Summary Augmented Reality: A technology that superimposes a computer-generated image on a user's view of the real world, thus providing a composite view. This novel technique helps to prevent the electrical assets before any catastrophe would happen in the futur
Augmented Reality based training and fault monitoring system for machines
Summary
Augmented Reality:
A technology that superimposes a computer-generated image on a user's view of the real world, thus providing a composite view.
This novel technique helps to prevent the electrical assets before any catastrophe would happen in the future. The color based segmentation technique is used to blotch hot regions in the thermograms of electrical systems. A redness area based algorithm is also pro-posed to analyze the hot regions and also to estimate rate of change of hotness in electrical assets for early detection and prediction of faults. We have two parts in our project;
Training of new employee or internee.
Fault detection
To prevent machine failure, condition monitoring and fault detection are required.
Augmented reality-based technique is used for fault detection and condition monitoring.
IR thermograph technology is used for fault detection.
This consists of five steps;
Image extraction ,
Region of interest extraction,
Feature extraction,
Feature fusion
Classification
This solution is cost efficient. Because AR glasses are use and due its noncontact and nondestructive features.
Objectives:
To detect machines and parts of machines using Image processing and Display on AR glasses for easy understanding and training .
To get thermograms and process them for early fault detection in machines and parts of machines.
Display the thermograms on AR glasses to identify the fault.
Training every New Employee / Internee without requiring the full-time of a trainer (highly experienced employee)
Fault detection in Industrial Electrical Machines without a complete network of a huge number of sensors (which are themselves prone to faults).


Benefits:
Benefits:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Thermal camera | Equipment | 1 | 10000 | 10000 |
| Raspberry pi 4 Model B 1GB | Equipment | 1 | 9500 | 9500 |
| AR Glasses | Equipment | 1 | 50000 | 50000 |
| Printings | Miscellaneous | 5 | 500 | 2500 |
| Total in (Rs) | 72000 |
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