Smog is regarded as a dangerous situation for vehicles as the visibility of human fails and a person cannot drive smoothly and safely which can lead to severe accidents and routine disturbances. Hence, “Anti-Smog Radar Application for Vehicles” is proposed using Internet of Things technology which ensures the smooth flow of vehicles in smog and prevents accidents in time and cost-efficient manner by detecting and displaying the front objects with their important information (distance, position, velocity and size) on smart phone used by authenticated drivers. The radar application controls the hardware system to be deployed on vehicles through which the user can start, stop and set the hardware in particular direction. The hardware contains NodeMcu (Microcontroller with built-in Wi-Fi), Ultrasonic sensor and servo motor. The servo is used to detect the position of front objects and ultrasonic sensor is clipped on servo to detect the objects. For alerts, the objects are drawn with different colors on application i.e. the red colored objects will be near to the vehicle, the yellow colored objects will be at some distance from the vehicle and the green colored objects will be far from the vehicle. Kalman algorithm is used to filter the ultrasonic readings to eliminate the noise. The proposed system can work in every condition i.e. in day and night.