How To Secure Critical Assets With Video Analytics

By Paul Sun, President and CEO of IronYun

In today’s world of technology, businesses rely heavily on their critical assets to stay afloat. However, it is not always easy to keep track of these important items. With advanced video analytics, however, you will have a better idea of who is accessing your most valuable materials and what they are doing with them. 

More than this, video analytics can also be used for security purposes by identifying any intrusions or unwanted visitors before they escalate the situation. 

Read on to find out how you can secure your important business assets with the right video analytics integrations.

What is Video Analytics?

Video Analytics is a technology that can be used to record and analyze video footage to identify suspicious activity and improve a business’s security. This means that you can use video analytics to detect intruders before they have the chance to cause any damage or steal important information, as well as monitor employees’ behavior on your premises to ensure that they are following company rules and regulations.

Since the introduction of video analytics, advancements in the video surveillance industry have been a game-changer, ranging from real-time high-resolution intelligent video surveillance and motion detection to automated license plate recognition and other more common scenarios such as facial recognition smart parking.

The Benefits of Using Advanced Video Analytics for Video Surveillance

There are many benefits to using video analytics for your business. One of the most important of these is that it can help you improve security and provide a new level of convenience at the same time and increase productivity levels by keeping track of how employees behave while they’re at work.

 As a bonus, advanced video surveillance software also helps boost employee morale because they know that their employer cares about them and wants to keep them safe and secure, especially when they are on-site.

  • Video Analytics software helps protect both people and property by keeping a record of the persons entering and leaving your business.
  • Video Analytics software can also be used to keep track of who accessed specific items, when they had done so, and for how long.
  • Video Analytics software may also be connected to other systems such as surveillance cameras, card access control systems, or even fire alarms.
  • AI-powered video analytics software can be used to build critical infrastructure security for your business.
  • Advanced video surveillance also helps identify threats in security without adding security personnel.
  • It can help improve client satisfaction by reducing service times while increasing visual communication between staff members who are working in different locations at once
  • Avoid false alarms and speed up your response time through alerts based on accurate and reliable motion detection sensors.

How to Use a Video Analytics Software for Securing Business Assets?

There are a few different ways to use video analytics software to secure your business assets, and here, we will be discussing them one by one.

1. Setting up your software with an access control system integration

One of the most common is using it as part of an access control system integration. This allows you to keep track of who is entering and leaving any location through the use of smart cards, proximity fobs, or biometrics such as fingerprints.

This method also helps reduce false alarms, which are often associated with an access control system integration due to its multi-faceted approach differentiating between authorized personnel and visitors.

Another benefit of using video analytics for this purpose is that you can use it to manage entry and exit logs and organize these data sets in a more efficient manner.

2. Utilizing camera-based analytics

Another way to use video analytics for securing your business’s assets is by utilizing camera-based analytics.

This method allows you to build a library of images that can be used in the future when building an incident response workflow, and it also helps reduce false alarms, as we discussed above, due to its ability to differentiate between authorized visitors and intruders, as well as its ability to determine between moving objects and human movements.

Camera-based analytics also allows you to have more image processing capability in today’s high-definition cameras. Additionally, today’s 4K cameras, with enhanced image processing and big memory arrays, are equipped with embedded video analytics. The camera’s field of vision is also improved because of its ability to focus and zoom in on objects and activities. Moreover, the high resolution allows for an in-depth analysis of the scene or the object under study.

3. Crowd Management Monitoring

Crowd management monitoring allows you to set up a virtual fence or boundary that can be used as an exclusion zone for unauthorized personnel, vehicles, and more. Additionally, it will also enable you to monitor the number of people who are inside any given location at any point in time.

What’s more, is that you can have access to past recording and historical data, and you can even set up alerts that can be sent to the right staff members in case a certain threshold is reached.

One of the main benefits of this security measure is that video content analysis systems may be trained to recognize specific events, and in some cases, with a high degree of accuracy such as cameras that can do facial recognition, fire detection, and more.

4. Enabling AI Integration

Deployment of AI integration with video analytics can help you build security systems with an impeccable degree of intelligence and the ability to make decisions based on the results of a camera-based analysis. Furthermore, it allows for a multi-layer surveillance approach built around rules, policies, behaviors, events, activities, or patterns to provide 360 degrees of monitoring capability.

5. Implementing a Risk-Based Approach

A risk-based approach is also possible with video analytics which will allow you to have more control over your security efforts by focusing on high priority areas and critical assets. The system can branch out as it executes an event-based workflow that prioritizes all activities according to their requirements for immediate response.

What this means is that you can do more with less when it comes to your security budget because the system will be handling all of the events in your location or facility but only if they are deemed critical by the rules, policies, behaviors, or activities that were set up beforehand. It scales dynamically and reduces unwanted alarms.

How Do I Know Which Type Of Video Analytics Solution Fits My Situation?

There are many types of advanced analytics available, but not all may fit your needs. Knowing what you want out of your security features and what kind of level of protection you need will help guide your decision to choose the best solution for your unique requirements.

For instance, retail businesses that want to increase their security against theft can employ advanced analytics to recognize faces or track specific objects. The analytics would be able to determine when a person is entering with the intent of stealing, which will allow your security personnel to act accordingly.


Lastly, it is important to note that the use of video analytics for securing your business’s assets does not require massive data storage, nor is there any need for you to install additional servers to support these technologies; most modern-day software solutions are cloud-based and do not require much processing power or memory at all which is why they are so scalable and cost-effective.

These are just some of the different ways that video analytics can be used for securing critical assets and valuable objects in your business. Implementing video analytics is a smart investment, allowing you to save time and money while keeping your business safe and secure.

Paul Sun is a seasoned technology executive and serial entrepreneur with multiple successes in venture capital-funded companies. Paul was involved in AI research at the fifth-generation computer research consortium MCC in the early 80s. Currently, he is the President and CEO of IronYun, a video search, and mining company.

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