Work Machine Detection System Using Zone-Based Image Analysis
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Solution Overview
Problem
Existing work machines lack effective systems to alert operators of humans or objects too close to the machine during operation, risking injuries from unperceived or moving objects.
Innovation Solution
A detection system comprising cameras, a processor, and a warning system that captures images of zones surrounding the work machine, analyzes them for predetermined objects, and automatically activates a warning or override system to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If no detection system is installed on the work machine, then the device complexity is low, but the operator safety and object detection capability are insufficient
Solution Approach 1:
The detection system is divided into separate functional modules: cameras for image capture, processor for image analysis, and warning system for alerts. This segmentation allows each component to perform its specific function efficiently while maintaining overall system reliability for operator safety without excessive complexity.
Solution Approach 2:
The detection system acts as an intermediary between the work machine operator and the surrounding environment. The cameras and processor serve as intermediaries that detect objects and translate this information into warnings, bridging the gap between the operator's limited field of view and the actual safety conditions around the machine.
2Area of stationary object
If multiple cameras and zones are used to monitor all areas around the work machine, then the detection coverage is improved, but the device complexity and image processing requirements increase
Solution Approach 1:
The monitoring area around the work machine is divided into multiple defined zones, each monitored by specific cameras. This segmentation of the detection area allows comprehensive coverage without requiring a single complex system, as each zone can be independently configured and processed.
Solution Approach 2:
The system monitors multiple zones simultaneously in different spatial dimensions around the work machine. By dividing the three-dimensional space around the machine into distinct zones and assigning cameras to monitor specific zones, the system achieves comprehensive coverage while managing processing complexity through spatial organization.
3Loss of time
If real-time image analysis is performed to detect objects in critical zones, then the response time is improved, but the processing power requirements and energy consumption increase
Solution Approach 1:
The system performs preliminary actions by continuously capturing images and pre-processing them even before object detection is required. The processor is already in a state of analyzing image data, so when an object enters a critical zone, the detection can occur with minimal additional processing time, reducing the effective response time without proportionally increasing energy consumption.
Solution Approach 2:
The image capture and analysis is performed periodically at regular intervals rather than continuously in real-time. This periodic action maintains adequate detection response time while significantly reducing the energy consumption compared to continuous real-time processing, as the system only needs to process a fraction of the total possible frames.
Data Source
AI summary
A detection system used to alert an operator of a work machine of humans or objects dangerously close to the machine or a work tool attached to the machine. The detection system uses one or more cameras to capture images of an area surrounding the machine. The captured images are displayed on an interface electronically connected to a processor. Prior to operation, one or more zones surrounding the work tool or work machine are defined and projected on the images displayed on the interface. The processor analyzes the images captured by the cameras and determines if a characteristic of a predetermined object is within one or more of the identified zones. If the processor determines the characteristic of the predetermined object is within one of the zones, the processor will identify the object on the display and trigger a warning system to alert to the operator to take necessary precautions.