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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