Ricoh had three patents in internet of things during Q1 2024. The patent filed by Ricoh Co Ltd in Q1 2024 describes a vibration detector with a vibration member that vibrates in a thickness direction, connected to a fixed end beam member and a fixed member. A strain detection member is used to detect strain of the vibration member, with specific dimensions and orientations specified for optimal functionality. GlobalData’s report on Ricoh gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Ricoh grant share with internet of things as a theme is 33% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Vibration detector, sound wave detector, microphone, and wearable device (Patent ID: US20240035879A1)

The patent filed by Ricoh Co Ltd. describes a vibration detector that includes a vibration member, a fixed end beam member, a fixed member, and a strain detection member to detect strain of the vibration member. The design ensures that the length of one end of the fixed end beam member is shorter than a length of one side of the vibration member, with the side of the vibration member opposed to the fixed member. The strain detection member may include a piezoelectric film and is asymmetrical with respect to the center of the fixed end beam member.

Additionally, the vibration detector may include multiple vibration members and fixed end beam members, with the total length of the fixed end beam members being shorter than the length of the vibration member. The vibration member may have a cantilever structure with a weight member positioned symmetrically with respect to the fixed end beam member. The components of the detector are bonded together to form a single body, and the fixed end beam member may have openings. The patent also mentions applications of the vibration detector in sound wave detectors, microphones, and wearable devices.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.