Truck Bed Load Monitoring With Camera Alerts for Shifting Cargo
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Solution Overview
Problem
Drivers cannot safely monitor loads in vehicles, especially when the load shifts or becomes unstable, as the rear compartments are often out of view while driving, posing risks of fragile items breaking or falling out.
Innovation Solution
A monitoring system equipped with cameras and an electronic control unit that captures image data, determines load movement, and provides notifications when the movement exceeds a threshold, using machine learning algorithms and edge computing for real-time processing and prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver monitors the load continuously, then the load stability can be ensured, but the driver cannot focus on driving safely
Solution Approach 1:
The patent introduces cameras and image processing systems as intermediaries between the driver and the load. The driver does not directly monitor the load but receives processed information (alerts, images) from the monitoring system, allowing the driver to focus on driving while the system handles load surveillance
Solution Approach 2:
The patent replaces the mechanical/visual monitoring system (driver's eyes and attention) with an electronic monitoring system using cameras, processors, and alert mechanisms. This substitution allows continuous automated monitoring without requiring driver attention
2Measurement precision
If the driver stops to check the load frequently, then the load position can be verified, but the transportation efficiency decreases
Solution Approach 1:
The system provides continuous feedback through image capture and processing, comparing current load positions with reference positions. The driver receives targeted alerts only when actual deviations exceed thresholds, eliminating the need for frequent unnecessary stops while maintaining accurate load position verification
Solution Approach 2:
Instead of continuous monitoring that would require constant driver attention, the system uses selective monitoring - capturing images continuously but only generating alerts when load movement exceeds predetermined thresholds. This partial action approach maintains productivity while ensuring load security
3Device complexity
If no load monitoring system is used, then the system complexity is low, but the risk of load shifting and falling out increases
Solution Approach 1:
The patent introduces cameras and image processing systems as intermediaries between the driver and the load. The driver does not directly monitor the load but receives processed information (alerts, images) from the monitoring system, allowing the driver to focus on driving while the system handles load surveillance
Solution Approach 2:
The patent replaces the mechanical/visual monitoring system (driver's eyes and attention) with an electronic monitoring system using cameras, processors, and alert mechanisms. This substitution allows continuous automated monitoring without requiring driver attention
4Reliability
If the driver relies on visual monitoring only, then the monitoring cost is low, but the monitoring coverage and reliability are insufficient
Solution Approach 1:
The patent introduces cameras and image processing systems as intermediaries between the driver and the load. The driver does not directly monitor the load but receives processed information (alerts, images) from the monitoring system, allowing the driver to focus on driving while the system handles load surveillance
Solution Approach 2:
The patent replaces the mechanical/visual monitoring system (driver's eyes and attention) with an electronic monitoring system using cameras, processors, and alert mechanisms. This substitution allows continuous automated monitoring without requiring driver attention
Data Source
AI summary
Methods, systems, and apparatus for a monitoring system to monitor and detect a vehicle load. The monitoring system includes a first camera configured to capture first image data including a load in the vehicle, a memory configured to store image data, and an electronic control unit coupled to the first camera and the memory. The electronic control unit is configured to obtain, from the first camera, the first image data including the load, determine a movement of the load based on the first image data, and provide a notification when the movement of the load exceeds a first threshold.


