The Vision

Project Title

The Vision

Project Area of Specialization Internet of ThingsProject Summary

The Vision, a  glasses mounted with camera and sensors use artificial intelligence to extract information from images, enabling users to ‘see’ the world around them through the spoken word.

The Glasses will be able to recognize text and scripts in English languages describe surroundings, detect colors, and read short pieces of text, such as public transport information.

Our desire is to empower blind and visually impaired people with greater independence and access to the visual world, including things many of us take for granted, like reading text from a book, newspaper, magazine, computer, tablet or smartphone screen, perusing a product label, opening and reading a handwritten card or letter from a loved one, or running a business meeting without the need for assistance.

Project Objectives

• Raspberry Configuration with Sensors
• Wireless Adapter
• Cameras
• Mic
• Speaker
• Real Time Data from Sensors for processing
• Raspberry Pi Zero W for hardware setup (C/C++)
• A utility software on phone to handle and process the data and speak out the result to user via headset. (Flutter Dart)

Project Implementation Method

Functionalities:

• Raspberry Pi Configuration with Sensors
• Real Time Data from Sensor to Raspberry Pi
• Data Transfer from Raspberry to Mobile App and vice versa
• Native Mobile Application to process images from api’s
• Read out Result from Raspberry to headphones

Benefits of the Project

The Vision will help those people out there where normal people don’t really care about them. They mock them by being special person. So in order to encounter that issue the Vision will give them an edge to survive in this world hence playing role towards better, smart and healthy life for people.

Technical Details of Final Deliverable Use Case:

Flow Chart:

Required skills/ Technologies (software, hardware) Software

1. Tools
   1. Raspberry Pi Zero W
   2. Android Studio
2. Software Languages
   C/C++, Flutter, Java
3. Data Handling
   1. TensorFlow Api
   2. Google Vision Api
4. Platform
   1. Geany, Android

Hardware

1. Raspberry Pi Zero W, Android
2. Sony IMX 219 PQ CMOS image sensor
3. Ultrasonic Sensor HC-SR04
4. Headphones
5. Pisugar 1200 mAh Lithium Battery
6. Smart phone

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Medical , Health Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI), Wearables and ImplantablesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	26250
Raspberry Pi Zero W	Equipment	1	14000	14000
Raspberry Pi V2 Official 8 Megapixel HD Camera Board With IMX219 PQ CM	Equipment	1	5000	5000
Pisugar Portable 1200 mAh Lithium Battery Power Module für Raspberry P	Equipment	1	5000	5000
HC-SR04 Ultrasonic Sensor Module	Equipment	2	250	500
47 Ohm Resistors 1/4 Watt (47 ? 0.25 W)	Equipment	12	125	1500
Headphones	Equipment	1	250	250