To maximize AI performance, high-quality training data, model optimization, and integration with image processing are essential. We offer a comprehensive range of services, from AI training support to model optimization, performance analysis, and the design and implementation of imaging algorithms. Using technology that operates with high accuracy and speed even in resource-constrained environments, we deliver AI and image processing solutions that directly support product development and mass production design.
High-quality training data is essential for maximizing AI performance. Our solution streamlines image rating and improves data infrastructure, reducing the burden of collecting and annotating vast amounts of data. It intelligently optimizes the training process, delivering both faster development and improved accuracy.
We downsize high-precision AI models using techniques such as pruning, quantization, and distillation. By optimizing the models for specific target devices, we enable AI that operates quickly and efficiently—even with limited CPU/GPU resources. Our solutions also offer flexible support for deployment in edge Al applications.
We analyze scenarios where AI does not perform as expected and visualize its internal behavior. By identifying the causes of reduced accuracy and understanding the patterns it handles well and those it struggles with, we help improve AI reliability and reduce the risks associated with its deployment in the field. This approach also contributes to the operational phase following implementation.
We provide end-to-end support, from system design tailored to your specific needs to the optimization of imaging software pipelines. By leveraging our reference software for IoT cameras, we enable rapid proof-of-concept and effectiveness verification, supporting a smooth transition to mass production.
We design and tune image processing algorithms to suit specific sensors, field environments, and AI applications, providing optimal imaging solutions that enhance visibility and AI recognition accuracy. Furthermore, we optimize the design through refactoring and pipelining to align processing operations and data flows with hardware resources such as GPUs, enabling compact and high-speed implementations.
Windowsのプロパティの「サイズ」を確認し、
・合計ファイルサイズ（※build/Debug/Release 等のビルド生成物は除外）
・フォルダ数、ファイル数
を記入ください。
【 対象範囲 (重要) 】
マイコン依存がないソフトウェアブロック（他マイコン/PC等でもそのまま利用できる共通部）は、分かる範囲で上記の集計対象から除外してください。
（除外してよい例）
・汎用ミドルウェア：USBスタック、TCP/IP、TLS、ファイルシステム等（マイコン依存層を除く）
・暗号/圧縮/画像処理などの共通ライブラリ
