Visual impairment has had a significant impact on people and the world. Due to their more sensitive audible range and touch, Sensory Replacement Devices (SRDs), which convert visual information to audio or touch, are an accessible choice for those who are blind or visually impaired to improve their quality of life, employment opportunities, and education. Using scene-perception-based deep learning, we presented a spectacle with provision of vision-to-audio transfer system in this study to help visually impaired persons recognise and find familiar substances in their location. The scheme comprises of a Bluetooth voice feedback unit with a microphone, a wireless camera unit, and a mobile application running customised software. The camera element collects imageries from the environment then transfer them to an mobile software application. People with blindness who use the programme may get spoken instructions and audio aid thanks to the Bluetooth voice feedback unit. The audio voice recognition and object identification replicas are loaded by the Android-based application. It has been discovered that using this technique may help people with limited eyesight locate and identify objects. With this system one can also take the medicine in which they are using daily.