Healthcare and elderly care
For staff identity, patient care, patrol check-in, and area management, with focus on protection, wearing comfort, and system integration.
Product / Smart Badge and Personnel Location Card
Smart badges and personnel location cards serve healthcare, campuses, factories, elderly care, aviation logistics, and large venues, combining e-paper, NFC, BLE, AOA, UWB, LoRa, and cold-pressed structures.


Identification and Location Options
NFC fits identity and access. BLE/AOA fits campus-level area location. UWB fits high-accuracy location. LoRa fits low-power wide-area connectivity. E-paper can show personnel data, status fields, and visitor labels.

Smart Healthcare Application
Across wards, nurses stations, and care handovers, an e-paper badge can show patient identity, admission number, department, bed, temperature, and current status. NFC supports near-field confirmation, while BLE/AoA or UWB can be added when the project requires area or higher-accuracy location.
For staff identity, patient care, patrol check-in, and area management, with focus on protection, wearing comfort, and system integration.
For employee identity, visitor access, personnel location, safety management, and asset association, with focus on battery life, accuracy, and infrastructure cost.
For workforce dispatch, temporary badges, area check-in, and device binding, with focus on durability, waterproofing, batch issuance, and backend integration.
Location accuracy, wireless protocol, infrastructure, e-paper size, battery capacity, waterproofing, drop resistance, wearing method, and system interface determine the badge configuration.
| Use cases | Hospitals, campuses, factories, elderly care, aviation logistics, exhibitions and venues |
|---|---|
| Key modules | E-paper, NFC, BLE/AOA, UWB, LoRa, battery, button, cold-pressed body |
| Related content | E-Paper Smart Card · Healthcare and Campus · RFQ |
Share use case, location accuracy, protocol, e-paper requirement, battery target, wearing method, system interface, and expected volume.