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Horned Sungem vision kit
Horned Sungem is one of the simplest and most versatile ways for all developers, students, AI enthusiasts and hobbyists to easily create their own AI applications. With no dependence on deep learning frameworks or complex libraries, your device will be ready to see and understand the world after plugging Horned Sungem into the USB port and running a short setup script.
With its unique integrated front-end design, Horned Sungem is able to analyze and detect objects, faces, etc. from captured images in real time.
Horned Sungem bundles complex development processes, such as neural network training, eliminating the cost of learning artificial intelligence technology and pleasing creative artificial intelligence applications such as smart cameras, smart robots, etc.
- Integrates Intel Movidius MA245X convolutional neural network gas pedal
- USB Type-C connector, supports USB 3.0, plug-and-play, easy to use
- Compatible with Raspberry Pi or PC
- Low power consumption
- Supports most platforms such as Linux (Ubuntu / Raspbian), Android, Windows (coming soon), MacOS, etc.
- Supports AI models such as GoogleNet, MobileNet, SSD, Tiny YoloV1, Tiny YoloV2, etc.
- Supports neural network infrastructures such as Tensorflow, Caffe, Darknet, etc.
- Provides SDK download and quick start tutorial
WV15394
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Horned Sungem is one of the simplest and most versatile ways for all developers, students, AI enthusiasts and hobbyists to easily create their own AI applications. With no dependence on deep learning frameworks or complex libraries, your device will be ready to see and understand the world after plugging Horned Sungem into the USB port and running a short setup script.
With its unique integrated front-end design, Horned Sungem is able to analyze and detect objects, faces, etc. from captured images in real time.
Horned Sungem bundles complex development processes, such as neural network training, eliminating the cost of learning artificial intelligence technology and pleasing creative artificial intelligence applications such as smart cameras, smart robots, etc.