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Jinan Yukong Information Technology Co., Ltd

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Advantech/Advantech MIC-770 Compact Industrial Control Computer

NegotiableUpdate on 04/25
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Overview
Advantech/Advantech MIC-770 compact industrial computer $r $n, with Intel high-performance CPU, -10~60 ℃ wide temperature range, and i-Module expansion, has become a stable computing power base for intelligent security, AI quality inspection and other scenarios. Fanless design, compatible with 12th generation Core and NVIDIA L4 GPU, with wide voltage and remote management capabilities, empowering intelligent manufacturing and roadside perception. Equipped with multiple generations of Core processors, it supports wide temperature, wide pressure and flexible expansion, and adapts to industrial automation, intelligent transportation and other edge computing scenarios.
Product Details

Advantech/Advantech MIC-770 Compact Industrial Control Computer

Basic Edition

Adopting the eighth/ninth generation Core desktop processors (LGA 1151 interface), with a maximum of 8 cores, L3 cache capacity of up to 12MB, and TDP power consumption of up to 65W, it can meet the needs of conventional industrial computing;

V2 version

Upgrade to the 10th generation Xeon/Core processor (LGA 1200 interface), with an increased number of cores to 10 and DDR4 2933MHz memory, further enhancing data processing efficiency;

Latest V3 version

It supports the 12th/13th/14th generation Core processors (LGA 1700 interface), with a maximum of 24 cores and an increased L3 cache capacity of 30MB. It also comes standard with DDR5 4800MHz memory,

The maximum capacity can reach 128GB, achieving a leapfrog improvement in performance. Some models can also integrate NVIDIA ® L4 GPU, Equipped with 7424 CUDA cores and 24GB GDDR6 video memory,

Provide powerful computing power support for industrial AI tasks



Advantech/Advantech MIC-770 Compact Industrial Control Computer

Industrial Automation and Intelligent ManufacturingWith high stability and computing power support, it has become a core equipment in industrial scenarios: equipment control: as the upper computer of PLC and DCS systems, it connects sensors, actuators and other devices through multiple serial ports and USB interfaces to achieve real-time control and data acquisition of production lines; AI Quality Inspection and Machine Vision: Models equipped with NVIDIA L4 GPU can handle complex machine vision tasks, such as product defect detection and size measurement, supporting real-time inference and accurate judgment; Predictive maintenance: analyze equipment operation data through edge computing capabilities, early warn failure risks, reduce downtime losses, and adapt to the operation and maintenance needs of intelligent factories.

Intelligent Transportation and Roadside PerceptionAdapt to the harsh outdoor environment and support the upgrading of traffic intelligence: roadside edge computing: as the host of smart highway MEC node, it processes the data collected by cameras, radars and other roadside devices to achieve vehicle road collaboration, traffic flow monitoring and event early warning; Traffic control terminal: with wide temperature and pressure characteristics, it is suitable for outdoor changing environments. It connects traffic signal lights, variable information boards and other devices through multiple network ports and serial ports to ensure stable operation of the transportation system.

Intelligent security and video surveillanceProvide edge computing support to strengthen the response capability of the security system: video stream processing: dual gigabit network ports can access multiple high-definition cameras, and realize real-time video analysis, target recognition and abnormal behavior early warning through local edge computing to reduce cloud transmission pressure; Security terminal host: IP40 dustproof and wide temperature design suitable for multiple scenarios such as computer rooms and outdoor cabinets, stable operation of security management software and storage of monitoring data.

Robots and Edge AI ScenariosProvide computing power base and control center for smart devices: Robot control: High performance processors and multi interface configurations can serve as the main control unit for industrial robots and service robots, achieving motion control, environmental perception, and task planning; Edge AI reasoning: In scenarios such as smart retail and smart healthcare, GPU acceleration is used to implement edge AI applications such as customer flow statistics and medical record analysis, improving service response speed.