AI Loading Lockout for Discharge Footprint Alignment
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Solution Overview
Problem
Existing loading systems often result in material being accidentally discharged onto improper locations, such as truck cabs, due to improper alignment of the discharge footprint with the receiving opening, leading to damage, waste, and potential injury.
Innovation Solution
A loading lockout system using AI and computer vision to identify the receiving opening of a vessel and prevent the loading gate from opening unless the discharge footprint is properly aligned, and ensuring no improper items are present in the discharge path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control of loading gate is used, then operator flexibility is maintained, but risk of accidental discharge onto improper locations increases
Solution Approach 1:
The patent introduces an intermediary system consisting of cameras, computer vision algorithms, and alignment verification mechanisms that mediate between the operator's control inputs and the actual loading gate operation. This intermediary automatically verifies the alignment of the discharge footprint with the receiving opening and detects improper items in the discharge path, preventing accidental discharge while preserving operator flexibility for legitimate operational decisions.
Solution Approach 2:
The patent replaces purely manual mechanical control with an automated optical detection and verification system. Computer vision technology substitutes for manual visual inspection, automatically detecting truck bed alignment and identifying improper items such as cabs, persons, or equipment in the discharge path, thereby eliminating human error while maintaining operational control.
2Productivity
If loading gate is opened without verification, then loading speed is maintained, but material may be discharged onto improper locations causing damage and waste
Solution Approach 1:
The patent implements preliminary verification actions before the loading gate is opened. The system performs automatic alignment verification by capturing images, detecting the receiving opening position, and calculating whether the discharge footprint is properly aligned with the truck bed. It also conducts preliminary scanning for improper items in the discharge path. Only after these preliminary verifications succeed does the system permit gate opening, preventing material waste from misdirected discharge.
Solution Approach 2:
The patent establishes a feedback loop where the system continuously monitors alignment conditions and provides real-time verification before allowing loading to proceed. The computer vision system captures images, processes alignment data, and feeds back approval or rejection signals to the loading control system. This feedback mechanism ensures that loading only occurs when proper alignment is confirmed, preventing material waste while maintaining efficient operation.
3Manufacturing precision
If alignment verification system is added, then discharge accuracy is improved, but system complexity increases
Solution Approach 1:
The patent uses optical copying through camera imaging to create a digital representation of the physical loading area. Instead of complex mechanical measurement systems, the system captures images of the truck bed, discharge footprint, and surrounding area, then uses computer vision algorithms to analyze alignment. This optical copying approach achieves high discharge accuracy while avoiding the complexity of mechanical measurement and positioning systems.
Solution Approach 2:
The patent replaces potential mechanical alignment verification systems with optical and computational methods. Instead of using mechanical sensors, encoders, or physical measurement devices, the system uses cameras and image processing algorithms to detect alignment. This substitution reduces mechanical complexity while maintaining or improving measurement accuracy through software-based verification.
Data Source
AI summary
A loading lockout system which takes an image of a vessel, recognizes the receiving opening of the vessel, and prevents the loading of material into the vessel until it determines that the discharge footprint of the material storage device is within the receiving opening of the vessel.