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1～10 件を表示 ／ 全 10 件
Robust and compact single-slot edge computing system.
The Apollo from Concurrent Technologies in the UK is a rugged COTS system optimized for size, weight, power consumption, and cost (SWaP-C). It features a single slot for SOSA-compliant payloads and offers a wide range of I/O options.
Equipped with NVIDIA Jetson AGX Orin, providing robotics and edge AI solutions that can be utilized in various scenarios.
The AdiCS9009 is an edge AI computing system equipped with the NVIDIA(R) Jetson AGX Orin. The Jetson AGX Orin delivers performance that is 6 to 8 times greater than its predecessor, the AGX Xavier, depending on the application. It provides robotics and edge AI solutions that can be utilized in various scenarios such as logistics, traffic systems, and factory automation. <Features> ■ Equipped with NVIDIA(R) Arm(R) Cortex A78AE processor ■ Two LAN ports: 1GbE and 10GbE (RJ-45) ■ 16-lane MIPI expansion connector x1 ■ M.2 sockets x3 (B-key/E-key/M-key) ■ Wide range DC power input of 9~36V ■ Supports Ubuntu 20.04 OS ■ USB 2.0 Type-C (OTG only) x1, USB 3.2 Gen1 Type-A x2, USB 3.2 Gen2 Type-C x1
Industry solutions that enable deep learning at the edge.
The "HFBX-6300_DL" is an AI edge solution that enables the acquisition and analysis of video and image data in manufacturing environments more accurately and quickly. Equipped with Intel Xeon processors, it offers high performance while consuming low power. Additionally, by combining it with the deep learning framework "KAIBER," it allows for high-speed inference at the edge. 【Features】 ■ High-speed processing ■ High-speed inference ■ High scalability ■ Realizes edge computing with embedded devices ■ Enables more accurate and faster acquisition and analysis of video and image data in manufacturing environments *For more details, please refer to the PDF document or feel free to contact us.
A detailed explanation of the benefits of introducing a specially designed edge computing platform for the industrial sector!
Utilizing on-site data is the key to successful manufacturing DX. To collect and analyze large amounts of data in real-time, there are various challenges such as stable operation, security measures, and maintenance. This is where edge computing comes into focus. The edge computing platform 'ztC Edge' can recover from troubles without stopping the system due to its redundant configuration, and it allows for speedy and easy implementation and operation. It is equipped with functions such as device monitoring, self-protection, and security, and is actively used in various facilities. Currently, we are offering a document that includes a report by an external research company on the effects of implementing 'ztC Edge'. The document presents examples based on interviews with mining, manufacturing, and food and beverage companies, showcasing reductions in system maintenance time and management costs, helping you understand the benefits of adopting 'ztC Edge'. [Contents (excerpt)] ◎ Analysis of product implementation effects ◎ Benefits of product implementation ◎ Cost analysis over three years ◎ Introduction of product overview and features *For more details, please refer to the document. Feel free to contact us as well.
A relay system connecting the field and the cloud: A data collection and analysis platform for quality improvement.
We would like to introduce a case study on the implementation of zero-touch computing in the cloud-based data analysis platform of an industrial equipment manufacturer. Before the implementation, there were urgent issues such as the need to improve manufacturing quality in the heat treatment process, as well as the need for standardization and centralized management of quality control across factories nationwide. The benefits gained from the implementation included the establishment of a data collection platform for quality management and a visualization and analysis dashboard in the cloud. [Case Overview] ■ Before Implementation - Urgent issue of improving manufacturing quality in the heat treatment process - Planning for the collection/visualization/analysis of quality control data ■ Benefits Gained from Implementation - Adoption of high-availability edge computing for data linkage between factories and the cloud, ensuring reliable data collection and accumulation *For more details, please download the PDF or feel free to contact us.
DeviceEdge Jetson Series
● The NVIDIA Jetson Orin NX module achieves up to 100 TOPS, which is about five times that of the NVIDIA Jetson Xavier NX module. The NVIDIA Jetson Orin Nano delivers a maximum of 40 TOPS, which is 80 times that of the NVIDIA Jetson Nano module. ● It is a highly expandable fanless system that includes an M.2 B-Key x1 for LTE/5G support, an M.2 E-Key x1 for Wi-Fi/BT support, and an M.2 M-Key x1 for storage. To address the lack of data storage in edge computing, the AIE-PO22/32 and AIE-PN32/42 support an external 128 GB M.2 2242 NVMe with high-speed data transmission. ● Specially designed to achieve fanless and silent operation, it caters to a variety of applications such as smart cities and smart agriculture, where cost-effective maintenance and improved reliability are required. It operates over a wide temperature range from -25°C to 55°C and supports a broad input power range of 12 to 24 VDC, allowing for flexible power supply options.
Flexible AI on ARM Edge Computing Systems
• Aetina's AI On ARM edge computing platform AIE-KR1B-B1 is equipped with the Rockchip RK3588 and seamlessly integrates with various AI accelerator cards. It offers a wide range of inference performance from 13 TOPS for entry-level applications to 214 TOPS for high-performance edge applications. Designed to meet different AI acceleration needs, it accelerates real-time video analysis and high-precision object detection. Additionally, the AI modules can be easily swapped without redevelopment, reducing time to market. • A cost-effective platform with excellent video processing capabilities Aetina's AIE-KR1B-B1 enables real-time video analysis and is ideal for executing smart security and smart retail applications such as multi-channel monitoring and customer behavior analysis.
Mission-critical edge computing system platform for deployment.
The Hornet, manufactured by Concurrent Technologies in the UK, is a rugged COTS system designed for operation in harsh environments, optimized for size, weight, power consumption, and cost (SWaP-C) in a 2-slot configuration.
Equipped with a neural processing unit (NPU) and adopting the power-efficient Cortex-A53, it meets the needs of all embedded applications.
The EIC-2000, equipped with an industrial-grade Arm-based NXP i.MX 8M Plus quad-core Cortex-A53 processor and built-in NPU supporting up to 2.3 TOPS, features GigE LAN ports compliant with Intel Time-Sensitive Networking (TSN) standards, enabling seamless access. Additionally, it offers a rich set of expansion options including two USB 3.0 ports, one Micro USB port, two Nano SIM card sockets, and a Mini PCIe socket, making it an ideal AI edge computing system for applications such as base station construction, irrigation systems, and factory automation in AIoT/Industry 4.0. *Please download the catalog or visit our website to check the main specifications.*
What is "Edge Computing," which is attracting attention in manufacturing DX? A clear explanation of its features and benefits!
To promote digital transformation in the manufacturing industry, the utilization of IoT data is essential. "Edge computing" is gaining attention as a system that collects large amounts of data, visualizes and analyzes it in real-time, and puts it to use. This document provides a clear explanation of what edge computing is, its features, and its benefits for those who may be asking, "What is edge?" [Contents (excerpt)] ◎ What is "Edge"? ◎ Reasons why edge computing is gaining attention ◎ Five benefits of edge computing ◎ Challenges in operating edge computing systems ◎ Points to consider when implementing edge computing *For more details, please refer to the document. Feel free to contact us with any inquiries.
