Work Machine Area Monitoring Through Object Route Detection
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Solution Overview
Problem
Existing classification algorithms for identifying objects in a work area of a work machine are inaccurate, computationally intensive, costly, and require human supervision, making them impractical and inefficient.
Innovation Solution
A sensor system generates input signals to track the position of objects in a work area and a predetermined surrounding area, using multiple sensing devices, and a controller determines the object's moving route to generate a response signal if it enters the work area, eliminating the need for object classification algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a classification algorithm is used to identify objects in the work area, then object identification capability is provided, but accuracy is poor and reliability is low
Solution Approach 1:
The patent extracts and eliminates the object classification step from the traditional detection system. Instead of using classification algorithms to identify what objects are in the work area, the system only tracks object positions and determines whether they entered the work area, removing the unreliable classification component while maintaining effective monitoring capability
Solution Approach 2:
The system uses sensor data to create a digital representation of object positions and movement trajectories without needing to physically identify or classify the objects. This positional copying approach bypasses the need for accurate object classification while still achieving the monitoring objective
2Difficulty of detecting and measuring
If a classification algorithm is used to identify objects, then object detection capability is provided, but computational power requirements are high
Solution Approach 1:
The patent removes the computationally intensive object classification step from the detection process. By focusing only on position tracking and entry detection rather than full object identification, the system significantly reduces computational power requirements while maintaining effective work area monitoring
Solution Approach 2:
The system performs only the necessary portion of object analysis - tracking position and determining work area entry - without performing excessive classification and identification operations. This partial action approach achieves the monitoring goal with minimal computational effort
3Adaptability or versatility
If picky sampling techniques are used for object classification, then classification capability is provided, but costs are high and performance is low
Solution Approach 1:
The patent eliminates the need for picky sampling techniques by removing object classification from the process entirely. The system achieves effective monitoring through position tracking alone, avoiding the high costs and low performance associated with sophisticated sampling and classification methods
4Reliability
If a supervisor continuously monitors the work area, then object entry detection is provided, but human interference increases and operational feasibility decreases
Solution Approach 1:
The system performs self-service monitoring through automated sensors and processing that continuously track object positions and detect work area entries without human intervention. This eliminates the need for supervisor involvement while maintaining reliable detection capability
Solution Approach 2:
The patent replaces the mechanical/human supervision system with an automated sensor-based system. Sensors continuously monitor the work area and automatically detect object entries, substituting human operators with an automated electronic monitoring system that improves feasibility while maintaining reliability
Data Source
AI summary
A system for monitoring a work area of a work machine includes a sensor system. The sensor system generates one or more input signals corresponding to a position of at least one object present in at least one of the work area and a predetermined area. The input signals are indicative of the position of the object at different instances of time. The system also includes a controller communicably coupled to the sensor system. The controller includes one or more memories and one or more processors. The one or more processors receive the one or more input signals, determine a moving route of the object based on the receipt of the one or more input signals, and generate a response signal if a start point of the object is located in the predetermined area and an end point of the object is located at the work area.