Edge Impulse machine learning platform adds support for NVIDIA TAO Toolkit and Omniverse

Edge Impulse NVIDIA TAO Models

Edge Impulse machine learning platform for edge devices has released a new suite of tools developed on NVIDIA TAO Toolkit and Omniverse that brings new AI models to entry-level hardware based on Arm Cortex-A processors, Arm Cortex-M microcontrollers, or Arm Ethos-U NPUs. By combining Edge Impulse and NVIDIA TAO Toolkit, engineers can create computer vision models that can be deployed to edge-optimized hardware such as NXP I.MX RT1170, Alif E3, STMicro STM32H747AI, and Renesas CK-RA8D1. The Edge Impulse platform allows users to provide their own custom data with GPU-trained NVIDIA TAO models such as YOLO and RetinaNet, and optimize them for deployment on edge devices with or without AI accelerators. NVIDIA and Edge Impulse claim this new solution enables the deployment of large-scale NVIDIA models to Arm-based devices, and right now the following object detection and image classification tasks are available: RetinaNet, YOLOv3, YOLOv4, SSD, and image classification. You can […]

Sipeed MaixBox M4N AI Box with 43.2 TOPS AXera AX650N SoC can decode/encode up to 32 videos

Sipeed MaixBox M4N AI box

Sipeed MaixBox M4N is an AI box for video analytics and computer vision equipped with an AXera-Pi Pro (AX650N) octa-core Cortex-A55 SoC with a 43.2 TOPS (INT4) or 10.8 TOPS (INT8) AI accelerator and an H.265/H2.64 video encoder/decoder supporting up to 32 1080p30 videos. The AI box is based on the Sipeed Maix-IV motherboard, an upgrade to the Maix-III devkit with an AX620A quad-core Cortex-A7 SoC with a 14.4 TOPS AI accelerator (INT4). It comes with 8GB RAM shared for Linux and the AI accelerator, 32GB eMMC flash and an M.2 SATA socket for storage, two HDMI outputs, two gigabit Ethernet ports, optional WiFi or 4G LTE mini PCIe module, a few USB ports, and RS232 and RS485 interfaces. Sipeed MaixBox M4N specifications: SoC – AXera AX650N CPU – Octa-core Arm Cortex-A55 @ 1.7 GHz with NEON support NPU – 43.2 TOPS @ INT4, 10.8 TOPS @ INT8 with support […]

Waveshare Jetson Nano powered mini-computer features a sturdy metal case

Waveshare Launches Jetson Nano Mini Computer

Waveshare has launched the Jetson Nano Mini Kit A, a mini-computer kit powered by Jetson Nano. This kit features the Jetson Nano Module, a cooling fan, and a WiFi module, all inside a sturdy metal case. The mini-computer is built around Nvidia’s Jetson platform housing the Jetson Nano module and features multiple interfaces, including USB connectors, an Ethernet port, an HDMI port, CSI, GPIO, I2C, and RS485 interfaces. It also has an onboard M.2 B KEY slot for installing either a WiFi or 4G module and is compatible with TensorFlow, and PyTorch which makes it well-suited for various AI applications. Waveshare Mini-Computer Specification: GPU – NVIDIA Maxwell  architecture with 128 NVIDIA CUDA cores CPU – Quad-core ARM Cortex-A57 processor @ 1.43 GHz Memory – 4 GB 64-bit LPDDR4 1600 MHz; 25.6 GB/s bandwidth Storage – 16 GB eMMC 5.1 Flash Storage, microSD Card Slot Display Output – HDMI interface with […]

Arducam KingKong – A Raspberry Pi CM4-based Edge AI camera with global shutter sensor, Myriad X AI accelerator

Arducam KingKong

ArduCam KingKong is a Smart Edge AI camera based on the Raspberry Pi CM4 and system-on-module based on Intel Myriad X AI accelerator that follows the Raspberry Pi 5-powered Arducam PiINSIGHT camera introduced at the beginning of the year. The new product launch aims to provide a complete Raspberry Pi-based camera rather than an accessory for the Raspberry Pi 4/5. Smart cameras built around the Raspberry Pi CM4 are not new as we previously covered the EDATEC ED-AIC2020 IP67-rated industrial AI Edge camera and the StereoPi v2 stereoscopic camera used to create 3D video and 3D depth maps. The ArduCam KingKong adds another option suitable for computer vision applications with an AR0234 global shutter module, PoE support, and a CNC metal enclosure. ArduCam KingKong specifications: SoM – Raspberry Pi Compute Module 4 (CM4) by default CM4104000 Wireless 4GB RAM Lite (0GB eMMC). AI accelerator – Luxonis OAK SOM BW1099 based on Intel […]

