artificial intelligence

Posted on by Debashis Das - 14 Comments on LuckFox Pico Pro and Pico Max – Rockchip RV1106 powered boards with 10/100M Ethernet and camera support

LuckFox Pico Pro and Pico Max – Rockchip RV1106 powered boards with 10/100M Ethernet and camera support

LuckFox Pico Pro and Pro Max Rockchip RV1106 Powred Dev Board

The LuckFox LuckFox Pico Pro and Pico Max are two new Rockchip RV1106-powered development boards that offer a Linux-based development platform for IoT applications. The boards feature 10/100M Ethernet, up to 256MB DDR2 memory, and a 0.5TOPS NPU for AI tasks. With support for Buildroot and Ubuntu 22.04, this board can be used for smart homes, remote monitoring, and other AI-enhanced projects. Last year, we covered the LuckFox Core3566, a Raspberry Pi Compute Module 4 alternative, and the LuckFox Pico with its RV1103 SoC which has a similar form factor and similar features to these new modules. But the new modules are built around the RV1106 SoC which features an Arm Cortex-A7 processor (up to 1.2GHz),  a RISC-V co-processor, a 0.5 TOPS NPU for AI tasks, and a 4M @ 30fps ISP for high-quality image processing. LuckFox Pico Pro and Pico Max Specifications SoC – Rockchip RV1106G2 CPU – Arm Cortex […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 12 Comments on Testing AI and LLM on Rockchip RK3588 using Mixtile Blade 3 SBC with 32GB RAM

Testing AI and LLM on Rockchip RK3588 using Mixtile Blade 3 SBC with 32GB RAM

mixtile blade 3 review RK3588 AI LLM

We were interested in testing artificial intelligence (AI) and specifically large language models (LLM) on Rockchip RK3588 to see how the GPU and NPU could be leveraged to accelerate those and what kind of performance to expect. We had read that LLMs may be computing and memory-intensive, so we looked for a Rockchip RK3588 SBC with 32GB of RAM, and Mixtile – a company that develops hardware solutions for various applications including IoT, AI, and industrial gateways – kindly offered us a sample of their Mixtile Blade 3 pico-ITX SBC with 32 GB of RAM for this purpose. While the review focuses on using the RKNPU2 SDK with computer vision samples running on the 6 TOPS NPU, and a GPU-accelerated LLM test (since the NPU implementation is not ready yet), we also went through an unboxing to check out the hardware and a quick guide showing how to get started […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Qualcomm unveils Snapdragon X80 5G modem with NB-NTN satellite connectivity, AI Hub, and FastConnect 7900 WiFi 7 chip

Qualcomm unveils Snapdragon X80 5G modem with NB-NTN satellite connectivity, AI Hub, and FastConnect 7900 WiFi 7 chip

Snapdragon X80 5G modem satellite

Mobile World Congress 2024 (MWC 2024) has just started, and Qualcomm had three major announcements with the introduction of the Snapdragon X80 5G modem with NB-NTN satellite connectivity, the Qualcomm AI Hub with over 75 AI models optimized for Snapdragon processors, and the FastConnect 7900 WiFi 7, Bluetooth, and Ultra Wideband (UWB) chip. Snapdragon X80 5G modem-RF system Snapdragon X80 5G modem specifications: Peak download speed – 10 Gbps Peak upload speed – 3.5 Gbps Cellular Modem-RF Specs – 10CC aggregation in mmWave, 5CC aggregation in 5G sub-6GHz Cellular Technology 5G NR, sub-6 GHz Dynamic Spectrum Sharing (DSS) LTE, WCDMA, LAA, TD-SCDMA, GSM/EDGE, CBRS mmWave, sub-6 carrier aggregation (FDD-FDD) sub-6 carrier aggregation (TDD-TDD), 5G FDD, 5G TDD, sub-6 carrier aggregation (FDD-TDD) 5G SA (standalone), 5G NSA (non-standalone) F + F ULCA, FDD UL MIMO, Switched Uplink, 3GPP R18-ready (5G Advanced-ready), 6x CA sub-6 downlink carrier aggregation, 1024-QAM sub-6, FR1 + […]

Posted on by Debashis Das - No Comments on BrainChip’s Neuromorphic Akida Edge AI Box is now available for pre-orders at $799

BrainChip’s Neuromorphic Akida Edge AI Box is now available for pre-orders at $799

BrainChip Neuromorphic Akida Edge AI Box

BrainChip has recently opened preorders for their Akida Edge AI Box, built in partnership with VVDN Technologies. This box features an NXP i.MX 8M Plus SoC and two Akida AKD1000 neuromorphic processors for low-latency, high-throughput AI processing at the edge. The system features USB 3.0 and micro-USB ports, HDMI, 4GB LPDDR4 memory, 32GB eMMC with up to 1TB micro-SDXC expansion, dual-band Wi-Fi, and two gigabit Ethernet ports for external camera connections, all within a compact, passively-cooled chassis, powered by 12V DC. BrainChip Akida Edge AI Box Specifications: Host CPU – NXP i.MX 8M Plus Quad SOC with 64-bit Arm Cortex-A53 processor running at up to 1.8GHz AI/ML Accelerator – Dual Brainchip AKD1000 (Akida Chip) over PCIe for efficient AI processing Memory – 4GB LPDDR4 Storage 32GB eMMC flash MicroSD card slot for additional storage options Display Output – HDMI output supporting up to 3840 x 2160p30 resolutions with a pixel clock […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 13 Comments on Banana Pi BPI-M6 SBC features SenaryTech SN3680 quad-core Cortex-A73 AI processor

