EYE TRACKING BASED SMART ROOM AUTOMATION SYSTEM

The problems faces by the paralyzed/stroke patient that they haven?t living standards like normal people. We came up with a solution ?Eye tracking based smart room automation?. Through this the disable person may get independent to control his room. The system is especially for those who even can?t

2025-06-28 16:32:30 - Adil Khan

Project Title

EYE TRACKING BASED SMART ROOM AUTOMATION SYSTEM

Project Area of Specialization Internet of ThingsProject Summary

The problems faces by the paralyzed/stroke patient that they haven’t living standards like normal people. We came up with a solution “Eye tracking based smart room automation”. Through this the disable person may get independent to control his room. The system is especially for those who even can’t speak or move their body properly like after brain stroke and having tetraplegia. The system is just required the eye signals from the disabled person using computer vision, the smart room automation with microcontroller utilizing voice assistant and it is wrapped up by IOT based camera device into an android application. This project is proposed under the vision of enhancement of living standards. Implementation of it can reduce cost of a 24/7 caretaker to some extent  i.e in homes and hospitals. 

The proposed project will make the daily basic operations easy to do for paralysed/stroke patients like controlling room appliances switch on/off the fan and lights and other room appliances like split, television and even blinds automatically. It can also increasing or decreasing the speed of fan and also lock the room by using the feature of smart locking. Through the application the patient can generate an emergency call to his care taker like for food and any other problem. The application can be customized in a sense that we may change or enter the new appliances into the system.

The problems faces by the paralyzed/stroke patient that they haven’t living standards like normal people. We came up with a solution “Eye tracking based smart room automation”. Through this the disable person may get independent to control his room. The system is especially for those who even can’t speak or move their body properly like after brain stroke and having tetraplegia. The system is just required the eye signals from the disabled person using computer vision, the smart room automation with microcontroller utilizing voice assistant and it is wrapped up by IOT based camera device into an android application. This project is proposed under the vision of enhancement of living standards. Implementation of it can reduce cost of a 24/7 caretaker to some extent  i.e in homes and hospitals. 

Project Objectives Project Implementation Method Benefits of the Project

The proposed project will make the daily basic operations easy to do for paralysed/stroke patients like controlling room appliances switch on/off the fan and lights and other room appliances like split, television and even blinds automatically. It can also increasing or decreasing the speed of fan and also lock the room by using the feature of smart locking. Through the application the patient can generate an emergency call to his care taker like for food and any other problem. The application can be customized in a sense that we may change or enter the new appliances into the system.  The limitation of the system is that we can’t increase or decrease the temperature of split or can’t change the setting of any appliances. User can only give eye signals of the direction of appliances to the programed location of the appliances in the system as we have 4 eye positions up, down, right and left and if the appliances are more than four so they may stacked on same positions. 
 

Technical Details of Final Deliverable

We will start this project with open cv,python and dlib that track the eye motion and count its blink using facial landmarks . Now the design a voice assistant using python and deploye it into the raspberry pi and at last we will design android application using android studio by using java.
The setup of eye tracking unit located  6 inches above the users head and approximately 18 inches to 24 inches away from the user's eye. Eye commands tracking implemented by using digital image processing after this microprocessor received those as an input and process it by applying ‘kazemi algorithm’ from Dlib and by using signal processing control the room smartly by the help of voice assistant. State of the appliances set by android application by the caretaker and stored them in system database. The application also generate the notification alert  to caretaker device. Database also maintain a log of assistant details.

Final Deliverable of the Project HW/SW integrated systemCore Industry OthersOther IndustriesCore Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Reduced InequalityRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 45400
Raspberry Pi Equipment3950028500
Wifi Module Equipment114001400
Bluetooth Module Equipment110001000
camera Equipment150005000
8 channel Relay Equipment110001000
speaker Equipment210002000
Pi essentials Miscellaneous 125002500
Appliances Miscellaneous 140004000

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