Real-time object detection and face recognition system to assist the visually impaired
Anish Aralikatti, Jayanth Appalla, S Kushal, Gondhi Naveen, S. Lokesh, B S Jayasri
Abstract
Abstract The application system presented here is for use in an Android based mobile phone by the visually impaired for detecting objects in their vicinity, which will help them move around safely, without crashing into objects. The detection of objects is done from a real time video taken from the mobile phone camera. People and objects are detected from this video using OpenCV, YOLO and FaceNet. If a human is detected, the system identifies the person. His identity will then be converted into audio and presented to the user. Similarly, objects detected in the vicinity will be presented in audio format to the user.
Topics & Concepts
Computer scienceMobile phoneComputer visionAndroid (operating system)Visually impairedArtificial intelligenceFace detectionFacial recognition systemComputer graphics (images)Human–computer interactionFeature extractionTelecommunicationsOperating systemVideo Surveillance and Tracking MethodsTactile and Sensory InteractionsAdvanced Neural Network Applications