25-50% Rabatt

Infineon Technologies AGTRUSTCHARGEEVALKITTOBO1Eingebettete Systementwicklungsboards und -kits

Trusted authentication for wireless charging

The Infineon OPTIGA™ Trust Charge evaluation kit is the perfect way for developers to familiarize themselves with our hardware authentication solution for wireless charging, OPTIGA™ Trust Charge.

OPTIGA™ Trust Charge is a turnkey solution providing secured device authentication for inductive wireless charging. Secured authentication with OPTIGA™ Trust Charge contributes to device and user safety by protecting against fake chargers.

The evaluation kit comes with the OPTIGA™ Trust Charge solution. Open source code allows for easy integration. The kit combines our proven turnkey authentication solution with a powerful microcontroller, the XMC4700. Users can connect OPTIGA™ Trust Charge and explore its functionality and features through the I2C interface. Customers can use this kit for design-in or to create a good reference design for their own OPTIGA™ Trust Charge wireless charging application.



Features


  • •  Evaluation kit based on XMC4700 Relax kit with extension board (MyIoT Adapter)
  • •  OPTIGA™ Trust Charge
  • •  Open source code and Getting Started Guide hosted on GitHub
  • •  Application Note, showing a reference integration scheme for a wireless charging system


Benefits


  • •  The OPTIGA™ Trust Charge evaluation kit demonstrates OPTIGA™ Trust Charge functionalities and typical applications, which include power transmitter authentication for wireless charging.


Target applications


  • •  Mobile phones
  • •  Tablets
  • •  Cameras
  • •  Wearables
  • •  Health tech devices
  • •  Smart buildings

13 Stück: morgen versandbereit

    Total12,72 €Price for 1

    • morgen versandbereit

      Ships from:
      Vereinigte Staaten von Amerika
      Date Code:
      2047+
      Manufacturer Lead Time:
      26 Wochen
      Country Of origin:
      Deutschland
      • In Stock: 13 Stück
      • Price: 12,7201 €

    KI-Systeme in der Medizin

    Design-Tipps, empfohlene Komponenten und KI-Insights für bessere Diagnose- und Therapiegeräte – im aktuellen Whitepaper.