The industrial setting demands high-quality, safe, and contactless control measures of vehicle access at the entrance points. Traditional approaches used in manual verification, RFID cards and physical access buttons tend to be characterized by delays in operations, insecurity and high reliance on human supervision. This paper introduces a Contactless IoT-Based Smart Doorbell and Vehicle Number Plate Detection System that aims at automating the industrial gate access with the help of the computer vision and wireless communication technologies. The suggested system will use the camera module to take pictures of vehicles when they arrive at the gate without physical contact with the module. An image-number plate detection and recognition algorithm which is based on machine learning is applied to the received picture and compares the identified number with the previously registered car database. In case of approved vehicles, the processing unit sends an access command to an ESP32 microcontroller over the UDP communication protocol, which allows automation of servo motors in a gate. Real-time visual feedback is also available in the system with the use of LCD display. When it comes to the unauthorized vehicles, its access is denied, and an image of the vehicle is automatically forwarded to the authorized personnel through email alerts to perform security control. The solution that has been proposed will improve security, minimize manpower needs, keep records of digital access and facilitate scalable implementation in the industrial settings. As a result of experimental observations it has been proven that the system is offering efficient, reliable and contactless vehicle access control that fits in modern smart industry.