artificial intelligence (AI) News - Page 83 of 147 - CNX Software

June 6, 2022June 6, 2022 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

Robot cat girl doll leverages Khadas VIM3 SBC for AI-accelerated object detection/tracking

While Khadas VIM4 board has just been launched, the earlier Khadas VIM3 SBC has the advantage of featuring a 5 TOPS NPU that’s being leveraged by Lilium Robotics for their humanoid robots, notably the Lily Delta V7 robot cat girl doll using the Amlogic A311D board to control motors and provide AI features such as face and object detection and tracking. The Delta V7 is offered as an Android kit running Linux (Android refers to humanoid robot here) with a full motorized body kit, a head with a dual camera and sound system, accessories like a dress, wig, cat ears and tail, and other features that are more geared towards the adult crowd… Content of the Lily Delta V7 full Android kit: Full motorized body kit Motorized arms, legs, and torso with wide movement range Arms can support 0.5 kg payload 100 cm high, weighs about 5 kilograms Inserts: Face, […]

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

4K USB AI camera is powered by Rockchip RV1126 SoC with 2.0 TOPS NPU

ThinkCore TC-RV1126 is a USB AI camera powered by Rockchip RV1126 quad-core Cortex-A7 processor with a 2.0 TOPS NPU and equipped with a Sony Starvis IMX415 CMOS image sensor with 4K resolution (3840 x 2160). The Linux-powered camera module features a USB Type-C port compatible with UVC & UAC protocols so that it can work without drivers on Windows, Android, Linux, Mac OS, and most other operating systems with a USB stack. TC-RV1126 camera specifications: SoC – Rockchip RV1126 quad-core Arm Cortex-A7 @ 1.5 GHz + RISC-V MCU @ 400 MHz, 2D graphics engine, 2.0 TOPS NPU with support for INT8/ INT16, 14M ISP System Memory – 2x DDR3 chip (128M x 16), so that should be 512MB RAM (TBC) Storage – 1 Gbit (128MB) SPI NAND flash Camera Image sensor – Sony Starvis IMX415 1/2.8-inch 8MP CMOS sensor with night vision Capture up to 3840×2160 @ 30 fps Supported […]

May 28, 2022May 28, 2022 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

RZBoard V2L – A business card-sized Renesas RZ/V2L SBC for AI vision applications

Avnet RZBoard V2L is an Arm Linux SBC for AI vision applications that’s about the size of a business card (or a Raspberry Pi), and powered by a Renesas RZ/V2L Cortex-A55/M33 processor with an on-chip DRP-AI accelerator. The board also comes with 2GB DDR4, 32GB eMMC flash, 16MB QSPI flash, Gigabit Ethernet, WiFi 5 and Bluetooth 5.0, multiple USB ports, MIPI DSI/CSI interfaces, as well as a Pi HAT compatible 40-pin GPIO header. RZBoard V2L specifications: SoC – Renesas RZ/V2L with 2x Arm Cortex A55 cores @ up to 1.2 GHz, 1x Arm Cortex M33 real-time core @ 200 MHz, Arm Mali G31 GPU @ 500MHz, DRP-AI accelerator, DRP Simple ISP (full HD), and a H.264 Hardware Video Enc/Dec (full HD) System Memory – 2GB DDR4 (16-bit with ECC) Storage 32GB eMMC flash 16MB QSPI NOR Flash MicroSD card socket Video Output – MIPI DSI and HDMI (selectable) Camera I/F […]

May 25, 2022 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Raspberry Pi CM4 compatible module coming soon with Amlogic A311D CPU

Despite assurances by Eben Upton that there’s no supply shortage of Raspberry Pi CM4 modules for commercial and industrial customers, installations or projects requiring just a few modules may be out of luck. So alternatives are needed, and after seeing Rockchip RK3566-based SoMs compatible with Pi CM4, namely the Pine64 SoPine and Radxa CM3, Banana Pi is working on a Raspberry Pi CM4 compatible module powered by Amlogic A311D hexa-core Arm Cortex-A73/A53 processor. Banana Pi BPI-CM4 specifications: SoC – Amlogic A311D hexa-core processor with 4x Arm Cortex-A73 @ 2.0 GHz and 2x Arm Cortex-A53 @, Arm Mali-G52 MP4 (6EE) GPU, 5 TOPS NPU System Memory – 2GB/4GB LPDDR4 RAM Storage – 16GB eMMC flash (up to 128GB) Networking – Gigabit Ethernet PHY on-module, optional WiFi 5/6 module with on-board PCB antenna and external antenna 2x 100-pin high-density board-to-board connector (mostly) compatible with Raspberry Pi CM4 with 1x HDMI, 1x MIPI […]

