Automated traffic monitoring is an essential system in our daily life offering numerous benefits. It helps drivers stay aware of their speed, reducing the risk of accidents and saving lives, while also aiding law enforcement in effectively regulating traffic. The goal of this research aims to compare the evaluation of the car detection while estimating the speed of both Haar Cascade and Yolov8 methods. Experimental results demonstrated that our proposed one outperformed with the accuracy MAE is about 0.77, along with the precision 93% (96.7% for actual car detection) in the same testing data, in contrast Haar Cascade is just around 62% (67.3% for actual detection), MAE at 4.27.