In-Spector Co., Ltd. 2026

Development of an Industrial Diagnostic Platform That Transfers the “Eye” of Skilled Professionals and Above to AI

[① Development of an HSI Foundation Model Architecture] Currently, training must be performed from scratch for each domain, requiring several months and several million yen to build a model for a single domain. We are developing a foundation model that learns general-purpose representations from large-scale unlabeled spectral data. This enables application to new domains using only a small amount of labeled data.
【② Multiscale Data Fusion Algorithm】 Technology to bridge the accuracy gap between high-resolution ground-based data (10–30 cm) and satellite data (30 m) has not yet been established. We will realize a scalable system that enables wide-area industrial diagnostics using only satellite data by linking ground and satellite pixels via GPS coordinates.
[③ Implementation of an Edge AI Inference System] Since current systems rely on cloud processing, there are barriers to on-site deployment in environments with unstable communication, such as inside tunnels. By combining model quantization, pruning, and knowledge distillation, we enable real-time on-site inference—from image capture to classification—in under several tens of seconds.

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