Augmented Reality Risk Zone Overlay for Mining Vehicle Safety
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Solution Overview
Problem
Mining vehicles pose significant risks to workers and other machinery due to their size and movement, making it difficult for operators to assess and avoid potential hazards in real-time, leading to accidents.
Innovation Solution
A method and augmented reality display device that captures video streams, recognizes mining vehicles, calculates and visualizes risk zones in real-time, and provides alerts to prevent accidents by overlaying risk zones onto the operator's view, using image processing and geofences, and optionally incorporating external sensor data for enhanced safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are provided to monitor risk zones, then the coverage of risk zones is improved, but the device complexity increases
Solution Approach 1:
The wearable device integrates multiple functions including camera capture, image processing, risk zone calculation, and augmented reality display into a single system. This multi-functional integration reduces the need for separate monitoring systems while maintaining comprehensive risk zone coverage through the camera's field of view that corresponds to the person's field of view.
2Speed
If real-time image processing is performed to recognize mining vehicles, then the response time is improved, but the computational energy consumption increases
Solution Approach 1:
The system performs image processing selectively by recognizing specific mining vehicles in the camera stream and calculating risk zones only for detected vehicles. This partial processing approach reduces overall computational energy consumption compared to continuous full-scene processing, while maintaining real-time response for safety-critical vehicle detection.
Data Source
AI summary
A method for real-time visualization of a risk zone of a mining vehicle to a person on a mining worksite for augmenting the person's current view of the mining vehicle including capturing with a camera a stream of pictures corresponding at least partly to the person's field of view, recognizing at least one mining vehicle in the picture stream by means of image processing, extracting image data of the mining vehicle from the picture stream, calculating, based on the image data and on preset vehicle risk zone data, at least one risk zone of the mining vehicle adapted to the person's current view of the mining vehicle, and visualizing the risk zone on a person's display such that the person's current view of the mining vehicle is overlayed in real-time with the visualization of the risk zone.