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Cattle farming is a vital part of the agricultural industry. However, one of the challenges that farmers face is the difficulty in monitoring their cattle and preventing them from wandering outside the designated area. This project aims to address this problem by developing a cattle detection system using IR sensors and a NodeMCU board. The system consists of three IR sensors placed at the entrances to a field, which detect when a cattle enters the field. The sensor data is sent to a NodeMCU board, which is programmed to generate alerts over the internet using a Blynk server. The alerts can be received on a smartphone, or any device connected to the internet. Additionally, a buzzer is used to generate sound alerts for people in the vicinity of the field. The project involves the use of the Arduino IDE to write the code for the system and the installation of the sensors, NodeMCU board, and buzzer at the entrances to the field. The sensors are connected to the NodeMCU board, which processes the data and sends it to the Blynk server. The Blynk app is used to configure the alerts and receive notifications. The system is intended to help farmers monitor the movement of their cattle and prevent them from wandering outside the designated area. It can also be expanded to include additional features such as camera feeds and data logging. With this system, farmers can receive alerts in real-time and respond quickly to any issues that arise. It can help reduce the workload of farmers and improve the overall efficiency of the cattle farming industry. In conclusion, the cattle detection system developed in this project provides an innovative solution to the problem of monitoring cattle in a field. It combines the use of IR sensors, a NodeMCU board, and a Blynk server to provide real-time alerts and sound alerts for people in the vicinity of the field. This project can be useful for farmers, agricultural companies, and anyone involved in the cattle farming industry.