Abstract: Visual impairment can make pedestrian crossing quite the ordeal as the individuals cannot rely on their other senses to determine when it is safe to cross. Pedestrian lanes are visual indicators and sound is impeded by the noise of vehicles passing by.This paper aims to provide visually impaired individuals with data that is normally not available to them due to their disability. With modern advances in computer vision and small form factor electronics, the researchers were able to create a wearable piece of technology running Object detection and Face recognition technologies on a Raspberry Pi 4.Given the Raspberry Pi 4’s capabilities, the researchers were also able to add in extra safety modules such as GPS and Emergency SMS systems in the event that the user is in an accident. Test results show that the device was able to perform its core function within its intended parameters.Though the functions are still limited due to the available technology at the time, there are better components available, especially in an international level, that can greatly improve the final product such as a higher quality camera and a better suited power supply.