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The Ultimate AI Based Video Analytics Guide

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Discover all that you can do with commercial AI based video analytics.

Artificial Intelligence is emerging as a valuable solution for enhancing various business processes, including security management. In fact, the market for AI in security systems is expected to reach a value of $60.24 billion by 2029, demonstrating a growing need for intelligent solutions.

As experts in industrial and office space technology, Infassure assists businesses of all sizes with the selection, implementation, and maintenance of security technologies and AI-powered cameras. Today, we’ll walk you through everything you need to know about AI video analytics software and solutions, and the benefits these tools can bring to your organization. 

What is AI-Based Video Analytics?

AI-Based video analytics combines cutting-edge security solutions, such as cameras, with artificial intelligence algorithms. The technology transforms standard security cameras into proactive, dynamic solutions that assist companies with risk mitigation and building management.

Through intelligent video analytics solutions, companies can use deep learning, machine learning, and computer vision to enhance everything from intrusion detection to risk monitoring. Not only do AI camera systems and AI video analysis tools provide organizations with comprehensive visibility into potential threats, but they can enhance team productivity and efficiency too.

AI-based advanced analytics tools can extend the capabilities of traditional video solutions, automating repetitive tasks (such as video analysis), and providing real-time insights into threats. With artificial intelligence, cameras can observe data, categorize, and identify objects, and rapidly notify team members when threats emerge. 

How do AI Video Analytics Solutions Work?

The exact functionality of AI video analytics solutions will vary depending on the specific tools implemented by an organization. Some solutions are specifically designed for certain industries, such as healthcare or hospitality. Others integrate with a range of other tools, such as access control systems. Where traditional video analytics systems are rule-based and dependent on predefined algorithms to assess and understand risks, AI solutions are more flexible.

They leverage deep learning and machine learning for intelligent video analysis, learning from vast amounts of video footage over time. In many cases, an AI video analytics system will process video streams through neural networks trained on various datasets. 

They’ll then use built-in AI tools to identify risks and alert relevant team members, implement security processes, and reduce false alarms. 

How Does AI Video Analytics Work in Building Security Systems?

Implemented into full building security systems, AI video analytics solutions utilize their advanced algorithms and machine learning technologies to enhance threat detection and surveillance. They analyze video feeds in real time to detect predefined behaviors and objects, enabling proactive security strategies. 

The AI algorithms in video analysis solutions process and interpret visual data, differentiating between various patterns, shapes, objects, and behaviors based on deep learning training modules. They can identify people, vehicles, and items of interest, as well as behaviors that deviate from the norm in an organization. Because these solutions process data in real time, they allow for the rapid detection and immediate mitigation of threats as they arise. 

Over time, the machine learning algorithms built into AI video analytics systems allow the solutions to consistently improve their detection capabilities. What’s more, when integrated with surveillance cameras and data processing systems, these tools can enable consistent monitoring, as well as access to valuable security data. 

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Key Features and Capabilities of AI Video Analytics

Though the capabilities of your AI-based video analytics solution will vary depending on your use cases and security systems, these tools can lend themselves to a range of use cases. Some of the most common capabilities of AI video analytics solutions include:

Object Detection and Recognition

AI-powered security systems leveraging AI security cameras and analytical tools can identify and track a range of objects, such as people, vehicles, and items of interest within a specific area. Using neural networks and machine learning algorithms, AI surveillance tools can assess video feeds in real time, providing comprehensive visibility into everything happening in an environment.

For instance, with AI video analytics, companies can set up comprehensive eagle eye networks for corporate buildings. These networks allow them to clearly identify authorized and unauthorized individuals in restricted areas, allowing for comprehensive access control. They can also track the movement of specific objects, such as high-value merchandise or equipment. 

In parking areas, AI video tools can even monitor vehicle movements, identify cars parked in unauthorized zones, and monitor license plates. 

Behavior Analysis and Anomaly Detection

Using neural networks, machine learning, and edge AI, intelligent video analytics systems can analyze human behavior patterns and differentiate between “normal” and “suspicious” activity. They learn normal behavior patterns in a specific environment over time, and can then rapidly identify deviations that may lead to safety hazards or security incidents.

