Artificial Intelligence (AI) has rapidly taken over the world of technology in the last couple of years and is expected to grow at a far faster rate than it does now. The video surveillance sector is one area where AI has made a considerable impact. AI is changing the modern security and surveillance landscape and radically changing the way users interact with their security systems. However, before we get any further, we must first understand what is the importance of AI in the video surveillance industry and how it has affected the same.
Why Artificial Intelligence for Video Surveillance?
Since the beginning of Industry 5.0, the growth and investment in the AI-driven Video Surveillance Industry have been at an all-time high. According to studies, the global video surveillance market size is expected to grow from USD 45.5 billion in 2020 to USD 74.6 billion by 2025, at a CAGR of 10.4% and with such high investments and growth comes better and advanced technologies. So it is safe to say that the future of AI Video Surveillance is going to get better and better.
With the introduction of smart video surveillance, AI-driven products have started to unlock many new features and functionalities and have changed the game for the whole world. From getting higher resolution cameras to better sensors to more efficient processing units, we have entered the stage where there seem no limitations to the kind of results we can get with today’s hardware and software integration. Both of them can work together and modified in such a way that we can yield the best possible personalized experiences.
With this being said, let us discuss some of the advantages of Smart surveillance:
- Faster surveillance
Imagine looking for a pack of a particular brand of salt in a store where things are arranged un-systematically and completely out of order. You’ll have to check out the whole store, every shelf in each aisle. Sounds like a hectic task, right? This is what it is like to do video surveillance without AI. Security operators go through hours of footage from multiple cameras hoping to find something critical that they can investigate further. Since the introduction of smart surveillance, it’s the AI that provides the operator with the physical description (gender, age, etc.) which can be used to look up if they have any kind of suspicion. Along with this, face recognition, object identification, and event recognition are all enhanced by AI, resulting in proactive and real-time security.
- Enhance the depleting attention span
It is a known fact that the human attention span has declined, hence AI comes in handy as it reduces hours of work into a couple of minutes. The viewer doesn’t pay attention to everything because the majority of it is irrelevant. Instead, they prioritize what is and is not important, frequently focusing primarily on unexpected or uncommon information or situations. Now picture a security operator going through hundreds of these surveillance cameras and trying to segregate between what is critical and what is not. So when AI takes over, the technology can help focus on the events which might need the operator’s attention.
Taking a Step Together
Industries from every sector are moving towards smart surveillance to protect their employee’s well-being, safeguard the community, and improve overall processes and services.
The industries where surveillance solutions are achieving some of the most impressive results around the world are:
- Education: High schools were one of the leading users of surveillance cameras just ten years ago. Today, practically every division of education is integrating and adopting new surveillance systems to protect students, instructors, and personnel from vandalism, theft, or a possible active shooter situation. When it comes to colleges and universities, many well-known websites incorporate campus safety in their college rankings, based on data gathered by the US Department of Education.
- Transportation: Trains, subways, buses, planes, and other forms of public transportation all have crime. Theft, assault, vandalism, and terrorism are best prevented and halted by sophisticated end-to-end engineered surveillance systems that not only chronicle but also deter future crimes. Computer vision is also being used in transit systems to improve surveillance for traffic incident management, first-responder notifications, evaluating traveler behavior, and reducing overcrowding during peak travel hours. People counting, for example, can be used to inform engineers when trains have reached capacity in congested subway systems.
- Retail: Smart surveillance is used in retail stores in a very straightforward manner like theft prevention. Loss prevention is a cornerstone of all retailers’ operations, with the goal of detecting and minimizing theft both internally and outside. The technology is not only limited to theft or loss prevention. For example, what are the risks associated with stacked items that may potentially collapse and cause injury and a lawsuit?
How VVDN helps OEMs with AI-based camera solutions?
VVDN’s AI/ML expertise in the world of vision helps in delivering next-gen camera-based solutions with high-speed edge analytics and reduced power consumption to the customers. VVDN brings advanced artificial intelligence and machine learning capabilities including deep learning, convolutional neural network (CNN) to address multiple tiers (high as well as mid-range) of smart cameras.
Over a while, VVDN has invested in developing a wide range of AI/ML algorithms that can easily be customized as per the customer requirements and are capable of performing Object Detection, Object Tracking, Face Detection, Feature Matching, Distance Measurement, Head Tracking, Dizziness Detection, Lane Detection, etc. These algorithms work on different platforms of Nvidia, Qualcomm, Xilinx, Ambarella, etc.
With all this, VVDN has successfully designed, developed, manufactured, and delivered best-in-class AI-based camera solutions such as security surveillance cameras, dash cams, video conferencing solutions for Tier 1 and Tier 2 OEMs.
To know further about VVDNs AI-based Camera Solutions please email us at email@example.com.