Smart-Device-for_BlindPeople

A smart device for blind people which can recognize the object and people can listen that in their earphone using text to speech, along with that if person fall then a fall detection with person’s location will be appear at local webpage.

Hardware components

• Raspberry Pi 3 B+
• Sense Hat
• Adafruit ultimate GPS with USB to UART( -165 dBm ,MTK3339)
• USB WebCam

Software

• VNC Server (Linux) with RPi 3 B+
• Python Programming for GPS location and Fall detection
• OpenCV 3.0.0 and Python for Object detection using pre trained MobileNet SSD Neural Network with ~0.9 fps using Pi but using laptop it can be 10-15 fps pyttsx3 library for text to speech.
• Python and HTML programming for local Webpage using client and server
• For Website you can go with firebase database and make android application or you can use any open source cloud.