artificial intelligence News - Page 38 of 99 - CNX Software

April 11, 2022May 5, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Maple Eye ESP32-S3 board offers 2MP camera, microphone, and two LCD displays

AnalogLamb Maple Eye ESP32-S3 is a WiFi and Bluetooth connected board based on ESP32-S3 dual-core Xtensa LX7 microcontroller and equipped with one 2MP camera, one microphone, and two LCD displays placed on each side of the board. Those features, plus 8MB of flash and an 8 MB Octal PSRAM, allow the board to make good use of ESP32-S3 AI instructions through the ESP-DL library found in ESP-WHO framework in order to speed up face detection and recognition algorithms, or for audio processing. Maple Eye ESP32-S3 specifications: Wireless module – ESP32-S3-WROOM-1 module with ESP32-S3 dual-core Xtensa LX7 processor @ up to 240 MHz integrating vector instructions for AI acceleration, 512 KB SRAM, 8MB PSRAM & 8MB Octal SPI Flash Storage – MicroSD card interface Displays – 2x 1.3-inch TFT LCD displays, selectable by switch Camera – 2MP OV2640 camera Audio – Digital microphone for VAD (voice activity detection) & ASR (automatic […]

April 2, 2022June 1, 2022 by Jean-Luc Aufranc (CNXSoft) - 30 Comments

ASUS Tinker Edge R SBC with 3GB RAM, Rockchip RK3399Pro sells for $179

ASUS Tinker Edge R Pico-ITX single board computer with Rockchip RK3399Pro AI processor was first unveiled in 2019 with 6GB RAM, but a cheaper 3GB RAM version with 2GB RAM for the CPU, and 1GB RAM with the integrated NPU just showed up in my news feeds. Whether it comes with 3GB or 6GB RAM, the Tinker Edge R board should mostly be interesting for AI accelerated workload thanks to the 3 TOPS built-in NPU, as well as the two MIPI CSI camera interfaces. ASUS Tinker Edge R (3GB) SBC specifications: SoC – Rochchip RK3399Pro hexa-core big.LITTLE processor with 2x Cortex A72 cores up to 1.8 GHz, 4x Cortex A53 cores @ 1.4 GHz, an Arm Mali-T860 MP4 GPU up to 800 MHz with OpenGL ES 1.1 to 3.2, OpenVG1.1, OpenCL 1.2 and DX 11 support, and NPU delivering up to 3.0 TOPS System Memory – 2 GB dual-channel LPDDR4 […]

March 31, 2022March 31, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Kontron Pi-Tron CM4 mini PC leverages Raspberry Pi Compute Module 4 for industrial applications

Kontron Pi-Tron CM4 is a single-board computer and mini PC based on the Raspberry Pi Compute Module with a Broadcom BCM2711 quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash, HDMI video output, two Ethernet ports, optional WiFi and Bluetooth connectivity, and an M.2 slot for AI or wireless expansion. Designed for industrial applications, the Pi-Tron CM4 is also equipped with RS232, RS485/CAN FD bus, and GPIO terminal blocks, supports 24V input voltage, and is optionally sold as AL Pi-Tron CM4 in a housing suited for challenging environments. Kontron Pi-Tron CM4 specifications: SoM – Raspberry Pi Compute Module 4 (CM4) with Broadcom BCM2711 quad-core Cortex-A72 processor @1.5 GHz, VideoCore VI GPU, H.265 (HEVC) up to 4Kp60 decode, 1080p30 encode, up to 8GB LPDDR4, up to 32GB eMMC flash Storage – MicroSD card socket (only for Raspberry Pi CM4 Lite module) Display I/F HDMI 2.0 up to 4Kp60 […]

March 31, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

TurboX C7230 SOM integrates Qualcomm QCS7230 SoC for WiFi 6 & 5G 8K AI cameras

Thundercomm TurboX C7230 SOM is a system-on-module powered by the just-announced Qualcomm QCS7230 hexa-core processor with 7 TOPS of AI performance and designed for WiFi 6 and 5G connected smart cameras with up to 8K resolution. The TurboX C7230 module comes with 8GB LPDDR5 (PoP), 128GB UFS storage, six MIPI CSI camera interfaces, two MIPI DSI display interfaces, as well as a QCA6391 chip for WiFi 6 and Bluetooth 5.1 connectivity, plus optional 5G cellular connectivity through an optional Snapdragon X55 module that connects to the TurboX C7230 development kit. TurboX C7230 SOM system-on-module specifications: SoC – Qualcomm Snapdragon QCS7230 hexa-core processor with 1x Kryo 585 Gold (Cortex-A77) core @ 2.84 GHz, 3x Kryo 585 Gold cores @ 2.4 GHz, and two Kryo 585 Silver (Cortex-A55) cores @ 1.8 GHz, 4 MB L3 cache, Adreno 650 GPU, Adreno 665 VPU, Adreno 995 DPU, Hexagon DSP with dual-HVX, and Spectra 480 […]

