The Effectiveness Of OpenCV Based Face Detection In Low-Light Environments

A face detection experiment based on OpenCV is a technology used to identify and find human faces in digital images or videos. This uses algorithms image processing techniques analyze the pixels an video frame determine if they contain face. The aim of this research effectiveness OpenCV-based using Viola-Jones algorithm with low-intensity brightness environmental conditions. was conducted light intensity levels 10 Lux, 30 50 Lux carried out camera ASUS TUF DASH 15 FX517ZC laptop. Data evaluation metrics containing formula recall, precision, F-Score, accuracy. results study showed that experiments higher intensities up best level efficiency according accuracy values (99.2%), f-score(0.996), recall (0.993), so system done Lux. Face affected by used, addition, rotation important for detect faces, despite recording high environments