Author: kissdev
The Rock Pi N10 is a powerful single-board computer (SBC) designed for AI and deep learning applications, featuring the Rockchip RK3399Pro system-on-chip (SoC). This SoC integrates a CPU, GPU, and Neural Processing Unit (NPU), making it particularly well-suited for edge computing tasks. Key Features High-Performance AI Hardware The RK3399Pro SoC includes a six-core CPU with dual Cortex-A72 cores running at 1.8GHz and quad Cortex-A53 cores at 1.4GHz. The GPU is a Mali T860MP4, supporting various graphics APIs such as OpenGL ES and Vulkan. The standout feature is the NPU, which delivers up to 3.0 TOPS (Tera Operations Per Second) of…
Intel Neural Compute Stick 2: Accelerating AI at the Edge The Intel Neural Compute Stick 2 (NCS 2) is a USB-based device designed to accelerate AI inference on edge devices[1][4]. This compact, fanless deep learning tool enables developers to prototype and deploy computer vision and AI applications quickly and efficiently[2]. Powered by the Intel Movidius Myriad X Vision Processing Unit (VPU), the NCS 2 offers up to 8x performance improvement over its predecessor for running deep neural networks[1][5]. It features a dedicated neural compute engine, which is a hardware accelerator specifically built for deep neural network inferences[3]. Key features of…
BeagleBone AI-64 is a powerful single-board computer designed specifically for AI and machine learning applications[2]. Built on the proven BeagleBoard.org open source Linux platform, it leverages the Texas Instruments TDA4VM SoC to deliver impressive AI performance in a compact form factor[2][4]. Key Features Dual 64-bit Arm Cortex-A72 processors C7x DSP core for accelerated AI processing 8 TOPS neural network performance[3][4] 4GB RAM PCIe and M.2 expansion capabilities BeagleBone cape header compatibility[2][3] The AI-64 provides developers with a complete system for building intelligent embedded applications. Its 8 TOPS of neural network performance enables advanced computer vision, machine learning, and autonomous robotics…
TDK Corporation has unveiled a groundbreaking solid-state battery technology with an impressive energy density of 1,000 watt-hours per liter, approximately 100 times greater than their conventional solid-state batteries[1][2]. This high-capacity, long-life battery is designed for IoT and AI devices, particularly wearables like wireless earphones, hearing aids, and smartwatches[2][4]. The new battery utilizes an all-ceramic material with oxide-based solid electrolytes and lithium alloy anodes, providing several key advantages[1]: Extremely safe due to the use of oxide-based solid electrolyte Smaller size and higher capacitance, enabling more compact devices with longer operating times Potential to replace coin cell batteries, complying with EU regulations…
Sony’s Intelligent Vision Sensor represents a significant advancement in image sensor technology by integrating AI processing capabilities directly into the sensor unit. This innovation is the world’s first image sensor to incorporate an AI engine within its logic circuit, enabling high-speed edge AI processing alongside traditional image processing functions. Technical Features AI-Integrated Logic Chip The sensor features a back-illuminated pixel chip with approximately 12.3 effective megapixels, which captures a wide angle of view. The logic chip, stacked with the pixel chip using Sony’s proprietary stacking technology, includes a Digital Signal Processor (DSP) dedicated to AI signal processing and embedded memory…
The ESP32 series is a versatile family of microcontrollers developed by Espressif Systems, known for their integrated Wi-Fi and Bluetooth capabilities, making them ideal for a wide range of IoT applications. Key Features Robust Design The ESP32 is designed to operate reliably in industrial environments, with an operating temperature range from -40°C to +125°C. It includes advanced calibration circuits that dynamically adjust to external conditions, ensuring stable performance[1]. Ultra-Low Power Consumption The ESP32 is engineered for mobile devices, wearable electronics, and IoT applications, achieving ultra-low power consumption through several proprietary software techniques. It features fine-grained clock gating, various power modes,…
The Arduino Portenta H7 is a powerful single-board computer designed for industrial Internet of Things (IoT) and artificial intelligence (AI) applications[1][2]. It features a dual-core ARM Cortex-M7 and Cortex-M4 processor running at 480 MHz and 240 MHz respectively, capable of executing high-level code such as protocol stacks and machine learning algorithms alongside low-level real-time tasks[1]. Key Features Dual-core processor for parallel task execution Support for Arduino code, Python, and JavaScript Industrial temperature range (-40 to 85°C) Crypto-authentication chip Bluetooth Low Energy and LTE connectivity options 10/100 Ethernet and high-speed USB Up to 64 MB SDRAM and 128 MB QSPI Flash…
The Google Coral Dev Board is a powerful single-board computer designed for rapid prototyping of machine learning applications at the edge[1][2]. At its core lies the Google Edge TPU (Tensor Processing Unit) coprocessor, capable of performing 4 trillion operations per second (TOPS) with impressive power efficiency of 2 TOPS per watt[2][4]. This development board runs Mendel Linux, a Debian-based operating system, allowing developers to leverage familiar Linux tools and environments[2][4]. The board’s key specifications include: NXP i.MX 8M SoC with quad-core Arm Cortex-A53 CPU and Cortex-M4F microcontroller Integrated GC7000 Lite Graphics GPU 1 GB or 4 GB LPDDR4 RAM 8…
NVIDIA’s Jetson Series represents a groundbreaking line of AI computing platforms designed for edge devices and embedded systems. The series includes the Jetson Nano and Jetson Xavier NX, which offer powerful AI capabilities in compact, energy-efficient form factors[1][3]. Jetson Nano The Jetson Nano is an entry-level AI computer that brings the power of modern artificial intelligence to makers, learners, and developers. It offers: 128-core NVIDIA Maxwell GPU Quad-core ARM Cortex-A57 CPU 4GB LPDDR4 memory 5-10W power consumption[3] This small but mighty device enables the development of AI applications for robotics, smart cameras, and IoT devices. Jetson Xavier NX The Jetson…
Raspberry Pi 5: A Powerful Single-Board Computer The Raspberry Pi 5 represents a significant leap forward in the world of single-board computers, offering unprecedented power and versatility for a wide range of applications[1][2]. This latest iteration boasts a quad-core Arm Cortex-A76 processor running at 2.4GHz, delivering up to three times the speed of its predecessor[1][3]. With options for 4GB or 8GB of LPDDR4X-4267 RAM, the Raspberry Pi 5 provides ample memory for demanding tasks[2]. The board features dual 4Kp60 HDMI display outputs with HDR support, enabling high-quality visual experiences across multiple screens[1][2]. Connectivity options are abundant, including: Dual-band 802.11ac Wi-Fi…