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  6. Significantly reduce processing time for embedded image recognition with "DNN Acceleration Service."

Significantly reduce processing time for embedded image recognition with "DNN Acceleration Service."

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last updated:Apr 22, 2026

東芝情報システム
東芝情報システム
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Accelerate your image recognition DNN model without sacrificing accuracy in a short period of time using automation technology!

Do you have any concerns about the performance and cost of DNN model development? ● Increasing processing speed reduces inference accuracy ● No effect of acceleration in the target environment (edge devices) ● Repeated manual model modifications, measurements, and evaluations lead to increased labor and time ● Difficult to optimize for embedded devices with limited memory              ▼ Leave it to our "DNN Acceleration Service" to shorten processing time while maintaining accuracy with our unique neural architecture search technology! ――― Features ―――――――――――――――――――― ◆ Accelerate while maintaining accuracy ◆ Provide optimal models in a short period ◆ Optimized for embedded and edge applications ―――――――――――――――――――――――――― The DNN Acceleration Service generates numerous modified models from your DNN model and searches for a DNN model that meets accuracy and performance requirements. By utilizing our unique automation and prediction technologies, we can explore the optimal DNN model in a short time. *DNN: Deep Neural Network*

    Embedded system design serviceSoftware (middle, driver, security, etc.)
スクリーンショット

Significantly reduce processing time for embedded image recognition with "DNN Acceleration Service."

スクリーンショット 2026-04-20 130759.png
スクリーンショット 2026-04-20 130759.png スライド27.PNG スライド28.PNG
  • Related Link - https://www.tjsys.co.jp/embedded/fasterdnn/index_j…
  • Special site - Product/service details - https://pr.mono.ipros.com/tjsystem/product/

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■What is the DNN Acceleration Service? Our unique automation technology accelerates the image recognition DNN models entrusted to us without compromising accuracy in a short period of time. < Point 1 > Balancing Speed and Accuracy We automatically create many modified models that improve processing performance with minimal impact on inference accuracy from the DNN models provided by our customers. By conducting evaluations on each modified model, we provide the most suitable DNN model that meets the target processing performance and inference accuracy. < Point 2 > Reducing Workload with Automatic Model Generation Technology For the automatically generated DNN models, we perform performance and accuracy predictions to automatically filter out modified models that are expected to fall short of the targets. Only the selected modified models undergo performance measurement and inference accuracy evaluation, allowing us to explore optimal models in a short period of time. ■Provision Format We will provide a DNN model that meets the target accuracy and performance by entrusting us with the DNN model, training data, and accuracy evaluation metrics.

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Please feel free to contact us with any questions or for a quote. Our products and services are sold to companies, organizations, and corporations.

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Applications/Examples of results

■Examples of DNN Acceleration Service Application - Semantic Segmentation [U-Net] - Bounding Box [YOLO X tiny] - Monocular Camera Distance Measurement Library [Our Proprietary DNN Model]

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東芝情報システム

東芝情報システム

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We will provide optimal solutions that contribute to our customers' businesses through our "extensive experience and achievements accumulated over many years" and "high technical capabilities" in the fields of embedded and LSI design.

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