The founders of Verkada launched their company with the mission of modernizing and simplifying enterprise video security systems. By combining a hybrid cloud infrastructure that is easy to maintain with software that is constantly evolving, Verkada has been able to solve many of the pain points experienced by IT teams, security professionals and end users alike. Unlocking the potential of computer vision (CV) is the next key step to help organizations strengthen their safety and increase their operational productivity.

Recent years have seen major advances in computer vision, with artificial intelligence programs now able to recognize objects in the real world with astonishing accuracy. From automatically tagging images on Facebook to autonomous driving, computer vision is revolutionizing how we can apply computers to solve problems around us.

One of the less explored applications of computer vision is video security systems. Currently, many video security systems use technology that hasn’t developed much since the 1980s, leaving the devices intended to grant people security open to intrusion and exploitation. Applying artificial intelligence and deep learning techniques to video security systems can substantially improve the reliability and security of these systems. Deep learning architectures are able to adapt to new challenges to security by learning new patterns, making them highly robust and able to adapt to new security threats.

The Inner Workings of Machine Learning

Machine learning/deep learning systems operate by taking in some input data and applying mathematical functions to them that transform them into a desired output. Currently, artificial neural networks, sets of algorithms modeled after the human brain are the state-of-the-art in artificial intelligence. An artificial neural network connects together thousands of nodes/neurons, which each manipulate data with specified algorithms. By linking together many of these neurons, the network is able to distinguish the relevant patterns of information in the input data. It can then apply these patterns to new data it hasn't seen before and "recognize" the new data, hence the “learning” in machine learning.

This process is how a computer provided with images or video-which is just a series of image- can learn how to detect and localize objects within the images. If a video security system is fed training data consisting of suspicious persons or activities, it will learn to recognize these phenomena.

Upgrading Surveillance From Old Legacy Systems

In order for the video security systems to implement AI algorithms, they first must be updated and replaced from the outdated devices implemented throughout the 80s and 90s. Enterprises ready to keep pace with 21st century needs must replace their surveillance systems with devices capable of employing AI systems.

This is why it's so exciting to announce that Verkada has released numerous new features designed to enhance and expedite video monitoring tasks-- adding value to video surveillance across multiple industries. Verkada cameras offer these computer learning features, with more to come in the future:

  • People and vehicle counting

  • People and vehicle detection

  • Heatmapping

As the Verkada founders themselves explain, 

"People and Vehicle Detection enables users to receive notification alerts when motion related to human activity comes into the camera frame. This eliminates many false positives (from non-human activity) and also provides security professionals with actionable information, without requiring active monitoring. Additionally, to help accelerate incident resolution, the new features can identify playback event motion activity that includes cars or people. Over time, the system will collect and analyze visual and non-visual data, such as the level of activity within a space, which can then be used to indicate trends.

For retail and hospitality establishments, the People Counting functionality is especially useful in assessing how to staff properly during peak hours. It can also assist in determining ways to set up a location so that foot traffic flows smoothly. Additionally, the People Detection functionality allows users to quickly monitor restricted locations (like a stockroom after hours) to help prevent theft."

Enter now for your chance to win a free Verkada system and experience these benefits for yourself!