Indian Institute of Technology Kanpur

Sepio Products Private Limited

Other

Paul Abner Noronha

Darshan Dhruman Gandhi

Akhil Kumar Singh Rathore

Dattaprasad Narayan Kamat

Yashowanta Narayan Mohapatra

Murad Nathani

Nathani Murad

Biswanath Panda

Gandhi Darshan Dhruman

Kamat Dattaprasad Narayan

Sabine Juliane Tripathi

The present disclosure relates to the field of security systems and discloses a tamper detection device. The device () comprises at least one transducer (), a power supply unit (), a logical gate (), a processing unit (), and a tamper tag). The transducer () generates a trigger signal upon detection of a tamper event. The logical gate () is operable in an open state or a closed state. The processing unit () generates a tamper detection signal for changing the state of the logical gate () upon receiving the trigger signal or upon detecting loss of power supply from the power supply unit (). The change in state of logical gate () is detected by a set of sensors (), of the tamper tag (), which in turn cause an LED indicator (), of the tamper tag (), to indicate the state of the device. An auxiliary capacitor () is configured to supply power to the processing unit () in the absence of the supply of power from the power supply unit ().

Tamper detection device

The present disclosure relates to the field of security systems and discloses a tamper detection device. The device () comprises at least one transducer (), a power supply unit (), a logical gate (), a processing unit (), and, a tamper tag). The transducer () generates a trigger signal upon detection of a tamper event. The logical gate () is operable in an open state or a closed state. The processing unit () generates a tamper detection signal for changing the state of the logical gate () upon receiving the trigger signal or upon detecting loss of power supply from the power supply unit (). The change in state of logical gate () causes a tamper flag value stored in the tamper tag () to change, thereby indicating a tampered status to a reader scanning the tamper tag (). The device () detects a tamper event even if the device () is not damaged/broken during tampering.

In one aspect, a computerized method for anti-counterfeiting solution using a machine learning (ML) model includes the step of providing a pre-defined set of feature detection rules, a pre-defined set of edge detection rules, a pre-defined threshold percentage, an original seal, an original fingerprint of the original seal, and a pre-trained fingerprint identification model. The pre-trained fingerprint identification model is trained by a specified ML algorithm using one or more digital images of the original seal. With a digital camera of a scanning device, the method scans a seal whose authenticity is to be determined. The seal is used to secure a transportation container. The method uses the pre-defined set of feature detection rules to detect and extract an extracted feature image at a specified position on the seal. The method breaks down the extracted feature image of the seal into a 'kn' number of sub-images by forming a 'k' rows x &#x2018;n&#x2019; columns of a grid of the extracted feature image. The method implements the pre-defined set of edge detection rules to extract an edge structure of at least one object in each of the &#x2018;kn&#x2019; number of sub-images. The method generates a set of unique fingerprints by specified steps. The method includes generating a unique fingerprint corresponding to a unique number or a feature based on each extracted edge structure. For the set of unique fingerprints, the method generates a match percentage for the set of unique fingerprints using the pre-trained fingerprint identification model. The match percentage corresponds to a matching proportion between each unique fingerprint generated for the seal being verified and the original fingerprint of the original seal on which the pre-trained fingerprint identification model is trained.

System and method to determine the authenticity of a seal

Growing community of inventors

Maharashtra, India

Paul Abner Noronha