Blockchain Presence Verification via Network Sensing
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Solution Overview
Problem
Current technologies lack an efficient and automated method to verify the presence and circumstances of transactions, particularly in scenarios where parties are not physically present, leading to potential fraud and disputes in delivery and service transactions.
Innovation Solution
The use of distributed ledger technologies, such as blockchain, to record and confirm presence indicia and facilitate remote, automated signatures through network presence sensing and asymmetric key encryption, ensuring tamper-resistance and unfalsifiability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exhaustive documentation of all deliveries is implemented, then fraud and disputes can be resolved, but time and resources are wasted creating records that will never be needed
Solution Approach 1:
The system implements selective documentation by using sensors to detect whether a recipient is present at the delivery location. When presence is detected, comprehensive records are created including sensor data, images, and video. When absence is detected, minimal records are created. This partial action approach ensures fraud detection capability is maintained for relevant cases while avoiding wasteful documentation of routine deliveries.
Solution Approach 2:
The system uses automated sensors, cameras, and other detection devices to self-document delivery circumstances without requiring manual record creation by carriers. The sensors automatically detect presence, capture images, and record video when delivery events occur, eliminating the need for carriers to manually create detailed records for every delivery attempt.
2Productivity
If no documentation of deliveries is created, then time and resources are conserved, but the possibility of mistake or fraud cannot be ruled out
Solution Approach 1:
The system creates comprehensive documentation only when sensor-detected presence indicates a delivery event actually occurred. For deliveries where no presence is detected, minimal documentation is created. This selective approach maintains fraud prevention capability for relevant cases while preserving delivery processing efficiency by avoiding unnecessary documentation.
Solution Approach 2:
The system replaces manual documentation processes with automated sensor-based detection and electronic record creation. Sensors, cameras, and other detection devices automatically capture and store delivery circumstances, eliminating the need for manual record-keeping while maintaining reliable fraud prevention through objective, sensor-based evidence.
3Reliability
If records are created to prove delivery, then disputes can be resolved, but the records can be forged by the delivery person
Solution Approach 1:
The system introduces sensors, cameras, and other detection devices as intermediaries that objectively record delivery circumstances. These sensors capture presence detection data, images, and video that serve as independent evidence not controlled by the delivery person, making forgery difficult while providing reliable dispute resolution capability.
Solution Approach 2:
The system replaces manual record creation with automated sensor-based documentation. Electronic sensors, cameras, and detection devices objectively capture and store delivery evidence, eliminating the possibility of manual forgery while simplifying verification through objective, sensor-based data that can be easily authenticated.
4Reliability
If automated presence sensing is implemented, then fraud is reduced and transparency is enhanced, but system complexity increases
Solution Approach 1:
The system uses multi-functional sensors and detection devices that perform multiple roles: detecting presence, capturing images, recording video, and storing data. This universal approach reduces the need for separate specialized devices, thereby reducing system complexity while maintaining high transaction verification integrity through comprehensive automated presence sensing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a secure, trustworthy, and contemporaneous record of transactions, reducing fraud and disputes by ensuring the integrity of transaction records and enhancing transparency in delivery and service verification processes.
Implementation Method 1
a wireless network device detects, via a wireless network, a presence of a mobile device
Data Source
AI summary
Systems and methods for confirming the presence of a person or asset for a given purpose, and recording this information in a distributed ledger. The distributed ledger records and confirms presence indicia in connection with a transaction said facilitates remote and/or automated signatures. The systems and methods detect the presence of one or more humans and/or computing devices at a specific location at the time of a transaction, and contemporaneously recording information concerning the transaction in a distributed ledger. Presence can be determined using network presence sensing (NPS), other types of sensors, or the combination of NPS with other sensors.