Banana Pi BPI-M6 SBC features SenaryTech SN3680 quad-core Cortex-A73 AI processor

Banana Pi BPI-M6

Banana Pi BPI-M6 is a credit-card single board computer based on SenaryTech SN3680 SoC comprised of a quad-core Arm Cortex-A73 processor, an Arm Cortex-M3 real-time core, an Imagination GE9920 GPU, and an NPU delivering up to 6.75 TOPS. The board ships with 4GB LPDDR4 RAM and 16GB eMMC flash. Its layout is fairly similar to the one of the Raspberry Pi 4 with four USB ports, Gigabit Ethernet, a 40-pin GPIO header, a USB Type-C port for power, and two micro HDMI ports. However, only one of those is for HDMI output, as the second is for HDMI input, and there’s also an M.2 Key-E socket for expansion. Banana Pi BPI-M6 specifications: SoC – SenaryTech SN3680 (also known as Synaptics VS680) with CPU – Quad-core Arm Cortex-A73 processor up to 2.1GHz MCU – Arm Cortex-M3 real-time security core @ 250MHz GPU – Imagination PowerVR Series9XE GE9920 GPU VPU – 4Kp60 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Rockchip RK3568-powered ASUS Tinker Board 3N is now available in three variants

Rockchip RK3568-powered ASUS Tinker Board 3N is now available in three variants

ASUS Tinker Board 3N

The ASUS Tinker board 3 was first unveiled in April 2023 before being renamed as Tinker Board 3N later that year, and the three variants of the Rockchip RK3568 single board computer (SBC) are now available. The standard configuration is the Tinker Board 3N in the commercial temperature range, while the Tinker Board 3N Plus has the same features, except it can operate in the industrial temperature range (-40°C to 85°C). The Tinker Board 3N Lite is a cost-down version in the same form factor, but with a single gigabit Ethernet port without PoE support, no M.2 B-key socket for an NVMe SSD or 4G/5G cellular connectivity, no 16MB SPI flash, fewer serial interfaces, and no CAN Bus. You’ll find a comparison of the specifications for the three variants in the table below. Note the prices above are from Amazon with a 10% discount when applicable. ASUS provides support for […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Doly – A cute little autonomous AI-powered robot based on Raspberry Pi CM4 module (Crowdfunding)

Doly – A cute little autonomous AI-powered robot based on Raspberry Pi CM4 module (Crowdfunding)

Doly Raspberry Pi CM4 robot

Limitbit Doly is a cute little autonomous robot with two continuous tracks, two small arms controlled by servos, two round color displays acting as the eyes, and various sensors, all controlled by a Raspberry Pi CM4 system-on-module. The robot can be used for STEM (Science, Technology, Engineering, and Mathematics) education or as a developer platform. AI workloads can also run on the Raspberry Pi CM4 module taking sensors, camera, and microphone inputs, with the robot interacting with the user through the built-in stereo speaker and two eyes. In practice, that means Doly supports features such as face recognition and smart audio with the robot capable of recognizing its owner and responding to voice commands. Doly specifications: System-on-Module – Raspberry Pi CM4 Lite model CM4101000 (1GB RAM, Wireless) by default, but also supports other CM4/CM Lite modules with wireless Storage – MicroSD card slot Display – 2x high-resolution color displays (the […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Luxonis OAK Thermal – A PoE thermal camera with Myriad X AI accelerator, waterproof M12 and M8 connectors

Luxonis OAK Thermal – A PoE thermal camera with Myriad X AI accelerator, waterproof M12 and M8 connectors

Luxonis OAK Thermal camera

Luxonis has announced its first thermal camera with the OAK Thermal (OAK-T) based on the company’s OAK-SoM Pro AI module featuring an Intel Movidius Myriad X, and two waterproof ports with an M12 PoE/Ethernet connector and an M8 auxiliary connector. Luxonis has been making AI cameras based on Myriad X AI accelerator and its Depth AI solution at least since 2019, and its module is also found in third-party cameras as we’ve recently found out with the Arducam PiNSIGHT AI camera. But they had never made a thermal model, and following customers’ requests to fuse thermal and RGB data, they’ve now developed the OAK Thermal, or OAK-T for shorts, that is suitable for detecting leaks and fires or more accurately detect humans & animals than traditional vision-only based cameras. OAK Thermal camera specifications: System-on-Module – Luxonis OAK-SoM Pro with AI accelerator – Intel Movidius Myriad X AI vision processing unit […]

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