In this day and age, it is almost impossible to find a better alternative to video surveillance as a general security solution. Be it private property or public— video surveillance is everywhere.

From gas stations to universities, government and private industries have heavily invested in these surveillance settings. But the real question is— do we have enough manpower to get value out of the video? Except in the larger enterprise systems or government, in most cases it is still mostly classic record and view based.

There are thousands of security cameras worldwide, and nobody has the patience to watch them all. This is where AI surveillance enters the conversation. AI has the ability to process every frame and give real-time feedback. It has made threat detection and monitoring so much easier that nobody has to sit in a chair for hours on end.

According to the AIGS index, note that this survey was conducted on 176 nations, and almost 75 countries actively rely on AI-powered analytics. China and the US are the top users and providers of this technology simultaneously.

In this BLOG we will show you how smaller organizations, mid sized even smaller companies can also do this and start getting a lot more value out of their video cameras.

How Does AI Analytics Work?

in video surveillance uses machine learning for the most part. Machine learning algorithms and computer vision analyzes video footage in real-time. Live data is compared against previous recorded data. This way, the system learns typical patterns of behavior like movement and interactions.

When the AI detects anomalies or deviations from its already recognized patterns, it triggers security alerts. Unusual loitering or unauthorized access, everything counts as an anomaly. So, the AI sends signals to the people in charge of the investigation. Let's check out its applicability.

Features of AI-Powered Security Systems

AI has lots of valuable applications in monitoring. It can turn hours of security footage into useful information. It takes the load off your team members’ shoulder by automatically marking important events and security alerts. With a reduced workload, they can finally focus more on the in-house projects.

All of the above was focused on recording and finding video. An even more useful application is to prevent bad things from happening in the first place or to respond faster to minimize the impact.

This can be done by programming systems that when they recognize a certain situation can cause a certain action, i.e. see an intruder - activate alarm. See a person fall and not get up immediately - call for help...

IPTECHVIEW as one example includes many useful AI applications organized by industry and also now offers a space to curate specific AIs to detect specific custom problems and respond as the customer wishes.

More on the basics and how these things are done.

Tracking and Object Recognition

Advanced computer vision algorithms let AI to “see”— both literally and figuratively. Our traditional systems primarily rely on motion detection and manual monitoring. And, as useful as they may be, they have their shortcomings.

Manual monitoring and motion detection struggle to detect objects accurately. Irrelevant moments like swaying trees or passing vehicles can trigger the sensor, which often results in false alarms.

On the other hand, AI analytics are more likely to differentiate between objects, animals, and humans. The exceptionally high accuracy reduces the chances of those false alarms. Also, The average human brain cannot sustain concentration on something for more than 12 minutes. So, there's that. We should leave this monitoring task to artificial intelligence.

Facial Recognition

This is arguably the best usage of AI tools. AI algorithms can very efficiently identify facial features. From a person's hairline to their tiny moles— nothing gets unnoticed.

There are many different types of FR from a basic system to detect employees in a small business to a school to detect there alumni all the way to a Casino detecting cheaters or Border Control Identifying its Citizens and Lawful Residents.

IPTECHVIEW is particularly interesting since it offers options for different levels of FR and different brands to let the company or organization select exactly the type of FR needed for the application at hand.

Facial recognition FR has become one of the biggest areas used by the government for public safety as well as the transportation industry for identifying people. FR is particularly useful in situations where access control is important, for example, airports, government buildings, corporate offices, etc.

The key for Face Recognition systems is to have the right database to identify what needs to be identified and to do it in a manner consistent with local privacy laws. This also needs to be implemented the right way and IPTECHVIEW offers tools to use exactly what is recommended or allowed from a legal point of view. In some cases that may mean controlling the size of images, resolution, viewing angles or even selecting between single-frame pictures versus video streams.

Predictive Analysis

With predictive analysis, AI can anticipate and pinpoint security risks. It does so by putting live footage against previously recorded footage.

Crowded areas where it is difficult for regular motion sensors to give their best performance, predictive analytics is the best option. Think of subways, train stations and airports— AI can make monitoring so much easier!

AI can analyze human body language and detect when someone is just walking and when they are running away. It can even detect vandalism. Whenever an anomaly happens, this smart software sends an alarm to the person in charge. This proactive approach prevents the risk of potential threats.

IPTECHVIEW uses multiple sate of the art Multi-Modal Large Language system that can be custom programmed combined and concatenated in the IPT AI STUDIO to create custom solutions.

Faster Data Extraction

AI tools can acts like a savior in a state of emergency. It becomes very challenging to extract information from each and every camera in times of calamities. However these are going to be exceptional moments. Where AI can pay for itself is in Analyzing and logging all sorts of operational data that companies need.

IPTECHVIEW's AI Studio can also be used to log specific incidences, classify, count and summarize.

In today's fast-paced business world, bad actors actions, pandemics, terrorism, riots, all require immediate action.

In all these cases from general safety rules, emergency actions, HR or Security, Asset Protection or Data Collection AI is here to help you. IPTECHVIEW lets you program, craft and adapt the solutions you create and make us all winners.

Fire and Smoke Detection

AI-powered surveillance settings can detect smoke or fire in real-time. It is crucial to detect fire before it's too late. This is how integrating AI allows every industry to add an extra layer of security. IPTECHVIEW is already in use in several countries to help with wildfire identification.

Monitoring

If a business is considering AI Analytics, they probably already have a functional system. Despite the massive upsides, AI also has some challenges. Including:

• Privacy concerns
• Financial burden
• Requires special attention

Data Security and Integrity

AI surveillance creates a huge amount of data that needs to be carefully protected. Keeping this data secure from hackers and making sure it's accurate is important. But it can be tricky to manage because there’s so much of it and it has to be processed quickly. Implementing these security measures is challenging, and also necessary to keep the system safe and reliable.

Ethical Concerns

AI systems can create ethical problems like bias in decision-making and privacy concerns from constant monitoring. For example, an AI used in hiring could unfairly favor certain groups if trained on biased data. Similarly, AI surveillance might invade people’s privacy, making them feel like they're always being watched.

Organizations need to address these issues carefully to avoid losing public trust. If they don’t, they could face backlash, damage their reputation, and even face legal trouble. It is always smart to discuss your projects with your in-house legal counsel before deploying or spending resources to create a solution that might not be legal in your region.

Technical Challenges

Integrating AI analytics isn’t just about adding new technology. It requires careful adjustments to make sure the algorithms work correctly and fit with existing systems. This process is complex and needs experts who understand both AI and the current infrastructure to ensure everything runs smoothly. IPTECHVIEW AI STUDIO, AI LAB and AI RULE ENGINE are all tules designed for Technology Partners to develop and deploy their unique solutions.

More on Video Surveillance and AI for Cities and Public Spaces IFSEC Insider