AI Surveillance and How It Maintains High Quality Monitoring Standards

Artificial intelligence for video surveillance is the amalgamation of AI and surveillance tools. The AI takes in all the data fed by the cameras and provides feedback. 

The integration of AI into surveillance systems improves surveillance practices like recognition of different objects (buildings, vehicles, animals, humans, etc.).

AI-powered surveillance systems heavily rely on algorithms. Machine vision enhances traditional surveillance tools by automated detection and reporting. Real-time monitoring has never been easier, and AI can adapt to changes very quickly. 

Another great advantage is that AI security leaves no room for human error. What's more, it can cover larger spaces and process huge amounts of footage simultaneously.

How Does AI Video Surveillance Work?

Industries like food and beverages, security and surveillance, transportation and manufacturing, logistics, and more have started integrating AI video analytics extensively into their marketing and manufacturing strategies. 

AI is getting increasingly powerful. To understand how it works, we'll first need to learn about the main two subsets of the latest AI.

Artificial intelligence can be divided into two layers. Machine learning and deep learning. Machine learning is basically when the AI processes the data and tries to figure out patterns. And deep learning tries to mimic the human thought process. 

Think of those Spotify playlists curated for you. The algorithm observes you for an extended amount of time, recognizes the pattern of your listening habits and then conjures up a playlist for you. Deep learning, on the other hand, is a far superior version of machine learning. AI can handle complex data sets through deep learning without engineers needing to dial in all the codes.

AI-based video analytics uses object recognition, a technology that can be used to teach computers to “see”. Object recognition falls somewhere in between machine learning and deep learning. Now, let's look at the benefits.

Benefits of AI Video Surveillance

There are numerous advantages to using AI video surveillance, including:

Increased Accuracy 

Analogous and raggedy security systems don't know what to focus on and what to ignore. So, these systems tend to miss critical events often. In contrast, AI enhances surveillance practices by alerting you as soon as a threat is detected. AI’s incapability for negligence makes it a far better option than traditional human-ran cameras.

Resource Optimization

Imagine all the money you have invested into routers, switches, broadband connections, cameras and sound systems. But you don't have a strong operator. Your money will obviously go in vain. That's why you should choose an AI-ran system. Not only does it save you money for hiring operational managers, but it also increases efficiency.

Improved Security 

AI-based video analytics can detect anomalies within seconds. This will make your infrastructure more proactive. AI tools can also auto-generate safety reports. These reports are then used to identify patterns and to improvise.

Real-Time Insights

AI enables continuous monitoring. And since AI is always awake, you won't need to employ multiple people to keep your system functional because you have insights coming in real-time. This ensures cost Savings on manual supervision and maintenance.

Equipment and Technology

To set up AI video surveillance, you will need:

Security Cameras: Of course, you'll need these because that's the whole point! Invest in high-quality cameras.

Motion Sensors: Motion sensors can pick up any environmental changes like motion, sound, weather, or lighting. This will feed your algorithm information about any activity that triggers the surveillance system.

AI Algorithm: AI software is loaded onto devices to analyze images, video, sound, and motion and to detect movement in your business accurately. You can try integrating edge devices for quicker deployment. Edge devices also benefit you by reducing bandwidth usage.

Cloud-Based Systems (VSaaS): Or instead of buying so much equipment, you can just go for cloud-managed infrastructure. Video surveillance as a service allows for remote monitoring of multiple locations. This way, even if you have business branches scattered away across the nation, you'll be able to monitor from a single location.

Computer Vision Technology: This is where machine learning comes in. These algorithms are trained to recognize objects and trends which in turn produce intelligent analysis. This technology puts forth a myriad of references in front of your computer, which allows the machine to mimic the thought process of a human.

Applications

Here are a few examples of how organizations benefit by integrating AI into their network:

Security

• AI can detect dangerous weapons like guns, bombs, gaslighters, etc., in real-time footage. This enhances security in public areas such as museums, convention halls, hotels and more.
• AI is able to detect intrusion in restricted areas. Any pedestrian or vehicle entering the protected area would be immediately reported to authorities.
• AI can be used to detect abnormal behaviors or events.

Retail

• AI technology helps monitor employee productivity. It also identifies areas for improvement.
• AI helps prevent losses, as it scans all the data and discovers new findings about customer behavior. It also detects potential threats like shoplifting, theft, slips and falls and inventory losses.
• Features like object and facial recognition add extra security.

Transportation

• Imagine the crowd when collecting tickets. Manually directing a crowd to their destination is very time-consuming. But AI makes it very easy. It might send them an email or play voice memos in the station, and people will pick it up.
• Cameras controlled by AI in vehicles can detect whether or not the driver is wearing a seatbelt.

Hospital

AI-powered tools can–

• Keep track of patient and guest flow to minimize waiting time.
• AI-based video analytics and medical facilities take every patient's individual needs into account before treatment.

Frequently Asked Questions (FAQ)

What are the key features to look for in AI surveillance systems?

The primary features you should expect from AI surveillance systems are big data analysis and real-time surveillance. The secondary but not unnecessary aspects include machine learning capacity, object detection and facial recognition.

How does privacy protection factor into AI surveillance?

As AI systems have the potential to impact people's privacy, there should always be signs indicating that people are being watched. AI developers are trying to train these algorithms to respect someone's privacy by minimizing data collection. Additionally, stores and businesses should keep ethics and morals in mind before placing cameras.

Conclusion

Businesses usually experience tremendous improvement by integrating AI into their systems. However, feeding a large amount of data to these AI operators raises privacy concerns. Protecting privacy in the age of AI needs a multifaceted approach. 

Stakeholders should always educate themselves on privacy rights and regulations. Otherwise, people will be wary of AI or worse, they might even start protesting against it, which is why businesses should always practice transparency.