Augmented Reality based training and fault monitoring system for machines

Project Title

Augmented Reality based training and fault monitoring system for machines

Project Area of Specialization Augmented and Virtual RealityProject Summary

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.

Project Objectives

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).

Project Implementation Method

Benefits of the Project

Benefits:

• When an internee or worker go to industry mostly he/she won’t be able to learn because of less availability of staff. Now it can be best that if trainee goes and wear AR glasses and learns all parts and machines by just seeing any machine.
• Fault detection in machines usually involves many devices, sensers and there are connection problems too. These sub devices also need maintenance.
• Fault detection in Industrial Electrical Machines without a complete network of a huge number of sensors (which are themselves prone to faults).
• Contactless (non-invasive) Early Fault Detection and Monitoring in Naturally convenient manner
• Now we need it is technique which can detect fault using only single device without having any connection to machine(non-invasive).

  Benefits:

• When an internee or worker go to industry mostly he/she won’t be able to learn because of less availability of staff. Now it can be best that if trainee goes and wear AR glasses and learns all parts and machines by just seeing any machine.
• Fault detection in machines usually involves many devices, sensers and there are connection problems too. These sub devices also need maintenance.
• Fault detection in Industrial Electrical Machines without a complete network of a huge number of sensors (which are themselves prone to faults).
• Contactless (non-invasive) Early Fault Detection and Monitoring in Naturally convenient manner
• Now we need it is technique which can detect fault using only single device without having any connection to machine(non-invasive).

Technical Details of Final Deliverable

• Contactless (non-invasive) Early Fault Detection and Monitoring in Naturally convenient manner
• Now we need it is technique which can detect fault using only single device without having any connection to machine(non-invasive).
• It can be best that if trainee goes and wear AR glasses and learns all parts and machines by just seeing any machine.

Final Deliverable of the Project HW/SW integrated systemCore Industry OthersOther IndustriesCore Technology Augmented & Virtual RealityOther TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	72000
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