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October 19, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

RK3399-based programmable wheeled robot works across multiple floors

SLAMTEC Hermes robot platform is a programmable wheeled robot that can take payloads of up to 60 kg across multiple floors thanks to an optional elevator controller, which makes it suitable for hotels, hospitals, airports, warehouses, transportation hubs, surveillance robot, and more. Powered by a Rockchip RK3399 mainboard, the Hermes robot platform supports autonomous path-finding, robot collaboration, cross-floor delivery, smart obstacle avoidance, safety features, and autonomous Recharging. It can be controlled with a REST API, programmed with C++ SDK, or a program called RoboStudio available for Windows and Android. Hermes wheeled robot platform specifications: Mainboard – Rockchip RK3399 SBC Video Output – HDMI Audio – 3.5mm audio (mic+headphone) jack, dual-channel 5W/8Ω amplifier header Network connectivity – Gigabit Ethernet RJ45 port, dual-band WiFi, 4G cellular with SIM card slot USB – USB 3.0 Type-C port Motion 6.5-inch in-Wheel motor Up to 1.2m/s (4.3 km/h) by default, but can be customized to […]

September 26, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Raspberry Pi smart audio devkit features AISonic IA8201 DSP, microphone array

Knowles AISonic IA8201 Raspberry Pi development kit is designed to bring voice, audio edge processing, and machine learning (ML) listening capabilities to various systems, and can be used to evaluate the company’s AISonic IA8201 DSP that was introduced about two years ago. The kit is comprised of three boards with an adapter board with three buttons connecting to the Raspberry Pi, as well as the AISonic IA8210 DSP board itself connected via a flat cable to a microphone array. Knowles AISonic Raspberry Pi development kit Knowles did not provide the full details for the development but says it enables wake-on-voice processing for low latency voice UI, noise reduction, context awareness, and accelerated machine learning inferencing for edge processing of sensor inputs. Some of the use cases include Low Power Voice Wake to listen for specific OEM keywords to wake the host processor, Proximity Detection when combined with an ultrasonic capable […]

September 1, 2021September 6, 2021 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

Allwinner V833 AI video development board runs Tina Linux or Melis RTOS

Allwinner V833 AI camera development board

Lindenis V833 is an AI video/camera development board based on Allwinner V833 single-core Cortex-A7 processor with a 400 MOPS AI accelerator (NPU) and running OpenWrt-based Tina Linux or Melis RTOS based on the RT-Thread kernel. The board comes with up to 3GB RAM, a MicroSD card socket, MIPI DSI, MIPI CSI, and BT1120 interfaces for video output and input, Gigabit Ethernet, 2.4 GHz WiFi, and a few other I/Os. Lindenis V833 specifications: SoC – Allwinner V833 single-core Arm Cortex-A7 processor @ up to 1.2 GHz with H.265/H.265 1080p video encoder, MJPEG 1080p video encoder, 400 MOPS AI accelerator (See PDF datasheet) System Memory – Up to 3GB DDR3/DDR3L Storage – MicroSD card slot with support for SDHC and SDXC, SPI NOR flash Display Interfaces 4-lane MIPI-DSI up to 1080p BT1120 output Touch panel header Video In 4-lane MIPI-CSI camera interface BT1120 input Audio – 3.5mm Line-in jack, built-in microphone Connectivity […]

July 13, 2021July 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 19 Comments

Station M2 business-card sized Android 11 mini PC, also supports Ubuntu & Buildroot

After introducing Station P2 Rockchip RK3568 mini PC in March of this year, Firefly has now launched another, cheaper model with the ultra-thin Station M2 computer based on the company’s ROC-RK3566-PC single board computer equipped with Rockchip RK3566 SoC. Station M2 is only slightly larger than a business card, but packs up to 8GB RAM, M.2 SSD storage, HDMI 2.0, Gigabit Ethernet, and USB 3.0/2.0 ports. Station M2 specifications: SoC – Rockchip RK3566 with a quad-core Cortex-A55 processor @ up to 1.8GHz. Arm Mali-G52 2EE GPU with support for OpenGL ES 1.1/2.0/3.2. OpenCL 2.0. Vulkan 1.1, 0.8 TOPS AI accelerator, 4K H.265/H.265/VP9 video decoder, 1080p100 H.265/H.264 video encoder. System Memory – 2GB or 4GB LPDDR4 (8GB optional) Storage – 32GB or 64GB (128GB eMMC optional), M.2 PCIe 2.0 socket for 2242 NVMe SSD, MicroSD card socket Video Output – 1x HDMI port up to 4Kp60 Audio – 3.5mm headphone jack, […]

