Animal Certificate Generation with Sensor-Based Identity Verification
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Solution Overview
Problem
Nefarious individuals often evade regulatory requirements for animals by forging certificates or losing paperwork, leading to inefficiencies and lack of security in electronic devices used for animal record keeping and verification.
Innovation Solution
A system utilizing sensors, artificial intelligence, and machine learning to generate and verify animal certificates, including QR codes, that automatically gather and analyze data from remote databases, ensuring accuracy and compliance with regulatory standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generic computers are used to process animal paperwork, then basic record storage is achieved, but processing speed is slow and efficiency is poor
Solution Approach 1:
The patent replaces manual paper-based record keeping and generic computer processing with an automated electronic system that uses sensors (cameras, microphones, biometric scanners) to capture animal identification data and automatically processes it through AI algorithms. This substitution of mechanical/manual operations with automated electronic processing dramatically improves processing speed while managing system complexity through integrated hardware-software solutions.
2Ease of operation
If files are stored in memory without organization, then storage is achieved, but user access requires scrolling through files and remembering file names
Solution Approach 1:
The system implements self-service functionality where the electronic device automatically generates, organizes, and manages animal record files without requiring user intervention for file naming or organization. The system autonomously creates structured digital records, indexes them by animal identification, and makes them immediately searchable, eliminating the need for users to manually organize files or remember file names.
Solution Approach 2:
The system performs preliminary organization and structuring of records at the time of data entry. When animal data is captured through sensors, the system immediately organizes it into properly structured digital files with meaningful names and categories, preparing them for future retrieval without requiring subsequent user effort to locate or organize the information.
3Reliability
If generic computers are used for animal records, then basic storage is provided, but security is limited and accuracy verification is absent
Solution Approach 1:
The system incorporates feedback mechanisms where AI algorithms automatically verify the accuracy of captured animal identification data by comparing sensor inputs against stored records and regulatory requirements. The system provides real-time feedback on data completeness and accuracy, and automatically flags discrepancies for review, ensuring reliable and secure record-keeping while managing complexity through automated verification processes.
4Loss of information
If manual record keeping is used, then paperwork can be completed, but individuals can lose paperwork or fail to fill it out correctly
Solution Approach 1:
The patent replaces manual paperwork completion with automated electronic data capture using sensors that automatically fill in animal identification information. This substitution eliminates the need for manual form filling, preventing lost or incorrectly completed paperwork while maintaining operational simplicity through automated processes that guide users through minimal required inputs.
Data Source
AI summary
A method for generating a certificate for an animal is provided. The method can include obtaining, from at least one sensor, an animal related input of the animal, and obtaining, from an animal database, animal data based on the animal related input. The method can also include analyzing by one or more processors, the obtained animal related input and animal data to determine an identity of the animal, and obtaining, by the one or more processors, additional animal data based on the identity of the animal. The method can also include automatically generating, with the one or more processors, a certificate that includes an indicator based on the additional animal data.