Edge AI (Artificial Intelligence) Real-time Calculation
In Industrial applications, the data is used mostly for the detection and control of abnormalities. But, the potential performance is for the optimization and prediction. Edge computing allows real-time operations for critical processes such as data analysis, decision making and taking action. It also decreases the costs and manpower requirements in data transmission and operation accuracy. Therefore, in many field like automation industries, visual inspection is increasingly used by Edge AI computing technology. In vehicle, smart ADAS driver assistance and incident detection also quite rapidly start to be adopted different autonomous vehicle applications.
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Smart Vehicle Control UnitThe rapid pace of developments in Artificial Intelligence (AI) edge computing is enhancing the safety of autonomous vehicles within the transport sector.
MX1-10FEP-D's ability to control reliably the high-speed transmission and processing of received data from AI inference combined devices, minimizes any risks, so being able the transformation towards fully smart Autonomous Vehicles.
Solutions: MX1-10FEP-D
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Traffic Flow MonitoringWith greater detection accuracy and real-time responsiveness to reduce congestion and enhance safety, to develop AI solution can analyze and identify vehicles in real-time traffic control, monitoring traffic flow, congestion prediction, traffic management, and operating decisions.
MiTAC's embedded system MB1 integrated Intel® MovidiusTM MyriadTM X to run the inference faster and achieve higher efficiency. The small but powerful MB1 meet the needs of low power consumption allocation, such as surveillance and transportation. With these advantages, MiTAC recommend MB1 to be implemented in AI edge computing device.
Solutions: MB1-10AP + Intel® MovidiusTM MyriadTM X
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