artificial intelligence News - Page 72 of 114 - CNX Software

January 22, 2021June 22, 2022 by Abhishek Jadhav - No Comments

Zora P1 Amlogic A311D Development Board interfaces with Orbbec 3D Cameras

We have already seen the powerful Amlogic A311D powered Khadas VIM3 SBC, and Orbbec announced the Zora P1 development board for Orbbec 3D cameras, supporting robotics, gaming, smart homes, etc. Some of the other products showcased at the CES 2021 by Orbbec include its first 3D sensor with time-of-flight (TOF) technology, the latest Astra+ camera, and a real-time industrial 3D camera. “Innovations in 3D imaging, combined with broader advances like 5G, artificial intelligence, and ultra-fast processors, are transforming the application landscape for designers and engineers,” said David Chen, co-founder, and director of engineering at Orbbec. “Our new camera with time-of-flight (TOF) technology is a great example. Its high resolution and tracking capabilities make it perfect for all kinds of products including fall detection, security, even at-home yoga and exercise products.” Orbbec’s Zora P1 Development Board Zora P1 is a processing board for developers and enthusiasts to integrate 3D imaging and associated computing tasks for demanding industrial applications. Orbbec has specially designed this long-lasting solution to work with its 3D […]

January 20, 2021April 3, 2023 by Saumitra Jagdale - 7 Comments

Renesas RZ/G2L MPUs Feature Cortex-A55 & Cortex-M33 Cores for AI Applications

Renesas Electronics Corporation announced RZ/G2L MPUs, allowing enhanced processing for an extensive variety of AI applications. The RZ/G2L group of 64-bit MPUs includes three new MPU models featuring Arm Cortex-A55, and an optional Cortex-M33 core. These are RZ/G2L, RZ/G2LC, and RZ/G2UL MPUs. The Cortex-A55 CPU core typically delivers approximately 20 percent improved processing performance compared with the previous Cortex-A53 core, and according to Renesas, is around six times faster in “essential processing for AI applications”. The company already has four mid to high-end design level MPUs including RZ/G2E, RZ/G2N, RZ/G2M, and RZ/G2H, with combinations of Cortex-A53 and Cortex-A57 cores. The new RZ/G2L group of three MPUs forms the entry-level design with Cortex-A55. Hence, the seven MPU models together provide scalability from entry-level to high-end design. Common Key Features in RZ/G2L, RZ/G2LC, and RZ/G2UL MPUs Up to 2x Cortex-A55 cores Cortex-M33 core Camera interface (MIPI-CSI) Display interface (Parallel-IF) USB 2.0 interface […]

January 19, 2021January 19, 2021 by Saumitra Jagdale - No Comments

MicroMod modular ecosystem offers M.2 microcontrollers cards and carrier boards

MicroMod is a modular interface ecosystem for quick embedded development and prototyping. MicroMod comes with two components, that is a microcontroller “processor board” and a carrier board. PC industry’s M.2 connector is the interface between these two components. The carrier boards are for the usage of various peripherals and the processor board act as the brain of the application system. MicroMod processor board has a dimension of 22×22 mm that can be easily fitted on the carrier boards. Although, the original M.2 standard was dedicated to swapping out peripherals where a user could swap one component with the other one. The MicroMod standard is for swapping out microcontrollers according to the functional and application requirements. MicroMod Processor Boards Artemis Processor Board comes with an Ambiq Apollo 3 Blue Arm Cortex-M4F with BLE 5.0 running up to 96MHz and a power rating of less than 5mW. It also supports the TensorFlow […]

January 14, 2021 by Saumitra Jagdale - 3 Comments

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 […]

January 13, 2021July 31, 2021 by Jean-Luc Aufranc (CNXSoft) - 22 Comments

$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: […]

January 11, 2021January 10, 2021 by Saumitra Jagdale - No Comments

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 […]

January 6, 2021January 20, 2021 by Jean-Luc Aufranc (CNXSoft) - 20 Comments

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 AI accelerator, H.264/H.265/JPEG video encoder up to 1080p30 System Memory – 64MB DDR2 in package (SiP) Storage – Optional […]

January 6, 2021 by Saumitra Jagdale - 1 Comment

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 […]