Recognizing the limitations of existing apps designed for crosswalks, this research focuses on developing an innovative solution—a mobile app that utilizes computer vision to detect moving cars on the road and alerts users through vibrations about the safety of crossing. The rationale behind this project stems from the increasing population of legally blind individuals and the need for independent street navigation. Though a comprehensive application would be ideal, the ultimate goal of this project is to contribute valuable insights into the feasibility and benefits of such technology, paving the way for future advancements in assisting visually impaired individuals in crossing residential roads safely. This will be done by testing an object detection model in different scenarios, analyzing successful detections and detection failures. If successful, this research could inspire further development by companies that tackle the problems outlined in my study, offering a valuable tool for the visually impaired community.