Multi-camera surveillance software is designed to manage and display feeds from multiple cameras simultaneously. This is especially useful for complex environments like malls, airports, or campuses that require comprehensive surveillance. The software typically offers features like grid views, camera grouping, and the ability to focus on individual feeds when needed. Advanced versions may allow for seamless integration with various camera brands and types, offering flexibility and scalability for growing surveillance needs.

With cutting-edge AI technology, including real-time object detection and facial recognition, you can transform your computer into a powerful security system. Facial recognition and biometrics. 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 persons 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.