Farsens presents the TITAN battery-free RFID relay
The TITAN is a new battery-less relay that can be activated and deactivated wirelessly
The TITAN has a 96 bits EPC number, a 32 bit TID and a password protected Kill command. Built in a PCB format, it is available in different sizes. The communication range is up to 1.5 meters and the operating temperatures are from -30°C to +85°C (-22°F to +185°F). These actuator tags are available in a variety of antenna design and sizes, depending on the specific application. It can be encapsulated in an IP67 or IP68 casing for usage in harsh environments.
The fact that the actuator is full passive makes this relays ideal for hardly accessible or restricted areas and those where the use of batteries is not recommended. The TITAN will never require a battery change, saving the costs associated to maintenance.
TITAN tags are used in energy scarce applications where the stored energy is limited and the system/circuit is controlled via a wireless battery-free relay. The circuit can be opened and closed from a commercial RFID reader. The bistable relay allows the system to run so that the limited battery is only switched on during the time the user actually needs it to be running.
Battery-free relays are also a good fit for retrofitting in places where lots of mechanical relays are being manually operated. The fact that each relay is uniquely identified by its ID number makes automation a lot easier and activation/deactivation can easily be implemented in an easy to use reader software. Mistakes due to human intervention can be reduced to the minimum this way.
Farsens designs and manufactures full passive RFID sensor solutions. Their proprietary UHF RFID IC allows Farsens to develop long range solutions for asset tracking - via the unique ID -
Press releases you might also be interested in
Weitere Informationen zum Thema "Hardware":
Was sind (KI-)Akzeleratoren?
Unter Akzeleratoren versteht man „Turbo-Prozessoren“, hauptsächlich im Bereich von KI-Anwendungen, die spezifische Aufgaben wie zum Beispiel Mustererkennung, Analyse unstrukturierter Daten, Monte-Carlo-Simulationen, Streaming-Aufgaben oder den Aufbau neuronaler Netze übernehmen.Weiterlesen