This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignees: Kyocera Corporation, Rist Gmbh. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Innovations by Tatsumasa Kabasawa
Introduction
Tatsumasa Kabasawa is an inventor based in Kyoto-shi, Kyoto, Japan. He is known for his contributions to the field of recognition model generation and management. Although he currently holds no granted patents, his work in developing innovative methods and devices showcases his expertise in the area.
Latest Patent Applications
Tatsumasa Kabasawa has filed several notable patent applications. One of his latest applications is for a "RECOGNITION MODEL GENERATION METHOD AND RECOGNITION MODEL GENERATION APPARATUS." This apparatus includes first recognition model generating means, providing means, and second recognition model generating means. The first recognition model generating means generates a first recognition model based on a plurality of composite images. The first recognition model outputs an object recognition result for input of an image. The providing means provides the object recognition result, yielded by input of a plurality of captured images of a detection target into the first recognition model, to the captured images as annotation data. The second recognition model generating means generates, based on the captured image and the annotation data, a second learning model.
Another significant application is for a "TRAINED MODEL MANAGEMENT DEVICE AND TRAINED MODEL MANAGEMENT METHOD." This device and method aim to update master models without degrading recognition accuracy in the user's environment. The trained model management device includes a first storage (A) that stores first training data and a first model, which is a trained model that has been trained to recognize a target object based on the first training data. It also includes a second storage (B) that stores second training data and a second model generated based on the second training data and the first model. An update determination unit makes a determination as to whether or not to update the first model based on the second learning data when the second model is generated.
Conclusion
Tatsumasa Kabasawa's innovative approaches in recognition model generation and management highlight his potential in the field of technology. His latest patent applications reflect a commitment to advancing recognition systems, even as he currently holds no granted patents. His work continues to pave the way for future developments in this area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile