Smart Glasses AR Warning for Workplace Danger Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Workplaces such as construction sites experience frequent accidents due to contact with moving dangerous objects, leading to human and material damages, and there is a need for a method to effectively notify workers of potential dangers in their vicinity.
Innovation Solution
A system and method utilizing image processing and location tracking technology, where a server partitions the workplace into sections, detects dangerous objects, and broadcasts their coordinates, while smart glasses recognize augmented reality markers to display warnings in augmented reality mode, setting adjacent areas as warning zones with distinct colors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional safety monitoring methods are used in workplaces, then the system complexity is low, but the detection precision and reliability of dangerous areas and objects are insufficient
Solution Approach 1:
The workplace is divided into a grid system with multiple sections, each assigned coordinates. This segmentation allows precise localization of dangerous objects and areas within specific grid sections, improving detection precision while maintaining manageable system complexity through modular spatial organization
Solution Approach 2:
A server acts as an intermediary between cameras, signal generators, and smart glasses. The server coordinates image analysis, detects dangerous objects, manages grid coordinates, and communicates with wearable devices, thereby improving overall system precision without requiring direct complex interactions between all components
2Reliability
If real-time location tracking and image analysis are implemented, then the reliability of danger detection is improved, but the use of energy and computational resources increases
Solution Approach 1:
The workplace grid system and coordinates are pre-established before operations begin. Dangerous areas and objects are pre-identified and marked in the grid system, allowing the system to rely on pre-computed spatial information rather than continuous heavy computation, thereby improving reliability while reducing real-time energy consumption
Solution Approach 2:
Smart glasses continuously identify their own coordinates using signals from generators and perform autonomous judgment about their proximity to dangerous objects based on received coordinate information. This self-service approach reduces the computational burden on the server and overall system energy consumption while maintaining high reliability
3Ease of operation
If smart glasses with augmented reality display are used, then the ease of operation and worker awareness is improved, but the device complexity and cost increase
Solution Approach 1:
The system replaces traditional mechanical or visual warning systems with augmented reality technology integrated into smart glasses. The AR display overlays dangerous areas and objects directly in the worker's field of view, dramatically improving ease of operation and awareness. The complexity is managed by implementing AR functionality in software on existing wearable platforms rather than requiring completely new hardware systems
Solution Approach 2:
Different colors are used to represent different hazard levels in the augmented reality display (e.g., red for dangerous areas, yellow for warning zones). This visual encoding simplifies the interpretation of complex spatial data, making the system easier to operate and understand while the color rendering is handled by standard display technology
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances worker safety by providing real-time notifications of dangerous areas and objects, reducing accidents and associated losses by visually alerting workers through augmented reality displays on smart glasses.
Implementation Method 1
The smart glasses may be configured to continuously identify the coordinates of the smart glasses by performing triangulation using signals outputted from the at least three signal generators
Implementation Method 2
The server may be configured to detect a movement of the dangerous object through image analysis of the image obtained by photographing the workplace
Data Source
AI summary
A system and method for detecting and notifying access to a dangerous area in a workplace using image processing and location tracking technology are disclosed. The system includes a server configured to partition a workplace into grating sections to assign coordinates, set a dangerous object or a dangerous area, and broadcast a notification message including coordinates of the dangerous object and information on the dangerous area, and smart glasses configured to display a grating of an adjacent dangerous area or an adjacent dangerous object in an augmented reality mode by using the coordinates of the dangerous object or the information on the dangerous area that are received.