Enhancing Security Through AI and Camera Analytics

Today’s world is much more dynamic than a decade ago, thanks to AI’s fast-paced development and adoption in almost every industry. The security sector is no exception and stands to benefit significantly from these advanced capabilities, especially given the emergence of AI-powered cameras and analytics.

Unlike traditional CCTV-based surveillance systems, AI security systems leverage software to capture clear pictures and footage and analyze data to determine threats in real-time with minimal human intervention. This post will examine some of the benefits of AI camera analytics in surveillance systems.

What Is PoE and Its Role in Security Systems

Power over Ethernet, or PoE, is the technology that allows connected network devices to receive power and data via a single Ethernet cable. This ability simplifies installation as PoE systems don’t require an electrician to lay out power sources near the device. Consequently, PoE devices can be placed in areas that would otherwise be hard to reach or where power sources could not be installed.

In security systems, PoE can power IP surveillance cameras throughout a business establishment without extra power infrastructure. Besides cost-savings, IP cameras often come with remote access features, allowing IT professionals to set specific automation parameters and store recorded video on the cloud. Such features can bring flexibility to any security system that might otherwise be impossible.

Leveraging AI in Camera Surveillance Systems for Heightened Security

When it comes to surveillance, there are many aspects where business owners can use AI to improve the efficacy of their organization’s security measures. Many possibilities exist, including intelligent biometric recognition, video analytics, and AI-enabled cameras.

AI in Biometric Readers for Enhanced Security

Facial recognition systems with AI capabilities already play a crucial role in identifying and authenticating individuals while recognizing possible fraudulent activity that may indicate a security threat. An example of such a product is the Elionic-300 Employee Kiosk, which uses biometric recognition powered by deep learning algorithms to ensure that only authorized persons can access business premises. The device further empowers employers by sending an alert whenever it detects an out-of-the-ordinary event, such as access to a building outside regular business hours.

AI in Camera Operation

The complex security threats businesses face today require improved cameras to capture security events with high quality and clarity. Video quality is crucial for security cameras because facial characteristics must be distinguishable to make footage admissible as evidence. This underpins the need for high-resolution cameras and systems capable of adjusting to unexpected factors. The intelligence and flexibility offered by AI systems make them uniquely suited to such use cases.

An AI camera is highly versatile and can adjust various camera settings automatically depending on environmental parameters like lighting and other predetermined factors. By leveraging AI, modern cameras can alter things like exposure and white balance or even focus on a particular event after detecting movement or some other predetermined criteria that may be specific to your business. Coupled with the leverage offered by PoE, AI cameras can be placed anywhere and configured to send alerts over the IP when they detect a possible security risk.

AI Software in the Security Process

The real deal with AI in security systems boils down to the fast-advancing capabilities of AI in video analytics. Security sector stakeholders can now leverage AI software to analyze security footage in real-time and notify security personnel in time for prompt action. With older technology, employees had to continuously monitor several cameras at once to detect any suspicious activities, leaving security loopholes due to the physical impracticalities and tediousness of manual monitoring.

Typically, AI camera analytics software incorporates advanced image processing and machine/deep learning algorithms, making it easier to label, sort, and organize images and footage for later retrieval (for example, by searching for a particular event to gather evidence). The true power of algorithms comes from their ability to learn what’s ‘normal’ over time, leading to improved accuracy over time.

Examples of Areas where AI Camera Surveillance Systems Can be Used for Enhanced Security

The applications of AI in camera surveillance systems are endless and can offer almost every industry focused on improving their security something better than standard security systems. Some of the case studies on AI and camera analytics include:

• Reducing organized retail crimes (ORC): AI video analytics software can accurately monitor store footage in real-time and make data-driven, accurate predictions that a crime is about to take place. AI makes predictions based on behavior analysis, for example, when the system detects a suspect overstaying in a store or attempting to hide something.
• Enhancing campus security: Camera analytics can positively detect anomalies on business campuses using various parameters within the video stream, such as people getting close to the perimeters of rooms containing intellectual property or other secured data.
• Airport security: The need for heightened security in our airports makes them perfect candidates for AI camera analytics. AI can recognize vehicle plates, detect unattended bags/items (which could signify a potential security risk), and deter theft and entry into restricted areas. AI camera surveillance systems can be connected to the alarm/notification system and used to automate specific tasks that might otherwise compromise airport security when prompt manual intervention fails.

AI camera analytics can also be used for smart asset monitoring and protection. For instance, it can send notifications regarding threats and other issues by detecting intruders and unauthorized access in data centers, utility installations, and storage facilities.

PoE Managed Switch: The Backbone of the AI Camera Security System

Why choose a PoE managed switch? A PoE managed switch plays a pivotal role in any network system where power delivery and data connectivity are critical, such as an IP camera surveillance system. In addition, a managed switch offers features such as Quality of Service (QoS), network segmentation through Virtual LANs, and the ability to send information to predetermined recipients automatically.

Other benefits of PoE managed switches in an AI camera surveillance system include scheduling times to power off/on, saving energy costs, and routing control, which ensures sensitive data is only delivered to predetermined destinations. Additionally, the ‘route footage’ feature enables intelligent routing of the surveillance footage to designated storage servers and prioritizes video data traffic recording, making archiving a smooth and uninterrupted process.

Incorporate AI Camera Analytics into Your Security System Using Power of PoE

AI camera security systems can significantly transform the landscape of surveillance technology thanks to their unparalleled efficiency, accuracy, and adaptability in various scenarios. With Power over Ethernet, businesses can now install these cameras in any location, whether indoors or outdoors. What sets these systems apart is that as AI continues to grow, AI camera analytics software and algorithms will also adapt and improve, which means that you can update the capabilities of your surveillance system by simply configuring new parameters or installing new software.

Versa Technology is one of the largest suppliers of Power over Ethernet (PoE) technology, offering solutions for today’s needs and tomorrow’s demands. Visit our website for more information on our products.