July 1, 2021July 1, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Vecow ABP-3000 AI Edge gateway combines Hailo-8 AI accelerator with Intel Whiskey Lake processor

We first discovered Hailo-8 AI accelerator with claims of up to 26 TOPS performance and 3TOPS/W efficiency in October 2020. Since then, we’ve seen several integrate an Hailo-8 M.2 module into their design including EdgeTuring Edge AI camera and Vecow VAC-1000 gateway with a 24-core Foxconn processor. Vecow has now integrated the Hailo-8 AI accelerator into another gateway, but instead of relying on an Arm processor, the Vecow ABP-3000 AI computing system features an 8th generation Intel Core Whiskey Lake processor. Vecow ABP-3000 specifications: SoC – Intel Core i7-8665UE or i3-8145UE quad-core Whiskey Lake processor with Intel UHD Graphics 620; 15W TDP System Memory – 2x DDR4 2400MHz SO-DIMM, up to 64GB Storage – 1x M.2 Key B Socket (PCIe x2/SATA) AI Accelerator – Hailo-8 AI Processor, up to 26 TOPS with TensorFlow, ONNX frameworks support System IO chip – IT8786E Video Output – 2x DisplayPort up to 4096 x […]

June 24, 2021June 25, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

NVIDIA TAO Transfer Learning Toolkit (TLT) 3.0 released with pre-trained models

NVIDIA first introduced the TAO (Train, Adapt and Optimize) framework to eases AI model training on NVIDIA GPU’s as well as NVIDIA Jetson embedded platforms last April during GTC 2021. The company has now announced the release of the third version of the TAO Transfer Learning Toolkit (TLT 3.0) together with some new pre-trained models at CVPR 2021 (2021 Conference on Computer Vision and Pattern Recognition). The newly released pre-trained models are applicable to computer vision and conversational AI, and NVIDIA claims the release provides a set of powerful productivity features that boost AI development by up to 10 times. Highlights of TAO Transfer Learning Toolkit 3.0 Various computer vision pre-trained models for Computer vision: Body Pose estimation model that supports real-time inference on edge with 9x faster inference performance than the OpenPose model. Emotion recognition Facial landmark License plate detection and recognition Heart rate estimation Gesture recognition Gaze estimation […]

June 18, 2021June 18, 2021 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

TI AM64x 7-core processor is made for PLC’s, motor drives, industrial robots

Texas Instruments AM64x is a family of 64-bit Arm processors with functional safety designed for Programmable Logic Controllers (PLC), motor drives, remote I/O, and industrial robots. The top-end processor of the family, AM6442, comes with seven cores including two Cortex-A53 application cores, four Cortex-R5F real-time cores, and one Cortex-M4F isolated core. AFAICT, while the documentation is dated January 2021 and TI announced the processor in February in a blog post with a cryptic title, it was only first picked up by Embedded Computing in early May. Besides the processor itself, TI also provides an AM64x starter kit and a full-featured AM64x evaluation kit, and several companies are already preparing development boards and modules as we’ll see further below. TI AM64x processor AM64x key features & specifications: CPU cores Dual-core Arm Cortex-A53 processor @ 1.0 GHz with 256KB L2 shared cache with SECDED ECC, 32KB L1 D-cache, 32KB L1 I-cache Up […]

May 5, 2021May 5, 2021 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

SigmaStar SSC33x Camera SoCs are pin-to-pin compatible with Hisilicon Hi3516/Hi3518 processors

We’ve been writing a fair amount of posts about SigmaStar SSD201/SSD202D processors for smart displays in recent times. But the company also has various camera SoC’s with SSC333, SSC335, SSC336, SSC337, SS338, and SSC339 parts. Those processors feature one or two Cortex-A7 core, embedded RAM, as well as an optional AI accelerator called DLA (Deep Learning Accelerator). The chips manufactured using a 28nm or 22nm process, with the latter being used for parts with the AI accelerator. Most of the Sigmastar SCC33x processors also happen to be pin-to-pin compatible with HiSilicon Hi3516 or Hi3518 SoC that are found in a wide range of IP cameras. Let’s take SSC336D/SSC336Q processor as an example since it comes with the AI accelerator and we have a datasheet courtesy of linux-chenxing.com. SigmaStar SSC336D/SSC336Q camera SoC key features & specifications: CPU – Dual-core Arm Cortex-A7 processor @ 1 GHz with Neon and FPU Embedded Memory […]