 The proposed method uses a local binary pattern histogram and hard cascade classifier to recognize multiple faces from a single image. It achieves high accuracy rates when tested against both local and real time streaming data. This method outperforms other methods in terms of recognition rate, making it suitable for applications such as surveillance or biometric authentication. This article was offered by Ari Solis-Nanto, Aidean Rakhim, Dania Aridani, and others.