The growing vehicular traffic, particularly on blind curves with restricted visibility, necessitates effective road safety measures. This study develops a solar-powered road safety system to enhance road safety by providing accurate, reliable alerts to drivers about incoming vehicles around blind spots, thereby reducing the risk of accidents. Unlike existing systems that often trigger false alarms due to indiscriminate motion detection, this system employs two strategically positioned ultrasonic sensors integrated with Arduino Mega and Arduino Uno microcontrollers. These sensors are calibrated to detect vehicles traveling at speeds of 5 km/h or higher and differentiate relevant movements from irrelevant ones. The system’s effectiveness was validated through tests with motorcycles and cars, both before and after deployment. The tests confirmed the system’s ability to accurately detect vehicles while filtering out non-vehicle movements. Vehicles traveling at or above the threshold speed of 5 km/h were successfully detected, while those below this speed were not, demonstrating the system’s precision in identifying vehicles and avoiding false alarms. The study shows that the strategic placement of sensors and their integration with a robust microcontroller significantly enhance road safety on blind curves by providing timely alerts to drivers. This system represents a substantial improvement in road safety technology, offering more accurate and reliable warnings to prevent accidents.