AI edge computer that simultaneously processes multiple types of AI learning models.

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AT-IPCFG004

last updated：Nov 02, 2023

アナログ・テック

Simultaneous processing of multiple types of AI learning models.

■Equipped with two 'Hailo-8 AI processors' in a single fanless chassis■ The 'AT-IPCFG004' is an industrial computer with excellent environmental performance, featuring two high-performance AI chips designed for industrial applications. It can simultaneously apply different learning models, such as area recognition and object recognition, as well as object recognition and pose estimation, to input sources, thereby expanding AI inference capabilities. ■Equipped with two high-performance AI chips from Hailo, supporting multi-AI algorithms■ In AI deep learning, depending on the 'types of data sources' being handled, such as images, audio, and time series, as well as the 'analysis purposes' for what you want to learn from that data source, suitable algorithms are selected and applied accordingly for tasks like classification, depth estimation, object recognition, face detection, and pose estimation. Generally, in edge inference, one learning model is executed for one image source. With the AT-IPCFG004, by incorporating multiple Hailo-8 processors, it has become possible to 'simultaneously apply multiple algorithms to the source.'

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basic information

■What is Hailo's AI Chip 'Hailo-8 AI Processor'■ The Hailo-8 is an AI processing chip developed by Hailo that is specialized for AI tasks. It has the following features that make it particularly suitable for industrial applications among AI chips: Feature 1) AI processing with high power efficiency! Power efficiency of 3 TOPS/W Feature 2) High environmental durability! The chip can operate at temperatures from -40°C to 85°C Feature 3) Long-term supply planned! The chip is expected to be available for up to 10 years *The chip's SDK is available for free trial. <For more detailed information, please refer here> https://www.analogtech.co.jp/products-AI-Chip/ ■■Excellent Expandability and Custom Performance■■ The AT-IPCFG004 features a compact, fanless design with excellent heat dissipation, making it highly durable in challenging environments where rack mounting is difficult. It offers optional general-purpose interfaces such as RS232/422/485 and DIO, and allows for expansion with universal I/O for PoE and 10GbE, as well as the ability to swap components for industrial-grade parts like industrial SSDs.

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Applications/Examples of results

◎Safety Monitoring Monitoring safety in various facilities, including detecting worker intrusions into hazardous areas and observing worker behavior that deviates from normal patterns. Interlinked with PLC according to danger levels, triggering lamps, buzzers, and locking doors, in coordination with machine control. ◎Construction and Surveying Detection of intrusions into hazardous areas at construction sites. Control and assistance of construction machinery using image AI. Utilizing image AI to reduce worker burden and prevent accidents. Connecting image AI for environments that are assumed to be implemented outdoors and control to directly apply feedback to machines. ◎Agriculture and Dairy Farming Roboticization of agricultural machinery aimed at labor-saving and efficiency in agriculture. Implementation of image AI in outdoor environments, such as vehicles and drones, and connecting control to directly apply feedback to machines. ◎Vehicle Robotics Roboticization of various vehicles, including cars, buses, logistics robots, and unmanned forklifts, utilizing autonomous driving technology. Additionally, using image AI to assist vehicle users with tasks such as loading and unloading cargo and passengers. ◎Edge Computing Connection between machine control and the cloud. After real-time processing executed at the edge, data such as machine control and medical data is aggregated to the cloud.