For instance, with a video analytics platform, companies can instantly recognize when people attempt to gain access to restricted areas or spend too much time loitering around a certain entry point. AI can even identify erratic movements that might indicate a person in distress. 

This functionality is excellent for helping companies to prevent incidents before they escalate, and even improving the safety of employees, customers, and clients. 

Crowd Management

AI video systems can also be extremely useful for managing crowds in various business environments, such as healthcare settings and hospitality locations. They can monitor occupancy levels in specific rooms or building areas, and analyze crowd flow patterns. They can also detect incidents of overcrowding, to help ensure the safety of visitors and employees. 

In a hotel environment, for instance, using an AI video analytics system could help to improve the guest experience, and ensure resources are allocated to different rooms and environments effectively. These tools can help businesses ensure compliance with safety regulations, and even improve emergency response activities. 

In an emergency evacuation, for instance, video analysis AI can provide real-time data on crowd movements, assisting businesses in directing people to safe exits. 

Integration with Existing Security Systems

Most AI-based video analytics systems are intended to work with existing security systems in a building, such as RFID access control systems and alarm systems. Integration with these tools allows companies to build a comprehensive intelligent strategy for safety and security.

For instance, if an unauthorized individual is detected in a restricted area, an integrated system can automatically lock doors, trigger alarms, and notify security personnel. This leads to a more coordinated strategy for addressing security incidents. 

Integration also allows for data consolidation from various security solutions, allowing for more comprehensive video content analysis, and centralized monitoring and management. 

Scalability for Various Building Sizes and Layouts

As mentioned above, AI video analyzer solutions and tools are often extremely adaptable and capable of being customized to suit buildings regardless of their layout, size, or purpose. Small and mid-sized buildings can leverage cloud-based AI video solutions, which allow for affordable and convenient access to a range of AI capabilities, with minimal need for on-site hardware. 

Larger facilities and buildings with specific bandwidth or latency requirements can utilize edge AI platforms to allow for rapid data processing and real-time analytics, regardless of internet connectivity. Some organizations even take advantage of hybrid deployments, which combine in-house equipment with cloud and edge computing solutions for comprehensive coverage. 

The scalability of AI-based video analytics solutions means they can easily adapt to suit any company’s size, needs, or budget.

The Benefits of AI Video Analytics for Building Security

Used correctly, AI-based video analytics solutions can significantly improve the security standing of any organization, reduce risks, and improve efficiency and productivity. Implemented by a professional team, AI video analytics can:

Enhance Threat Detection and Prevention

AI video analytics solutions improve threat detection and prevention by constantly monitoring the building premises for signs of potential intruders, suspicious activities, and breaches. These tools can analyze vast amounts of data in real time, spotting threats that may be missed by human operators. They can also empower companies to take security actions rapidly.

For example, AI tools can detect unauthorized access to restricted areas, recognizing individuals based on their appearance or credentials. They can identify perimeter breaches using sophisticated pattern recognition algorithms, and highlight suspicious activities, such as loitering near secure areas.

Improve Operational Efficiency

As mentioned above, AI-based video analytics can streamline and improve security operations, automating manual tasks, like monitoring video feeds manually and reducing false alarms. While traditional security systems require constant human supervision, AI solutions can operate independently, allowing for improved resource allocation. 

These tools can empower companies to optimize patrol routes, by analyzing historical data and identifying higher-risk areas. They can also classify alerts based on severity, and ensure that critical issues are addressed promptly. 

Optimize Responses with Real-Time Monitoring

A comprehensive approach to building security requires companies to invest in consistent monitoring, to maintain visibility into risks and incidents as they unfold. AI video analytics software allows for comprehensive real-time monitoring, enhancing an organization’s ability to mitigate threats quickly.

