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RFID brings sensory data to ChatGPT

RFID brings sensory data to ChatGPT

Apr 12,2023
ChatGPT is an artificial intelligence (AI) chatbot technology that is touted as a solution to change everything from student research to mental health treatment through its ability to interact with humans and learn from each interaction. XO2Tech, a technology startup headquartered in Spain and the United States, stated that ChatGPT is enhanced by analyzing RFID transmission to perceive the situation around people and products, and providing perceptual data to the system. The company is currently discussing introducing solutions into commercial markets such as healthcare, retail inventory management, and home personal life management.

The ChatGPT, launched commercially in November last year, uses an intelligent feature officially known as the Generate Pre Training Converter (GPT), which is built on the OpenAI language model. It centers around imitating human dialogue, but it can also accomplish things that traditionally belong exclusively to human effort. Writing poetry, music, and student papers are just some of the more well-known functions. ChatGPT remembers the prompts received in each conversation and can grow over time as knowledge grows.

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.

Another application is generative marketing using AI and RFID tags. Espinosa states that essentially, if you touch or interact with a product, it will be detected. Then, through the information on the RFID tag, the CPU understands what you have touched and will provide you with marketing information. This may include RFID supply chain management tags being read within the reader range, as well as BLE functionality for consumers participating through smartphones.

Dual tags can provide both functions, as well as sensory data. Espinosa predicts that several applications will take the lead in utilizing ChatGPT and RF based transmission, such as using AI Animal Health or Vital Check solutions to analyze health data and provide diagnosis, treatment, products or drugs for the healthcare industry. He explained that this platform makes healthcare affordable and convenient. By detecting, monitoring, and analyzing the user's physical vital signs, and then conducting generative AI analysis on these data.

This is not for medical advice, Espinosa said. It's for pre diagnosis or as a medical assistant to provide information. This solution can be used by those seeking a cure for the disease without using medication, such as tracking their health status based on diet or supplements.


If you have any questions about RFID , please feel free to contact Yanzeo.

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