Voice Guided Object Detection: A Comprehensive Survey

Object detection with voice guidance is an emerging domain which integrates the computer vision, human computer interaction and NLP. This can enable to scan the surrounding, interpret the objects and inform to the users through voice command. This system provides assistance to the blind and visually impaired person for navigating on the road or within indoor environment. It also used in the variety of applications including robotics, autonomous vehicle driving, context aware computing, etc. There are few challenges that need to be address including context understanding, real time processing of the surrounding data and object identifications from variety of domains. This paper provides detail review of the various techniques used for the object detection and voice guidance. It reviews various techniques based on the DL, speech to vision modelling, fusion of multimodal data, etc. The various challenges have been identified related to generalization, noise reduction, etc. for design and development of the robust system for voice guided object detection.