Unmanned Aerial Vehicles (UAVs) have become essential in various industries, and enhancing their autonomy and safety during flight operations is crucial. The goal of this research focuses on developing a quadcopter with efficient obstacle detection and collision avoidance capabilities using ultrasonic sensors, an Arduino microcontroller, and a Node MCU ESP8266. For efficient processing and wireless communication, the incorporation of these technologies aims to enhance the quadcopter autonomy and safety during flight operations. The methodology involves integrating these components to create a functional system capable of detecting obstacles in the UAV’s flight path. Quadcopter with X configuration is used since it’s more maneuverable and agile, making them suitable for surveillance. The results include the successful design of a system model with four ultrasonic sensors positioned in all four directions around the quadcopter for comprehensive obstacle detection. Quadcopters auto stability with the GYRO sensor used along with Arduino Uno had 85% of accuracy. During flight tests, the UAV demonstrated its ability to avoid obstacles in all four primary directions of detection, even when they were located at a close distance. The results of these tests were successful.