computer vision license plate recognition
How does number plate recognition work? What details does ANPR show?

Facial recognition and biometric scanning systems also use computer vision technology to identify individuals for security purposes. The most common example of computer vision in facial recognition is for securing smartphones. More advanced uses of facial recognition and biometrics include in residential or business security systems that use unique physiological features of individuals to verify their identity. Deep learning algorithms can identify the unique patterns in a person’s fingerprints and use it to control access to high-security areas such as high-confidentiality workplaces, such as nuclear powerplants, research labs, and bank vaults.

Robotics applications using robots operated by Machine Vision algorithms can be found in many activity fields. Here is where RSIP Vision can take your robot.
OpenALPR is an open source Automatic License Plate Recognition library written in C++ with bindings in C#, Java, Node.js, Go, and Python. The library