RFID brings sensory data to ChatGPT
So what is the relationship between this and RFID? According to Edward Espinosa, CEO and entrepreneur of XO2Tech. They have some very exciting synergistic effects, driving a new type of powerful interactive supply chain and consumer oriented applications together. RFID tags carry out the physical work of data transmission when being queried. Data can be anything from simple ID numbers to sensor information captured based on changes in RF fields. ChatGPT uses AI algorithms to solve problems, allowing users to derive value from this data.
Detecting conditions through RF waves
The RFTracker application of XO2Tech collects sensing data by tracking the RF characteristics of passive ultra-high frequency (UHF) or near-field communication (NFC) RFID or Bluetooth low-power (BLE) transmission. When the reader asks for a tag, the tag responds with its unique ID number. However, the transmission method will be affected by the surrounding environment. Espinosa stated that RFTracker technology utilizes this feature. According to Espinosa, RFTracker technology utilizes this feature.
For example, if someone touches a marked item, their body will physically change the transmission of the label. Then, the software can recognize this modification, which will indicate that someone has interacted with the marked item, whether it's a toothbrush, products on store shelves, or prescription bottles from hospitals. RFTracker can also detect other situations, such as whether there is a specific gas that may indicate that the product is beginning to deteriorate, or there is a liquid that can identify the leakage or measure the liquid volume in the bottle, or the vital signs of the body, such as blood pressure or heart or respiratory rate.
Users can place labels in strategic locations, such as food packaging, household items, or prescription bottles, to track the usage of items or products, or to monitor the health and behavior of individuals interacting with them, such as athletes or Alzheimer's patients. Then, the user can determine whether the patient has processed their medication, whether the medication has been removed from the table, or whether they are close to the patient.
Espinosa stated that XO2Tech holds multiple patents on this technology and is seeking potential partners to invest it in development and testing. He pointed out that the emergence of ChatGPT made it even more interesting. Developers have used Microsoft Azure to turn ChatGPT into a natural voice assistant similar to a smart speaker that can interact with human users in homes or businesses.