This paper proposed a method of combination of yolov8 and the ByteTracker method to count people or objects entering or exiting a certain area under certain conditions such as crossing an imaginary line using advanced one-stage object detection YOLOv8. It is assumed that each object is counted and rejected any irrelevant object. The counting method is implemented using a byte tracker in which every bounding box passes through the frame and enters in the frame in one way which detects the object and counts in and the counting the overall passing objects in the frame and the final total count is incremented due to entering the object. A bounding box that crosses a line in the opposite direction is considered an object going out and the total count should be decremented. The proposed method ensures that it has less computational overhead and that no objects are missed under the counting method by one-stage detection. Here, the accuracy of the bounding box of one-stage object detection demonstrates better detection and fewer false positives. This ensures that not only are all objects detected counted but also that no object present in the feed is missed.