Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.
1～6 item / All 6 items
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 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.
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.*
