Navigation using Object Detection and Depth Sensing for Blind People
- Resource Type
- Conference
- Authors
- Malkan, Smit; Dsouza, Sampras; Dasmohapatra, Soumyaprakash; Jain, Manav; Joshi, Abhijit
- Source
- 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) Computing, Power and Communication Technologies (GUCON), 2021 IEEE 4th International Conference on. :1-7 Sep, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Navigation
Text recognition
Face recognition
Blindness
Object detection
Reflection
Sensors
Depth Sensing
Optical Character Recognition
Object Detection
Face Recognition
Text Detection
- Language
The main aim of our project is to develop a system that assists a visually impaired person in all ways possible. Existing aids consist mainly of guard dogs which are very costly to purchase and canes that are not feasible to be used in all possible conditions(Eg: Outdoor Navigation). We make use of the computing power of the raspberry pi to develop a portable system that assists a visually impaired person in all possible situations. Our system is implemented on a Raspberry Pi 3 model having a single Pi camera unit. The system consists of three main modules, first is the navigation module that is equipped with a depth-sensing technique that can be used by the user for outdoor navigation. Second, is the face and object detection module that can be used by the user to recognize various objects and faces in front of him. Third, is the text recognition facility can be used by the user to read the text. All the communication between the system and the user takes place with the help of the microphone that is connected to the 3.5mm audio port of the raspberry pi.