iBuddy

Inspiration

What it does

The application is divided into two parts.

1. Image analysis using tactile interface
2. Gesture controlled directional image analysis

Workflow

• A user can interact with iBuddy using three buttons, Red, Green, and Yellow.
• The screen preview camera view and also shows the output of the analysis##### Use cases of buttons
• Yellow Button: Click a picture of the camera view
• Red Button: Answer No
• Green Button: Answer Yes

Tactile Interface for human face analysis

• User clicks a picture of image with a human face, using Yellow Button.
• The image is being sent to Azure Face API and we get the overall analysis in the returned json.
• User can listen to overall description of the image, and also see on the screen.
• iBuddy will then ask the user if he/she wants to know the emotion detected in the image.
• User can answer Yes/No using Green & Red Button.
• iBuddy will prompt the response accordingly.

Description: A man looking at camera
Emotion: disgusted
Text: 
----------------------

Tactile Interface for OCR

• User clicks a picture of image with using Yellow Button.
• The image is being sent to Azure Face API and we get the overall analysis in the returned json.
• User can listen to overall description of the image, and also see on the screen.
• iBuddy will then ask the user if he/she wants to know the text recognised in the image.
• User can answer Yes/No using Green & Red Button.
• iBuddy will prompt the response accordingly.

Description: white board with black text
Text: NOTICE NO EATING OR DRINKING IN THIS AREA
----------------------

Gesture Recognition

• The user can point to any of the four parts of the image and make a small circle with a finger pointed in that direction.
• Leap detects the gesture and iBuddy crops the image in that part
• That part of the image is sent for analysis and appropriate results are returned.

Gesture Recognition

How we built it

Technologies used

• Python
• Leap Motion
• Raspberry-pi
• Azure
• Natural Language Processing
• Computer Vision
• Ngrok
• Socket programming
• Python text-to-speech

Challenges we ran into

• Setting up R-pi
• Integrating leap motion

Accomplishments that we are proud of

• Working product
• Successful gesture controlled directional analysis
• Low latency
• Good Accuracy

What's next for iBuddy

• 360-degree image analysis
• Live video stream analysis
• Better physical device and integration

GitHub

Built With

• azure
• computer-vision
• espeak
• leap-motion
• natural-language-processing
• python
• raspberry-pi