AI Seal And Container ID Verification for Faster Truck Intake
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Solution Overview
Problem
Current systems for verifying the integrity of transportation containers are time-consuming and inefficient, particularly in identifying and validating truck and container information due to variability in seal and identifier locations and formats.
Innovation Solution
An AI-powered system that uses local and global AI networks to identify and verify truck and container information by analyzing sensor data from cameras and drones, adjusting sensor positions, and leveraging a global database for accurate identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual verification of truck and container information is performed, then identification accuracy can be maintained, but verification time increases significantly
Solution Approach 1:
The patent replaces manual mechanical verification processes with an automated optical inspection system using cameras and image processing algorithms. The system automatically captures images of seals and identifiers, processes them through AI-based recognition algorithms, and validates the information without human intervention, thereby maintaining high accuracy while dramatically reducing verification time.
Solution Approach 2:
The system enables self-service verification where the truck and container information is automatically captured, processed, and validated by the inspection system itself. The automated image processing and AI recognition allow the system to perform its own verification without requiring external manual inspection, thus eliminating time loss while maintaining accuracy.
2Productivity
If automated identification systems are implemented, then verification speed increases, but system complexity increases due to variability in seal and identifier formats
Solution Approach 1:
The patent implements a universal inspection system capable of handling multiple seal types, identifier formats, and container configurations through a single multi-functional platform. The system uses adaptable image processing algorithms and AI-based recognition that can automatically adjust to different formats and styles, eliminating the need for multiple specialized systems and reducing overall complexity despite handling diverse inputs.
Solution Approach 2:
The system manages variability in seal and identifier formats by dynamically adjusting processing parameters and recognition thresholds based on the detected input type. The AI-based image processing automatically adapts to different fonts, sizes, colors, and layouts by changing its analysis parameters, thereby maintaining high verification speed without requiring complex manual configuration for each variant.
3Reliability
If trucks are verified upon arrival, then security and integrity can be ensured, but truck backups occur causing fuel waste and safety risks
Solution Approach 1:
The patent performs preliminary verification of seal integrity and identifier information automatically as trucks approach or enter the facility, rather than requiring them to wait in line for manual inspection. The automated optical system captures and processes images in real-time, allowing verification to occur before trucks need to stop or queue, thus ensuring integrity while minimizing waiting time and associated fuel waste.
Data Source
AI summary
A system for identifying an aspect of interest on a vehicle that includes a local AI system that can analyze sensor data from an on-site sensor to make an attempt to identify the aspect of interest according to first criterion. The aspect of interest can be information printed on the vehicle and/or on a seal of the vehicle. If the local AI system is unable to identify and validate the information on the first effort, it can consult with a central/global AI system that can leverage its own database and other local systems at other locations for subsequent attempts at identifying and validating the aspects of interest.