artificial intelligence News - Page 68 of 114 - CNX Software

March 23, 2021March 23, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Made in Thailand CorgiDude RISC-V AI board aims to teach machine learning

There’s a relatively small but active maker community in Thailand, and we’ve covered or even reviewed some made in Thailand boards including ESP8266 and ESP32 boards, a 3G Raspberry Pi HAT, and KidBright education platform among others. MakerAsia has developed CorgiDude, a board based on the version of Sipeed M1 RISC-V AI module with built-in WiFi, and part as a kit with a camera and a display used to teach machine learning and artificial intelligence with MicroPython or C/C++ programming. CorgiDude board specifications: AI Wireless Module – Sipeed M1W Module with Kendryte K210 dual-core 64-bit RISC-V RV64IMAFDC CPU @ 400Mhz with FPU, various AI accelerators (KPU, FFT accelerator…), 8MiB on-chip SRAM Espressif ESP8285 single-core 2.4 GHz WiFi 4 SoC plus IPEX antenna connector Storage – MicroSD card slot Camera I/F for 2MP OV2640 sensor up to 1280 × 1024 (SXGA) @ 30 fosm SVGA @ 30 fps, or CIF @ […]

March 22, 2021February 27, 2022 by Jean-Luc Aufranc (CNXSoft) - 11 Comments

Annke CZ400 AI security camera reviewed with basic and smart events

At the beginning of this month, I started the review of Annke CZ400 AI security camera by listing specifications, unboxing the device, and doing a partial teardown, notably to install a MicroSD card. In theory, the camera comes with more advanced AI features than Reolink RLC-810A 4K CCTV camera that only supports people and vehicle detection, as the Annke security camera can handle face detection, line crossing, unattended baggage detection, and other smart event detections. So let’s see how it performs Annke CZ400 installation The first challenge was the installation, as I told the company I would not be willing to install the camera on the ceiling since I’m renting, and preferred wall-mounting. after checking the user manual that included a wall mount, I decided to go ahead, and get the review unit. But sadly, the wall mount is not included in the package, and Annke even told me they […]

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March 18, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

ADLINK launches SMARC Short Size Module, Devkit with NXP i.MX 8M Plus

We had seen many i.MX 8M Plus modules with built-in AI accelerator announced at Embedded World 2021, including two SMARC modules from Congatec and iWave Systems. ADLINK has added another of i.MX 8M Plus module compliant with SMARC 2.1 “short” standard with LEC-IMX8MP system-on-module equipped with up to 8GB RAM, 128 GB eMMC flash, as well as a development kit called I-Pi SMARC IMX8M Plus prototyping platform. LEC-IMX8MP module specifications Specifications: SoC – NXP i.MX8M Plus with quad-core ARM Cortex-A53 processor, Vivante GC380 2D GPU and GC7000UL 3D GPU, 1080p60 video decoder & encoder, optional 2.3 TOPS Neural Processing Unit (NPU) System Memory – 2/4/8GB LPDDR4L-4266 Storage – 16, 32, 64, or 128GB eMMC flash (build option) Wireless – Optional 802.11 ac/a/b/g/n WiFi 5 2X2 MIMO and Bluetooth 5.0 module 314-pin MXM 3.0 edge connector Storage – 1x SDIO (4-bit) compatible with SD/SDIO standard, up to version 3.0 Display – […]

March 16, 2021March 17, 2021 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

UP Squared Pro SBC gets more I/Os, 3x M.2 sockets, TPM 2.0 security chip

UP Squared Apollo Lake SBC was launched in 2016 via a crowdfunding campaign with a price starting at just 89 Euros for the model with 2GB RAM 16GB storage, and a dual-core Intel Celeron N3350 processor. AAEON has now announced an update simply called UP Squared Pro with many of the same features, but greater expandability and I/O features, for example, to add 5G modules and AI accelerators through one of the three M.2 sockets, as well as improved security via a TPM 2.0 chip. UP Squared Pro (UPN-APL01) specifications with highlights in bold or strikethrough in comparison to the UP Squared specifications (in 2016): SoC (one or the other) Intel Celeron N3350 dual-core “Apollo Lake” processor @ 1.1 GHz / 2.4 GHz with 12 EU Intel HD graphics 500 @ 200 MHz / 650 MHz (6W TDP) Intel Pentium N4200 quad-core “Apollo Lake” processor @ 1.1 GHz / 2.5 […]

