The main purpose of Computer Vision is to reproduce human vision.
It has a wide application in the civil and military fields e.g. for environmental monitoring.
It stands out in different varieties of the problem:
• Recognition
• Identification
• Detection
Doing the various tests and deepening the topic on the OpenCV, this library can be very useful also for road safety for example.
Today the automotive sector is having a strong impact with autonomous driving and for this the Computer Vision becomes fundamental not only for the driver but also for pedestrians incolumity, in the face of any obstacle while driving, preventing possible accidents by automatically activating the brakes for example.
About biometrics as a security tool for accesses into reserved areas with perimeter protection, it can affect privacy with the current computer vision and AI algorithms able to diagnose potential diseases, e.g. liver problems through eye analysis, or skin cancer.
Remaining on the topic of the thesis, to avoid false positive intrusions, it was reasoned that using the alarm in the case of a face detection is the simplest solution.
But if somebody presents with a mask in front of webcam, the facial recognition algorithm struggles a little to identify the features of the faces, so in our opinion for the initial purpose of monitoring our Laptop during working hours, the preference of the algorithm to use has simply fallen on the simplest motion detection.