Video Surveillance Trends

By HT -Install |

Video Surveillance Trends

Introduction

The world of video surveillance has changed dramatically over the past few years. Now, instead of just keeping an eye on things, security systems can now actively help you prevent crimes and reduce liability risks by detecting people or objects as they enter restricted areas or when an alarm is triggered. Here's how!

Video Surveillance Trends

Video surveillance trends in 2022 include AI video analytics, thermal cameras, and more. These trends are important because they show how video surveillance is changing to keep up with the needs of customers and companies. Video surveillance is a critical aspect of many businesses' operations today, but companies can't rely on traditional techniques for monitoring their environments forever. As new technologies become available, it's important for all businesses—from large corporations to small startups—to stay up-to-date with the latest trends in order to remain competitive in the marketplace.

The following list includes some common video surveillance trends that you should be aware of as a business owner:

What's new and trending in video surveillance?

AI Video Analytics is a wide range of new technologies that help the video management and recording software to detect, recognize or identify objects and events in camera video. This technology can be used in many different ways from simple detection of motion to advanced facial recognition functions. AI Video Analytics uses powerful machine learning algorithms to classify objects within the scene, triggering alerts when specific actions are detected. The system will then review only those clips where an alert was triggered so that you don’t waste time watching irrelevant footage.

There are two new trends hitting the market:

Two new trends are hitting the market:

  • AI Video Analytics and
  • Thermal Cameras.

Artificial Intelligence (AI) based video analytics and Thermal Cameras.

AI Video Analytics

AI Video Analytics

AI Video Analytics is a wide range of new technologies that help the video management and recording software to detect, recognize or identify objects and events in camera video. AI Video Analytics is used for: collection, detection and monitoring of people, vehicles or other moving objects; recognition of specific activities (such as parking, loitering etc.), behavior recognition (such as shoplifting), event correlation; alerting on intruders around protected areas / assets like stores/cash rooms etc.; tracking employee performance metrics during work hours using biometrics.

AI Video Analytics is a wide range of new technologies that help the video management and recording software to detect, recognize or identify objects and events in camera video. Most people are familiar with Automatic Number Plate Recognition (ANPR) and Facial Recognition cameras. But now, we see AI being used to detect other objects like people, vehicles, drones, weapons and more.

Other emerging AI applications include thermal monitoring for social distancing, presence detection for occupancy tracking and thermal person detection. We think these are the next big thing for retail stores because they can help keep employees and customers safe!

Thermal cameras are popular for perimeter protection at night when it's dark out or in dense fog or smoke. Thermal cameras can also be used for "night vision" observation of people or animals in near total darkness — even if there is a power outage!

While these applications are very useful, another emerging AI application is thermal person detection: The ability for an infrared camera to identify humans based on body temp and clothing material (see image below). This technology provides added value by detecting heat signatures from both the human body and surrounding objects like cars, buildings and other equipment.

The second trend we see is Thermal Cameras. These cameras use infrared light to detect heat emissions from objects. It is often used by security professionals to detect people or animals using little or no visible light. Thermal cameras are popular for perimeter protection at night when it's dark out or in dense fog or smoke. They can also be used for "night vision" observation of people or animals in near total darkness — even if there is a power outage!

Thermal cameras use infrared light to detect heat emissions from objects. It is often used by security professionals to detect people or animals using little or no visible light. Thermal cameras are popular for perimeter protection at night when it's dark out or in dense fog or smoke. They can also be used for "night vision" observation of people or animals in near total darkness — even if there is a power outage!

AI Video Analytics and Thermal Cameras are what's hot right now!

AI Video Analytics and Thermal Cameras are what's hot right now!

AI Video Analytics and Thermal Cameras are what's hot right now!

AI Video Analytics is a wide range of new technologies that help the video management and recording software to detect, recognize or identify objects and events in camera video. These techniques are often used for security purposes but can also be useful for traffic monitoring, remote monitoring or even industrial automation applications. Examples include: Motion detection, face detection/recognition (via facial landmarking), object tracking (e.g., license plates) and person counting by age group etc...

Conclusion

There are two new trends hitting the market: AI Video Analytics and Thermal Cameras. These cameras use infrared light to detect heat emissions from objects. It is often used by security professionals to detect people or animals using little or no visible light. Thermal cameras are popular for perimeter protection at night when it's dark out or in dense fog or smoke. They can also be used for "night vision" observation of people or animals in near total darkness — even if there is a power outage!

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