TOKAI ELECTRONICS CO.,LTD.
Five focus domains

Medical

Empathetic medical and nursing care services: realizing society that provides peace of mind
We support the digitalization and networking of medical and nursing care scenes, working to propose visualization solutions for these environments from a fresh perspective. Guided by our concept of “Smile with Technology,” we listen closely to the voices of those in medical and nursing care scenes, striving to realize empathetic medical and nursing care services and a society that provides peace of mind.

Initiatives in the Medical Domain

Visualization for medical and nursing care scenes

Tokai Electronics provides support for digitalization and network building in medical and nursing care scenes, working on proposals for visualization in those scenes from new perspectives. We strive to realize solutions that meet the needs in the field, such as the development of systems for tracking test technician records using facial recognition, and monitoring solutions that use biosensors.

Open the future

Creating new solutions for medical and nursing care scenes

Bowel movement detection sensor

In elderly care facilities, falls when getting out of bed are a major challenge. Our company focuses on toileting as the cause of getting out of bed and proposes solutions to prevent falls, reduce discomfort, and ease the burden on care staff. We achieve this by using an odor sensor to visualize the contents of diapers.

Millimeter wave monitoring solution

Our solution allows monitoring of the daily activities of care recipients and their presence or absence in their room or bed while respecting their privacy. It also detects falls in real time and immediately notifies caregivers to prevent risks.

Test technician tracking system for medical and nursing care scenes

In medical facilities, often, multiple technicians take turns to use multiple testing devices, and there is a need for a speedy and certain system to track these technicians and devices. We propose a system that uses the technology of facial recognition systems to automatically recognize and record the technicians.