Due to the fact of enhanced development of technology, the development of face recognition technology and graphics has been used in a variety of locations including entry security systems, advertising systems and parking license plate recognition systems etc. Despite this, this technology is yet to be widespread or have an in-depth application in the banking system. It is important to have face detection to track and find criminals. In this paper, face detection technology is used in the banking system to make analysis and discussion for crime prevention. It has been suggested to use Raspberry Pi face detection technology to be placed in Automatic Teller Machines (ATM) to “scan the face” instead of withdrawing from financial cards (non-card withdrawal). This is an early preventive mechanism which will replace the traditional post-investigation of fraud. By doing this, criminals are less likely to use ATMs for their own interests, there will be fewer perpetrators and ultimately, criminals will be apprehensive to use ATMs as a tool for withdrawal.

資料來源:http://handle.ncl.edu.tw/11296/ndltd/14459111587198737807