Abstract:
Detecting various classes of objects and measuring the distance between
camera and objects are implemented in this system. The input of the system is an image
or video which are captured by the camera. YOLOv5 architecture is used to detect the
objects of input image and calculated the distance between camera and detected objects.
If the object is detected, the result will be shown with distance meter values. The major
objective of this system is to find the instances of each object in digital photos or real time videos predictions. In this system, the focal length value is employed to calculate
the distance between the camera and the object. The focal length is calculated using the
triangle formula utilizing the bounding box’s width and height parameters. YOLOv5
object detector provided the height and width values of bounding box. Object detection
is also useful in video surveillance and image retrieval systems. In the future, this
system can be upgraded as a part of the autonomous vehicles to move automatically in
real environment.
