To detect fraudulent activities

It was a security-related application we worked on. The client was looking for an Advanced Multimedia Processing developer to create an APK/API for identifying RFID tag movement on both iOS and Android. The tag would be affixed above the VIN plate on the windshield of an automobile. The client contacted us for a program that would identify if the tag is modified or not and remove that if required. The accuracy of the tag would be determined if it detected fraudulent activities.

Fraud Detection SDK

Detailed Specifications 

An accurate native application library to determine the alteration of an RFID tag from its original placement or its exact geometric layout. 

How we addressed this project

We used OpenCV for auto-detection of RFID stickers and created an SDK to allow the user to calculate the distance of the initial character of the VIN number from four corner points of the RFID sticker. 

These calculated points are saved in DB with relevant automobile’s RFID details so that SDK can easily detect fraud done in case the RFID sticker is changed or its position is moved.

Technology Used

  • iOS

  • Android

  • OpenCV

To detect fraudulent activities

It was a security-related application we worked on. The client was looking for an Advanced Multimedia Processing developer to create an APK/API for identifying RFID tag movement on both iOS and Android. The tag would be affixed above the VIN plate on the windshield of an automobile. The client contacted us for a program that would identify if the tag is modified or not and remove that if required. The accuracy of the tag would be determined if it detected fraudulent activities.

Fraud Detection SDK

Detailed Specifications 

An accurate native application library to determine the alteration of an RFID tag from its original placement or its exact geometric layout. 

How we addressed this project

We used OpenCV for auto-detection of RFID stickers and created an SDK to allow the user to calculate the distance of the initial character of the VIN number from four corner points of the RFID sticker. 

These calculated points are saved in DB with relevant automobile’s RFID details so that SDK can easily detect fraud done in case the RFID sticker is changed or its position is moved.

Technology Used

  • iOS

  • Android

  • OpenCV

To detect fraudulent activities

It was a security-related application we worked on. The client was looking for an Advanced Multimedia Processing developer to create an APK/API for identifying RFID tag movement on both iOS and Android. The tag would be affixed above the VIN plate on the windshield of an automobile. The client contacted us for a program that would identify if the tag is modified or not and remove that if required. The accuracy of the tag would be determined if it detected fraudulent activities.

Fraud Detection SDK

Detailed Specifications 

An accurate native application library to determine the alteration of an RFID tag from its original placement or its exact geometric layout. 

How we addressed this project

We used OpenCV for auto-detection of RFID stickers and created an SDK to allow the user to calculate the distance of the initial character of the VIN number from four corner points of the RFID sticker. 

These calculated points are saved in DB with relevant automobile’s RFID details so that SDK can easily detect fraud done in case the RFID sticker is changed or its position is moved.

Technology Used

  • iOS

  • Android

  • OpenCV

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