For instance, with live video feeds and instant alerts for suspicious activities, companies can gain access to a comprehensive view of the premises, and immediately pinpoint security risks. AI-based video analytics solutions can even automate emergency notifications in the case of critical incidents, reducing risks to the safety of personnel and clients.

Boost ROI and Reduce Cost Savings

Although implementing intelligent video analytics tools and resources involves some initial expenses, the overall cost savings and return on investment can be significant. Automating surveillance and monitoring tasks reduces the need for additional security staff, leading to lower labor costs. Additionally, the incredible accuracy of AI video analytics software reduces false alarms.

This means companies spend less time and resources investigating the wrong issues. AI video analytics tools can even allow companies to create comprehensive and accurate incident reports, reducing the need for manual reviews. Plus, they can minimize the risk of financial losses as a result of vandalism or theft. 

Enhance Safety and Peace of Mind

On a broad level, AI-based video analytics systems contribute to a safer, more secure environment for employees, visitors, and all other building occupants. Their advanced capabilities ensure that potential threats can be identified and addressed quickly. 

With instant insights into the security of the environment and potential threats, businesses can accelerate emergency response times, and minimize criminal activities. Additionally, when you use AI to analyze video, you can access valuable insights that can inform future security measures and incident prevention measures. 

Real-World Applications of AI-Based Video Analytics

AI-based video analytics systems can serve companies in a range of environments and sectors. These solutions are becoming increasingly commonplace as organizations embrace a wider range of intelligent tools for access control, security, and surveillance. 

In the retail environment, for instance, AI analytical tools can help companies monitor shop floors to prevent theft, optimize layouts for better traffic flow, and even understand customer behaviors. In office buildings, AI-based video analytics tools enhance access control, reduce unauthorized entry, and assist companies in mastering resource and space management.

Residential buildings also benefit from using AI-based video analytics software for advanced security (such as biometric authentication) and monitoring common areas for safety. In industrial landscapes, these solutions can even help to minimize risks to employee safety and ensure valuable equipment and resources are constantly monitored and protected. 

Selecting the Right AI Video Analytics Solution

Since there are various types of AI-based video analytics solutions to choose from, each company will need a comprehensive strategy for selecting the right technology. There are numerous factors to consider, such as: 

  • Solution providers: Service providers specializing in the implementation, integration, and maintenance of AI video analytics solutions are crucial to a successful configuration. Companies should assess each provider’s expertise and reputation carefully and ensure the provider can adapt or customize the solution to suit their specific needs. 
  • Building size and layout: Most AI video analytics solutions are highly adaptable and scalable, intended to suit a range of environments. Assessing your building’s size and layout will help you to determine which kind of AI analytics and surveillance products you need, how much hardware you need to invest in, and which integrations are necessary.
  • Compatibility with existing security tools: The best AI video analytics solutions should always seamlessly integrate with your existing security infrastructure. Searching for solutions that offer comprehensive compatibility with access control systems, surveillance cameras, and data analytics tools will be crucial for comprehensive threat mitigation.
  • Scalability: Effective AI-based video analytics solutions should adapt and evolve with your business. Ensure your solution can evolve as you discover new security risks and threats. Systems with flexible deployment options, modular architecture, and robust integration options will allow for greater scalability.
  • User friendliness: Ideally, the best AI-based video analytics solution should be user friendly and easy to integrate with existing tools. This will help to minimize the need for extensive training and technical expertise when implementing and customizing systems.

The Rise of AI-Based Video Analytics

Artificial Intelligence is becoming increasingly valuable to business and building security, health and safety, and threat mitigation. With AI-based video analytics tools, integrated cohesively into your security systems, you’ll be able to minimize and even prevent threats, optimize scalability, improve accuracy and efficiency, and reduce risks. 

The key to success is choosing the right AI video analytics solution and working with a service provider who can effectively implement your new technology into your ecosystem. At Infassure, we help businesses from all industries unlock cutting-edge technology for security, access control, and surveillance, with comprehensive guidance and support. 

We’ll help you discover and implement the most effective tools for your security strategy, and work with you to scale your security system over time. 

Contact us today to find out more.