A New Approach for Real-Time Camera-Object Distance Measurement Through Computer Vision

Accurately determining the distance between a camera and an object is of paramount importance in a multitude of computer vision applications, such as those found in robotics and industrial automation. This article highlights a revolutionary method that allows real-time distance measurements between a camera and an object, taking advantage of advances in computer vision. This method offers an innovative solution to solve this complex challenge and opens up exciting new perspectives in the field of distance measurement. With the developed algorithm built into the smart camera, it is possible to perform two-dimensional distance measurements between the point of the camera lens and an object. This object can be a 2D label stuck on an exterior surface of a 3D object. This feature allows you to determine the precise distance and even when this object has complex three-dimensional shapes. As an object moves through space, the camera can make real-time measurements to determine its speed. The method employed relies on image processing using the Python programming language, using the powerful OpenCV library, running on the Raspberry Pi board. This approach combines visual computing with the flexibility and computing power to achieve our goals. The results obtained are very effective compared to measuring the distance carried out manually with a meter. The instrument for measuring the distance and speed of an object in space that we used has proven to be extremely precise and efficient compared to the traditional method, which requires the use of a tape measure or other means of measurement. This improvement in efficiency can provide significant benefits, both in terms of accuracy and speed, across a wide range of applications.