In Recent Years Appreciable Progress Has Been Made In The Field Of Face Recognition. Face Recognition System Is An Intelligent Application, Which Can Recognize Or Confirm A Man From Advanced Sources. Through The Work Of Computer Engineering Engineers, PCs Can Now Beat People In Many Face Recognition Assignments, Especially Those In Which Substantial Databases Of Human Faces Must Be Looked. The Easy Approach To Perceive Any Face Is By Making An Analogy With The Facial Components From The Input Picture (tested Image) In A Facial Database. A System With The Ability To Distinguish And Recognize Faces Has Numerous Potential Applications Including Crowd And Airport Surveillance, Private Security And Enhanced Human-computer Interaction. This Project Aims To Supersede Highly Priced Image Processing Boards By Putting To Use Raspberry Pi Board With ARMv7 Cortex-A7 As The Core Within Opencv Library. This Project Is Mainly Based On Image Processing By Porting The Opencv Library To The Raspberry Pi Board. The Ultimate Crucial Errand In Face Recognition Is How To Find The Most Identical Between The Tested And Training Faces.
