPU AI accelerator. Another option is by Edgeless Semiconductor Co. Ltd (零边界集成电路有限公司) based in Zhuhai, China, and more specifically its Edgeless EAI-Series dual-core Arm Cortex-M4 microcontrollers equipped with a 300 GOPS CNN NPU. Edgeless EAI specifications: CPU – Dual Arm Cortex-M4F @ up to 200Mhz, with DSP instructions, I/D cache for high performance; 500DMIPS/1.25DMIPS/MHz (Dhrystone2.1) AI Accelerator – CNN-NPU clocked at up to 300MHz with 300 GOPS peak throughput; 144MAC/cycle, EER up to 1TOPS/W, for image recognition scenario. Support major CNN Models including Resnet-18, Resnet-34, Vgg16, GoogleNet, Lenet, etc.. Support Convolutional kernel size 1~7 Support Channel/Feature No. up to 512 Support Max/Average […]

March 27, 2020 by Jean-Luc Aufranc (CNXSoft) - 27 Comments

Allwinner R329 Smart Speaker Processor Features Arm China’s AIPU (Artificial Intelligence Processing Unit)

Allwinner R328 is a dual-core Cortex-A7 processor with 64MB or 128MB built-in RAM designed for low-cost smart speakers that was introduced last year and found into smart speaker sold in mainland China. According to a recent press release (in Chinese only), the company has now released a 64-bit update with Allwinner R329 dual-core Cortex-A53 processor equipped with dual HIFI4 DSP for audio post-processing and pre-processing, as well as Arm China’s AIPU (Artificial Intelligence Processing Unit) delivering up to 0.256 TOPS at very low power. There’s no product page for Allwinner R329 yet, so I extracted some specifications from the press release: CPU – Dual-core Cortex-A53 @ up to 1.5 GHz DSP- Dual-core HIFI4 DSP @ 400 MHz AI Accelerator – Arm China AIPU with 0.256 TOPS Built-in DDR RAM Audio Embedded second-generation VAD hardware 5x audio ADCs 2x audio DACs with 100dB SNR I2S and DMIC controller 5-1-channel and 7.1 […]

March 27, 2020 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

KDE Plasma Bigscreen for TVs and TV Boxes Offers a Linux Alternative to Android TV

KDE Plasma is a desktop environment initially developed for Linux Desktop PC or SBCs, but that’s also available on Linux phones with Plasma Mobile (previously known as Plasma Active). The developers have now decided to work on a version for the big screens with Plasma Bigscreen suitable for TVs and TV boxes and offering an open-source, Linux-based alternative o Android TV. Plasma Bigscreen is community supported, completely free and open-source, and offers an interface fairly similar to Android TV launcher. It is optimized for IR remote control use including (experimental) CEC support, as well as voice control through MyCroft open-source AI & voice assistant and Bluetooth or RF remotes with a built-in microphone such as WeChip G20 or W2, or a USB microphone. By default, Plasmas Bigscreen connects to Mycroft’s Home server, which uses Google’s STT (Speech to text) sending anonymized utterances to Google, but it’s also possible to switch […]

March 27, 2020March 27, 2020 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

This Non-Invasive AI Temperature Screening System Checks Multiple Persons On-the-Fly

Yesterday, I had to go to the bank with the branch located in a building where they closed all doors except one in order to make sure all people were wearing masks, check their temperature, and let them wash hands with alcohol hand gel. Those are good preventive measures to slow the spread of SARS-CoV-2 virus, but in case many people visit a location that’s also time-consuming. I’ve just come across a system that should speed up the process, as it can check forehead temperature of people as they walk by, using a camera and artificial intelligence for face detection, and an IR camera/thermometer to report temperature. Remote AI temperature screening system specifications: SoC/Memory/Storage – Don’t know, but I would not be surprised if it was based on RK3399 since Rockchip often promotes AI use cases for this processor. External Storage – MicroSD card, USB drive Video Output- HDMI 2.0 […]

March 3, 2020March 4, 2020 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Sipeed M1n is a $10 M.2 Module based on K210 RISC-V AI Processor

Kendryte K210 is a RISC-V processor with AI accelerator found in boards such as Maixduino, Grove AI HAT, or HuskyLens among others, and enabling low-cost, low power AI applications such as face detection or object recognition. You can now add Kendryte K210 AI accelerator to any board or computer with M.2 socket or [Update: the M.2 connector pinout is non-standard] a USB-C port thanks to Sipeed M1n M.2 module that also comes with an M.2 to USB-C adapter. Sipeed M1n specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor @ up to 400MHz with FPU, Neural-network Processing Unit (NPU), audio processor, built-in 6MB SRAM memory for CPU, and 2MB AI SRAM Storage – 128Mbit SPI flash Camera – 24-pin connector for DVP camera (OV0328 camera module provided as part of the kit) Host Interface – M.2 socket with some IOs and JTAG interface, accessible via Maix Nano M.2 to USB-C […]

March 1, 2020March 1, 2020 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

UNISOC Unveils T7520 5G SoC Manufactured with 6nm EUV Process Technology

UNISOC has launched its second-generation 5G mobile SoC with T7520 processor manufactured with a 6nm EUV process technology and equipped with four Arm Cortex-A76 cores, four Arm Cortex-A55 cores, as well as an Arm Mali-G57 GPU, and the company’s Makalu 5G platform. T7520 processor is said to support “coverage enhancement for any application scenario, by allowing carriers to deploy 5G on their existing 4G spectrums” (aka NSA = Non-stand Alone). and is optimized for use on 500 km/h high-speed railway. Highlights of the processor include: Advanced 6nm EUV process technology with extremely high lithographic resolution and a better balance between cost, performance and power consumption. Compared to the previous 7nm process, the new process has an 18% improvement in density of transistors and reduces power consumption by 8%. Lower power consumption made possible by the improved process mentioned above as well as an improved low-power consumption architecture and AI-based power […]

February 28, 2020February 28, 2020 by Stephen Vicinanza - 1 Comment

e-Con Systems Launches MIPI CSI-2 Cameras for Google Coral Dev Board

3.4MP Camera Google Coral Development Board

Google Coral Development Board Camera Series e-Con Systems has announced a camera series that can be used with the Google Coral Development board. There are two models: e-CAM50 CUCRL is a 5.0 MP MIPI CSI-2 camera and e-CAM30 CUCRL is a 3.4 MP MIPI CSI-2 camera. Both Have Features In Common Both support a variety of resolutions and were developed for AI devices. The cameras are color and fixed focus and can be connected directly to the Coral Development Board through P1 and J15 camera connector. Background on Google Coral Development Board The Google Coral Development board was reported on extensively since its release in 2019. Two articles for the Coral Development Board and its most recent addons are the Google Coral Development Board announcement and the Coral Development Board’s latest mPCIe and M.2 cards. Jetson Nano and Rock960 SBC’s Cameras e-Con Systems previously made cameras for other SBC’s including […]