March 16, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Sparkfun Thing Plus – Quicklogic EOS S3 Arm eFPGA board launched in Crowd Supply

SparkFun Electronics is a well-known electronics retailer that usually sells its in-house developed or third-party boards through its own online store. But this time around, the company decided to launch “Sparkfun Thing Plus – Quicklogic EOS S3” through Crowd Supply crowdfunding platform. The board is based on QuickFeather board designed with the same Quicklogic EOS S3 Arm Cortex-M4 plus embedded FPGA SoC, but follows Sparkfun’s Thing Plus form factor with a Qwiic connector and a different mix of sensors. Sparkfun Thing Plus – Quicklogic EOS S3 (QTPLUS-1.0) board specifications: SoC – QuickLogic EOS S3 MCU + eFPGA SoC with Arm Cortex-M4F Microcontroller up to 80 MHz, up to 512 Kb SRAM, and an embedded FPGA (eFPGA) with 2400 effective logic cells, 64 Kb RAM Storage – 16 Mbit SPI NOR flash (GigaDevice GD25Q16CEIGR) Sensors STMicro LIS2DH12TR accelerometer Digital pulse density modulation (PDM) microphone with Wake-on-Sound (WoS) feature: Vesper VM3011-U1 Expansion […]

March 12, 2021 by Saumitra Jagdale - 27 Comments

Machine Learning on Raspberry Pi Pico, RP2040, and future RPi MCUs

Although the Raspberry Pi Pico comes with the RP2040 chip that lacks the performance to implement machine learning inference for its applications. However, we saw a person detection use case through ArduCAM and TensorFlow lite interface. But, the processing performance of the use case was on the slower side. Additionally, a recent Eben Upton presentation also unveiled that due to low power requirements the board compensates the processing efficiency. Hence, it offers low-performance for edge inference and machine learning use cases. Eben Upton’s teaser on improvement in machine learning and the future scope of “Pi Silicon” revealed potential growth and development in edge inference applications. The demand for RP2040 boards has given rise to the market necessity for more boards. This demand can only be fulfilled if more boards with RP2040 chip are available in the market and company “partners such as Adafruit, Pimoroni, Adafruit and Sparkfun are start releasing […]

March 10, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Microsoft previews Azure Percept Edge AI development platform

Microsoft has recently announced the public preview of Azure Percept platform combining hardware and services to ease AI implementations at the edge through the use of Azure AI technologies and Azure cloud for device management, AI model development, and analytics. The hardware currently available includes the Azure Percept DK (Development Kit) with an NXP i.MX 8M powered WiFi & Bluetooth gateway/carrier board, the Azure Percept Vision system on module (SoM), as well as the optional Azure Percept Audio SoM with a 4-mic array. Key features and specifications: Azure Percept DK carrier board SoC – NXP iMX 8M quad-core Cortex-A53 processor System Memory – 4GB RAM Storage – 16GB flash Connectivity – Ethernet, WiFi and Bluetooth connectivity via Realtek USB – 2x USB-A 3.0 port, 1x USB-C port Security – Nuvoton NCPT750 Trusted Platform Module (TPM) version 2.0 Power Supply – 19V/3.4A Systems-on-Module Azure Percept Vision SoM based on Intel Movidius […]

March 9, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

NXP i.MX 8M Plus 2.5-inch Pico-ITX SBC supports UIO40-Express expansion modules

With NXP i.MX 8M Plus AI processor nearing mass production, we’ve seen many companies introduce i.MX 8M Plus systems-on-module at Embedded World 2021. But as one would come to expect, there should also be single board computers based on the new processor, and Advantech has unveiled the RSB-3720 2.5-inch SBC (aka Pico-ITX SBC) compatible with the company’s UIO40-Express expansion boards. RSB-3720 specifications: SoC – NXP i.MX8M Plus dual or quad-core Arm Cortex-A53 processor up to 1.8GHz (1.6 GHz for industrial temperature range) with Cortex-M7 real-time core, Vivante GC7000UL 3D GPU, 1080p60 H.265/H.264/VP9 decoder, 1080p60 H.265/H.264 encoder, 2.3 TOP/s Neural Network Accelerator System Memory – 4GB or 6GB LPDDR4 4000MT/s Storage – 16 GB eMMC Flash for OS, 8 MB QSPI NOR Flash for board information, microSD socket Video Output – HDMI 2.0a up to 3840 x 2160 at 30Hz Single or dual-channel 24 Bit LVDS with backlight power, 5/12V, Max. […]