Recent surveys by the WHO show that 50 million people are injured due to traffic accidents across the globe. This is primarily due to inattentive driving, unclear lane markings, poor visibility, and aggressive driving. These issues mentioned can be addressed by developing a smart device with advanced technology that avoids traffic accidents and secures drivers/passengers. This novel design utilizes ultra-high radio frequency identification that is fitted into road reflector studs, which function in a two-way system. The smart device consists of an RFID reader (ultra-high-frequency), an Arduino controller (ATmega328p), LEDs, cameras (OV7670), and a speed limiter, which create a safety network for the driver. Here, the RFID fitted into the reflector sends a signal to the nearby vehicle if the vehicle approaches the edge of the road, and the RFID scanner in the vehicle receives this signal, which alerts the driver using the Arduino controller, which decodes the signal and initiates the alert system so that the driver can get back into their lane. Also, the camera included in the smart device on the vehicle identifies barriers such as walking people, wildlife, and other harmful things in an effective manner through image classification with a deep learning method. This verifies whether the captured image is harmful to the vehicle or not. If the detected image is harmful, then it activates the speed controller present in the vehicle; thereby, the vehicle's speed will be controlled automatically. The proposed system is modeled and verified to have better results.