We will use Nvidia Deepstream to experience AI video development and shorten the development period. It can be widely used from schools to companies.
DeepStream provides a multi-platform, scalable TLS encryption security that can be deployed on-premises, at the edge, and in the cloud. It has numerous applications, including surveillance cameras, autonomous driving, video distribution, and video analysis. The platform uses Ubuntu and is intended for intermediate to advanced users. Additionally, installation services for beginners are also available. It is recommended to use it in conjunction with the separately sold transfer learning kit (TAO version). A low-code version of the graph composer is also available for beginners to use with confidence. DeepStream is a streaming analysis toolkit for AI-based multi-sensor processing and understanding of video, audio, and images.
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basic information
Features: (1) Provides all necessary functions for video AI development, enhancing experience and reducing time. Offers object recognition, segmentation, and application examples across multiple devices (Jetson, A100, RTX30 series) in Python and C++. Customization is easy, and TensorFlow and PyTorch are also available. High-speed TensorRT models are provided, significantly shortening development time. Experience a variety of examples first. (2) Collaborates with the TAO version to provide application examples. Build learning models with the separately sold transfer learning kit (TAO version) and offer practical examples such as pose detection, gaze detection, facial feature detection, license plate detection, vehicle type, and model detection, with customization options available. (3) Low-code version and extended features such as voice recognition. There is also a graph composer version of Deepstream that can be provided in a low-code format requiring no programming knowledge. Additionally, it can be integrated with Riva for voice recognition and speech synthesis. (4) Reliable support. Provides a comprehensive manual and 14 days of free support.
Price information
33,000 yen (including tax)
Price range
P2
Delivery Time
P2
Applications/Examples of results
Recommended for: - Those who are starting to implement video AI development and want to experience it. - Those who want to develop video AI quickly. - Those who want to develop video AI in conjunction with the TAO version using pre-trained models. - Those in the educational field considering using it as a practical teaching material for AI learning.
Company information
Our company provides a comfortable wireless LAN (WiFi) and M2M environment through wireless visualization. Additionally, we conduct on-site surveys and troubleshoot issues through radio wave surveys, security investigations, and traffic surveys. Please feel free to contact us if you have any requests.
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