March 30, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Flex Logix InferX X1M M.2 AI accelerator module is now in production

When we first wrote about Flex Logix InferX X1 AI inference accelerator in 2020, the InfexX X1M M.2 AI accelerator module for edge servers, PCs, laptops, and embedded systems. was expected in Q2 2021. It took longer than planned but the company has finally announced production availability of the InferX X1M board in M.2 2280 form factor, or about the size of a stick of gum, to fit into power-constrained applications such as robotic vision, industrial, security, and retail analytics. InferX X1M module specifications: InferX X1 Edge Inference Accelerator with 4K MACs with 8 MB of distributed SRAM, and an eFPGA with 4MB DDR3 RAM System Memory – LPDDR4X (capacity undisclosed) Interface – M.2 B+M Key edge connector with x4 PCIe GEN3/4 Dimensions – 22mm x 80mm Power Budget – 6 to 8.2W TDP Flex Logix does not provide a lot of information on the product page, and instead, it’s […]

March 23, 2022March 23, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Tiny Jetson Xavier NX mini PC gets AI-powered Oosto video analytics software

The Oosto Vision AI Appliance is a palm-sized “near-edge” device based on the NVIDIA Jetson Xavier NX system-on-module and running the company’s neural network models for video analytics that are optimized to support low-power devices, as opposed to servers with powerful GPUs. It’s not actually a new device, as the light gold color of the enclosure below looks like a model from AAEON, and indeed, it looks just like the AAEON BOXER-8251AI embedded box PC. That most probably means AAEON provides the hardware, and Oosto installs their video analytics software unto the device. It’s still interesting to look into the announcement, and Oosto has a TCO calculator that will put into context the cost involved in specialized B2B or B2G (business-to-government) solutions. Oosto video analytics software appears to focus on facial recognition for touchless access control and to help law enforcement apprehend suspects (from a watchlist) and help de-escalate […]

March 22, 2022March 23, 2022 by Jean-Luc Aufranc (CNXSoft) - 20 Comments

NVIDIA launches Jetson AGX Orin Developer Kit, Orin NX modules, and Isaac Nova Orin AMR platform

NVIDIA Jetson AGX Orin module was first introduced in November 2021, but the company has now officially launched the Jetson AGX Orin Developer Kit, andunveiled the lower cost Orin NX modules still with 70 TOPS or more, and the Isaac Nova Orin AMR (autonomous mobile robot) reference platform. NVIDIA Jetson AGX Orin Developer Kit Jetson Orin AGX developer kit specifications: Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + 6MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ 1.3 GHz DL Accelerator – 2x NVDLA v2.0 Vision Accelerator – PVA v2.0 (Programmable Vision Accelerator) AI Performance – Up to 275 TOPS (INT8) @ 60W Video Encode – 2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) Video Decode – 1x 8K30 | 3x 4K60 | 7x 4K30 | […]

March 22, 2022January 30, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Quadric devkit features q16 hybrid AI, DSP, computer vision accelerator

The Quadric devkit is an M.2 Key M module equipped with the company’s q16 edge processor offering a hybrid data-flow + Von Neumann machine for not only neural networks, but also computer vision, digital signal processing, BLAS (Basic Linear Algebra Subprograms), and other workloads. This architecture allows the Quadric q16 to be more flexible than traditional AI accelerators and can deliver more effective solutions for heterogonous systems that may have multiple accelerators or require a powerful processor. The M.2 form factor enables easy integration into boards with an M.2 Key M socket such as the Gumstix Raspberry Pi 4 development board shown below with the Quadric devkit. Quadric devkit specifications: Accelerator – Quadric q16x4 Processor with 256 Vortex Cores, 8 MB on-chip memory, 4 kB per core memory, multi-precision multiply accumulate; 16 x 16mm package Memory – 4GB LPDDR4, 32-bit, dual-rank up to 3677 MHz Host Interface – 2-lane PCIe […]