Released a development environment package for the latest AI chip boasting high inference processing capability with low power consumption. We have packaged a development environment to easily start developing AI applications using Hailo's AI chip, the 'Hailo-8TM AI Processor,' which excels in low power consumption and high inference processing capability. For more details, please refer to our website. https://www.analogtech.co.jp/products/hailo8mpcie/

The AT-IPCWG005 is a medical edge computer equipped with NVIDIA RTX A5000/RTX A4500/RTX A4000 GPU cards. It complies with medical electrical equipment standards EN60601-1-2:2015, EN60601-1:2014, and FCC: Part 18 Class B (excluding add-on cards). It is equipped with protective installation terminals, and an optional capture card is available (SDI/HDMI/DVI).

The AT-IPCFG004-PoE4 is a fanless industrial PC equipped with two AI chips, the 'Hailo-8 AI Processor', and serves as a base model that can be customized or used for OEM purposes. By incorporating two AI chips, it supports multi-AI algorithms. Depending on the type of data sources being handled, such as images, audio, and time series, as well as the intended applications like classification, depth estimation, object recognition, face detection, and posture estimation, the optimal algorithm can be selected and applied in a versatile manner. Additionally, it features four PoE ports that comply with IEEE802.3at, providing up to 25.5W across all four ports and up to 30W per port, allowing for direct power supply to PE devices, including IP cameras, from the AI processing edge PC.

The AT-IPCFG000-PoE4 is a fanless industrial PC equipped with Hailo's AI chip, the 'Hailo-8 Deep Learning Processor', and serves as a base model that can be customized or used for OEM purposes. It boasts a performance of 26 TOPS and executes AI inference at the edge in real-time, with low latency and high efficiency. This industrial PC is equipped with a dust filter and is suitable for deployment in production environments. Additionally, it features four PoE ports that comply with IEEE802.3at, providing up to 25.5W across all four ports and up to 30W per port, allowing for direct power supply to AI processing edge PCs for PE devices, including IP cameras.

The Hailo-8 Evaluation Development Kit 2 is a development environment equipped with four AI chips, designed for implementing parallel high-speed processing and multi-AI algorithms. By utilizing the four AI chips for parallel processing, it supports a maximum processing capability of up to 104 TOPS, approaching that of data center-class GPUs. The power consumption of the chip handling this 104 TOPS performance is only 25W. To develop AI applications, a workstation with the SDK installed is required separately; please request it along with the evaluation development kit if needed.

Hailo is a chip manufacturer established in 2017 by members of the Israeli Defense Forces' elite technology unit, developing high-performance AI processors for edge devices. The AI chip 'Hailo-8 Deep Learning Processor' is a chip with an architecture specialized for AI processing developed by Hailo. **Features of the AI chip 'Hailo-8 AI Processor':** 1. With top-class AI processing performance of 26 TOPS on a single chip at a power efficiency of 3 TOPS/W, it expands the overall AI processing performance and capabilities of the system by using modules with multiple chips in parallel. 2. It supports operating environments from -40°C to 85°C. By combining it with high environmental performance IPC, it enables AI implementation in various field applications. 3. The supply period for the chip itself is planned to be up to 10 years from the time of sale, making it suitable for various industrial applications that require long-term supply. 4. It supports not only Linux (Ubuntu) but also execution environments on Windows and Docker.

The AT-IPCFG004 is a fanless industrial PC equipped with two AI chips, the 'Hailo-8 AI Processor', and serves as a base model that can be customized or used for OEM purposes. By incorporating two AI chips, it supports multi-AI algorithms. Depending on the type of data sources being handled, such as images, audio, and time series, as well as the applications for which you want to train the data sources—such as classification, depth estimation, object recognition, face detection, and pose estimation—the optimal algorithm can be selected and applied in a multi-faceted manner.

Recently, various AI applications have reached a practical level. Their uses are diverse, and there are expectations for their application in various locations. However, implementing them at the edge requires addressing the heat dissipation of high-heat-generating components while ensuring coordination with machine control and maintaining strict environmental durability through temperature management, vibration control, and mechanical design. Analog Tech has compiled an approach for implementing image AI and edge AI in field environments, along with platform information for implementation, in a white paper. Please refer to it. You can find more information in the following catalog download from Ipros: https://premium.ipros.jp/analogtech/catalog/detail/619854/

This is an industrial PC equipped with NVIDIA(R) RTX A4000 and an integrated touch panel. It offers long-term supply, features a 27" TFT LCD, and complies with IP54 on the panel side. A capture card is also available as an option. For more details, please refer to our website. https://analogtech.co.jp/products/ipctpg000/

The AT-IPCWG series enables the utilization of all GPUs in industrial equipment. We will release various compact wall-mounted type Industrial PCs equipped with GPUs as solutions to leverage the capabilities of High Performance Computing for applications such as visual inspection, autonomous driving, and medical image analysis. We have further expanded the product line of the compact IPC AT-IPCWG002, which is equipped with the NVIDIA Tesla T4, to support all NVIDIA series from mid-range to high-end, capable of performing real-time high-load image processing, AI inference, and even AI analysis in special environments. For more details, please refer to our website. https://www.analogtech.co.jp/news/200414/

Next-Level IoT with Image, AI, and Control Data This seminar will introduce an 'integrated edge gateway' that can connect and integrate various systems used in production sites, such as control data from production lines controlled by PLCs and AI or image analysis data used for visual inspections, along with cloud-based integrated management and data analysis. This will be presented alongside an overview and case studies of Edgecross. 1. Content (1) Overview and case studies of Edgecross - Edgecross Consortium (2) Introduction of the integrated edge gateway and industrial PCs - Analog Tech 2. Target Audience Industry: General manufacturing Job Roles: Production engineers and IT engineers in manufacturing, SI/SE, developers from software vendors, software developers from machinery manufacturers, etc. Others: Those considering the combination of control data with images and AI.

Next-Level IoT with Image, AI, and Control Data This seminar will introduce an 'integrated edge gateway' that can connect and integrate various systems used in production sites, such as control data from production lines managed by PLCs, and AI and image analysis data used for visual inspections, along with cloud-based integrated management and data analysis. This will be presented alongside an overview and case studies of Edgecross. 1. Content (1) Overview and case studies of Edgecross - Edgecross Consortium (2) Introduction of the integrated edge gateway and industrial PCs - Analog Tech 2. Target Audience Industry: General manufacturing Roles: Production engineers and IT engineers in manufacturing, SI/SE, developers from S/W vendors, S/W developers from machinery manufacturers, etc. Others: Those considering the combination of control data with images and AI.

A housing with enhanced environmental durability is equipped with AI chips and AI modules for AI inference. This includes safety management at construction, agriculture, and surveying sites, as well as inspection sites for roads, tunnels, and bridges, and vehicles such as unmanned transport vehicles. We introduce a platform for implementing image AI and edge AI in harsh environmental conditions such as "high temperature/low temperature, water, high humidity, and dust." For more details, please refer to our company website. https://www.analogtech.co.jp