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创建页面，内容为“__TOC__ == '''Orange Pi AI Stick Lite Introduction''' == <br> Orange Pi AI Stick Lite has a built-in Lightspeeur SPR2801 AI chip, which empowers mobile phones, PCs a…”
__TOC__
== '''Orange Pi AI Stick Lite Introduction''' ==
<br>
Orange Pi AI Stick Lite has a built-in Lightspeeur SPR2801 AI chip, which empowers mobile phones, PCs and other devices to run real-time deep learning and achieve picture, video, speech and natural language recognition directly through a USB interface.<br>
<br>
== '''Features''' ==
<br>
- Supports USB 2.0 and 3.0 standard interface communication<br>
<br>
- No programming required, no language barrier<br>
<br>
- Open SDK for X86, ARM and other platforms<br>
<br>
- Support for Android, Linux and other operating systems<br>
<br>
- Support for neural network models such as VGG and SSD<br>
<br>
== '''What the Orange Pi AI Stick Lite can do?''' ==
<br>
- Target detection & classification<br>
<br>
- Mobile edge computing<br>
<br>
- Intelligent surveillance<br>
<br>
- Smart toys and robots<br>
<br>
- Smart homes<br>
<br>
- Virtual reality and augmented reality<br>
<br>
- Face detection and recognition<br>
<br>
- Speech recognition<br>
<br>
- Natural language processing<br>
<br>
- Embedded deep learning devices<br>
<br>
- Cloud-based machine learning and deep learning systems<br>
<br>
- Artificial intelligence data centre servers<br>
<br>
- Advanced assisted driving and automated driving<br>
<br>
== '''Notes''' ==
<br>
# Compatibility: It is workable with H2, H3, H5, H6, A64 Orange Pi development boards.
# Model transformation tools will be provided which supports model decomposition of convolutional neural network (CNN) based on caffe.
# PLAI training tool can directly apply the original image, video, voice, natural language rapid training prototyping to the neural network computing stick.<br>
<br>
== '''Product parameter(Refer to the official website details page)''' ==
== '''Orange Pi AI Stick Lite Introduction''' ==
<br>
Orange Pi AI Stick Lite has a built-in Lightspeeur SPR2801 AI chip, which empowers mobile phones, PCs and other devices to run real-time deep learning and achieve picture, video, speech and natural language recognition directly through a USB interface.<br>
<br>
== '''Features''' ==
<br>
- Supports USB 2.0 and 3.0 standard interface communication<br>
<br>
- No programming required, no language barrier<br>
<br>
- Open SDK for X86, ARM and other platforms<br>
<br>
- Support for Android, Linux and other operating systems<br>
<br>
- Support for neural network models such as VGG and SSD<br>
<br>
== '''What the Orange Pi AI Stick Lite can do?''' ==
<br>
- Target detection & classification<br>
<br>
- Mobile edge computing<br>
<br>
- Intelligent surveillance<br>
<br>
- Smart toys and robots<br>
<br>
- Smart homes<br>
<br>
- Virtual reality and augmented reality<br>
<br>
- Face detection and recognition<br>
<br>
- Speech recognition<br>
<br>
- Natural language processing<br>
<br>
- Embedded deep learning devices<br>
<br>
- Cloud-based machine learning and deep learning systems<br>
<br>
- Artificial intelligence data centre servers<br>
<br>
- Advanced assisted driving and automated driving<br>
<br>
== '''Notes''' ==
<br>
# Compatibility: It is workable with H2, H3, H5, H6, A64 Orange Pi development boards.
# Model transformation tools will be provided which supports model decomposition of convolutional neural network (CNN) based on caffe.
# PLAI training tool can directly apply the original image, video, voice, natural language rapid training prototyping to the neural network computing stick.<br>
<br>
== '''Product parameter(Refer to the official website details page)''' ==