May 25, 2022May 25, 2022 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Microchip SAMA7G54 is a single-core Arm Cortex-A7 microprocessor for low power AI camera & audio applications

Microchip has just announced the 1 GHz SAMA7G54 single-core Arm Cortex-A7 microprocessor (MPU) with MIPI CSI-2 and parallel camera interfaces, as well as up to four I2S, one SPDIF transmitter and receiver, and a 4-stereo channel audio sample rate converter. The company specifically launched a single-core processor to offer a lower power solution for AI camera and audio solutions, and the chip is coupled with the MCP16502 power management IC that has been optimized to provide the best power/performance ratio for the SAMA7G54. Microchip SAMA7G54 specifications: CPU – Arm Cortex-A7 based MPU @ up to 1GHz with 256KB L2 cache Memory – DDR2/DDR3/DDR3L/LPDDR2/LPDDR3 up to 533MHz Storage – Quad SPI, Octal SPI, 3x SD/eMMC Camera I/F – MIPI CSI-2 (2-lane up to 1.5 Gbps each) and 12-bit parallel camera Up to 8 Mpixel @ 30 fps Audio – Up to 4x I2S, PDM, SPDIF (Rx/Tx), 4 stereo channel ASRC Networking […]

May 19, 2022May 31, 2022 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Geniatech launches OSM Size-L modules with Renesas RZ/G2L, Rockchip RK3566

Geniatech has introduced LGA system-on-modules compliant with the SGET OSM (Open Standard Module) Size-L standard and designed to be soldered directly on the carrier board. Two models have been launched with the SOM-G2L-OSM equipped with Renesas RZ/G2L Arm Cortex-A55/M33 processor, and the SoM-3566-OSM powered by a Rockchip RK3566 quad-core Cortex-A55 SoC. SOM-G2L-OSM module Specifications: SoC – Renesas RZ/G2L dual-core Cortex-A55 processor, Cortex-M33 real-time core, Arm Mali-G31 GPU, H.264 video encoder/decoder System Memory – 1GB RAM (2GB/4GB optional) Storage – 8GB eMMC flash (16GB/32GB optional) 662 contacts with Display – 1x MIPI DSI, 1x RGB Camera – 1x MIPI CSI Audio – I2S Networking – 2x Gigabit Ethernet USB – 1x USB OTG 2.0, 1x USB 2.0 host Serial – 2x CAN bus SDIO 3.0 Low-speed I/Os – 5x UART including debug, 2x I2C, 3x SPI, 3x PWM, 16x GPIO, 2x ADC Dimensions – 45 x 45 mm (OSM Size-L form […]

May 17, 2022May 17, 2022 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

Turing Pi 2 mini-ITX cluster board supports RK3588 based Turing RK1, Raspberry Pi CM4, and NVIDIA Jetson SoMs (Crowdfunding)

We first covered the Turing Pi V2 mini-ITX cluster board supporting up to four Raspberry Pi CM4 or NVIDIA Jetson SO-DIMM system-on-module in August 2021. The company has now launched the Turing Pi 2 on Kickstarter with a little surprise: the Turing RK1 module with Rockchip RK3588 Cortex-A76/A55 processor and up to 32GB RAM. The board allows you to mix and match modules (e.g. 3x RPi CM4 + 1x Jetson module as on the photo below), and with SATA ports, Gigabit Ethernet networking, USB 3.0 ports, mPCIe socket, you could build a fairly powerful homelab, learn Kubernetes, or self-host your own apps. Turing Pi 2 specifications: SoM interface – 4x 260-pin SO-DIMM slots for up to four Raspberry Pi CM4 with Broadcom quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash (adapter needed) NVIDIA Jetson Nano/TX2 NX/Xavier NX SO-DIMM system-on-modules with up to 6x Armv8 cores, and […]

May 15, 2022 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Trying out Edge Impulse machine learning platform on XIAO BLE Sense board

I had seen the Edge Impulse development platform for machine learning on edge devices being used by several boards, but I hadn’t had an opportunity to try it out so far. So when Seeed Studio asked me whether I’d be interested to test the nRF52840-powered XIAO BLE Sense board, I thought it might be a good idea to review it with Edge Impulse as I had seen a motion/gesture recognition demo on the board. It was quite a challenge as it took me four months to complete the review from the time Seeed Studio first contacted me, mostly due to poor communications from DHL causing the first boards to go to customs’ heaven, then wasting time with some of the worse instructions I had seen in a long time (now fixed), and other reviews getting in the way. But I finally managed to get it working (sort of), so let’s […]