FLIR Si2 acoustic imaging camera features 124 microphones to detect leaks and faults up to 200 meters away

FLIR SI2 acoustic imaging camera

Teledyne FLIR is well known for its thermal imaging infrared cameras, but the FLIR Si2 is different as instead of measuring temperature, the acoustic imaging camera is equipped with 124 sensitive microphones to detect leaks, electrical discharge, and mechanical faults up to 200 meters away. The acoustic imaging camera also comes with a 5-inch display and a 12MP RGB camera. It is available in three variants: the FLIR Si2-PD for partial discharge detection, the Si2-LD for air leak and mechanical fault detection, and the Si2 Pro capable of handling both. FLIR Si2 specifications: Display – 5-inch resistive touchscreen TFT PCB with 1280 × 720 resolution Measurement and analysis FLIR Si2-LD Detection threshold 20 kHz: -7 dB SPL 35 kHz: 4 dB SPL 50 kHz: 10 dB SPL 80 kHz: 36 dB SPL 100 kHz: 51 dB SPL Supported gases: Compressed air, hydrogen, CO2, methane, natural gas, helium, argon, ammonia Other […]

PineBerry Pi launches five additional HAT+ boards for the Raspberry Pi 5 with 2.5GbE, GbE, M.2 NVMe, and more

Raspberry Pi 5 HAT M.2 2.5GbE

PineBerry Pi was the first company to launch a Raspberry Pi HAT+ board making use of the Raspberry Pi 5’s PCIe FPC connector with the Hatdrive! M.2 HAT for the Raspberry Pi 5 along with the HatDrive! Bottom expansion board that goes underneath the Raspberry Pi 5 SBC. The company has now launched five additional HAT+ boards for the Raspberry Pi 5 with various PCIe (NVMe/AI modules) and networking (2.5GbE, GbE) options. Here’s the list with basic specifications: HatNET! 2.5G –  2.5GbE for the Raspberry Pi 5 using a Realtek RTL8125BG controller, dedicated MAC address range (i.e. not randomly assigned), and an RJ45 jack with Activity and Link LEDs HatDrive! NET 1G – Gigabit Ethernet (Realtek RTL8111H) and M.2 M-Key socket for NVMe 2230,2242 SSD. Implemented through an ASMedia PCIe Gen 2 switch and booting with the SSD is not supported at this time. You may want to follow the […]

Kaki Pi is a Raspberry Pi-inspired Renesas RZ/V2H AI SBC with four camera connectors, a PCIe 3.0 interface

Kaki Pi Renesas RZ/V2H SBC Raspberry Pi flavor

Japanese company Yuridenki-Shokai Co. Ltd will soon launch the Kaki Pi single board computer based on the just-announced Renesas RZ/V2H Arm microprocessor with a powerful 80 TOPS AI accelerator, with Raspberry Pi-inspired form factor and features such as the 40-pin GPIO header, the same PCIe 3.0 connector as found in the Raspberry Pi 5, and four 22-pin MIPI CSI connectors that look to be compatible with the Raspberry Pi cameras. The board also comes with up to 8GB LPDDR4,  a microSD card for the OS, a 22-pin MIPI DSI connector for a display, a gigabit Ethernet port, two USB 3.0 ports, two CAN Bus connectors, and other interfaces that make it suitable for robotics applications such as Autonomous Mobile Robots (AMR) and HSR (Human Support Robots) as well as IoT projects. Kaki Pi specifications: SoC – Renesas RZ/V2H CPU/MCU cores Quad-core Arm Cortex-A55 processor up to 1.8 GHz Dual-core Arm […]

Scaleway launches hosted RISC-V servers for 15.99 Euros per month

Scaleaway Elastic Metal RISC-V servers

French company Scaleway has just launched the “Elastic Metal RV1” bare metal servers which it claims to be the world’s first RISC-V servers available in the cloud with pricing at 0.042 Euros per hour, or 15.99 Euros a month excluding VAT. Scaleway launched some Arm servers based on Marvell Armada 370/XP quad-core Cortex A9 processor in 2015 before phasing those out a few years ago, and they are now just offering AMD and Intel-based servers and hosted Apple Mac computers based on the M1 Arm chip. But the company has decided to try something new again with the EM-RV1 servers based on Alibaba T-Head TH1520 quad-core RISC-V processor, 16GB RAM, and 128GB eMMC flash and running Debian, Ubuntu, or Alpine. EM-RV1-C4M16S128-A instance key features and specifications: SoC – Alibaba T-Head TH1520 CPU – Quad-core RISC-V Xuantie C910 (RV64GCV) processor @ 1.85 GHz GPU – Imagination BXM-4-64 with support for OpenCL […]

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