Video security systems have come a long way in recent years, thanks to advancements in artificial intelligence (AI) technology.
With the integration of AI, video security systems are now more powerful and efficient than ever before. These systems can analyse video footage in real-time, detect unusual activities, and even identify specific objects or individuals.
Whether you’re a homeowner looking to protect your property or a business owner aiming to enhance security measures, investing in an AI-powered video security system is a smart decision.
Whether you’re a homeowner seeking to safeguard your property or an entrepreneur striving to amplify security measures, investing in an AI-powered video security system not only ensures enhanced protection but also aids in improving customer experience by providing a secure environment, fostering trust.
It also paves the way for business advancement by enabling effective monitoring, data analysis and proactive response to situations, streamlining operations and promoting growth.
Let’s dive into the world of AI video surveillance, compare it with old-school systems, and see why it’s quickly becoming the preferred choice for safeguarding valuables.
Understanding AI-Powered Video Security
AI-powered video security systems, also known as intelligent video surveillance, involve the integration of artificial intelligence technology with video surveillance.
This technology utilises machine learning algorithms to analyse video footage in real-time and make decisions based on that analysis.
Currently, 75 out of 176 countries1 worldwide are using AI-based surveillance technologies to enhance security, according to the AIGS (Artificial Intelligence Global Surveillance) index2.
What sets AI-powered video security apart is its ability to learn and adapt. Unlike traditional systems that merely record and need manual intervention for analysis, AI systems analyse video feeds in real-time, identifying anomalies and potential threats.
Imagine a system that can recognise faces and license plates, differentiate between people and objects, and detect suspicious behaviour. They’re highly efficient, reducing the risk of human error and saving countless hours of manual surveillance.
How AI Enhances Video Surveillance Capabilities
Advanced Object Detection
This feature allows the AI-powered video security system to identify specific objects within the video footage accurately, something that traditional systems can’t accomplish.
It uses machine learning algorithms to analyse video data, identify patterns, and distinguish different objects such as humans, vehicles, or animals.
Moreover, advanced object detection could be customised to identify specific objects based on the security needs of the user.
For example, in a parking lot surveillance scenario, the system can be programmed to detect and alert only when a vehicle is present, thereby reducing false alarms triggered by non-threatening movements.
Facial Recognition and Biometric Identification
Traditional security systems might be able to capture faces, but the identification process would still be manual.
AI, however, takes it a step further by not only detecting faces but also identifying and matching them with a known database.
Using a high-quality AI camera, in particular, can accurately detect vehicles in real-time with a 99% success rate.
AI-powered video surveillance systems use deep learning algorithms for facial recognition, allowing them to identify a person even if they have changed their appearance substantially.
Enhanced Motion Detection
AI-powered video security systems have the ability to detect motion more accurately than traditional systems.
This is because they use complex algorithms to analyse the video footage and identify any unusual activity. When an anomaly is detected, the system can alert the user or trigger an alarm.
This feature significantly reduces the number of false alarms, which are common with traditional systems that rely on simple motion sensors.
In Malaysia, the adoption of AI video security with enhanced motion detection capabilities was proposed to improve public safety.
The integration of artificial intelligence and video content analytics has helped reduce incidents of petty thefts, making Malaysia safer for both tourists and locals.
Deputy Tourism, Arts, and Culture Minister Khairul Firdaus Akbar Khan visited the Kuala Lumpur Command and Control Centre and witnessed the effectiveness of the city’s intelligent CCTV system, which has 5,000 cameras compared to 1,000 five years ago.
Predictive Analysis
AI-powered video surveillance systems also offer predictive analysis capabilities.
By analysing vast amounts of data and identifying patterns, these systems can predict potential security threats before they occur. This proactive approach towards security is a significant upgrade from traditional systems that typically react to incidents after they have occurred.
Predictive analysis can help in various scenarios, like predicting potential intrusions in a restricted area or foreseeing overcrowding in a particular area, which could lead to accidents.
Intelligent Video Analytics
AI-based video security systems can perform intelligent video analytics, which is not possible with traditional systems.
MarketsandMarkets6 predicted that the global video analytics market is expected to increase in value from an estimated $7.1 billion (RM34 billion) in 2022 to $20.3 billion (RM97 billion) by 2027.
These sophisticated systems can analyse video footage in real-time and extract valuable information. They can identify patterns, track objects, count people, and much more. This feature can be used to improve business operations and make more informed decisions.
For example, a retailer could use intelligent video analytics to monitor customer behaviour and improve store layout. A city could use it to analyse traffic patterns and optimise traffic light timings.
How Can Businesses7 Implement A.I. Video Security?
Evaluating the Need for AI Video Security
Before implementing AI video security, businesses must first evaluate their need for this technology.
This involves analysing their existing security system and identifying the gaps that AI could fill. For instance, if a company has a large number of surveillance cameras, it might be challenging to monitor all the feeds manually.
Businesses should also consider the locations they would like to monitor.
- Are these locations prone to crime?
- Is there a high risk of theft or vandalism?
These are some questions businesses should ask while evaluating their need for AI video security.
Selecting the Right AI Video Security System
Once the need for an AI video security system has been established, the next step involves selecting the right system.
This includes researching various AI video security providers and comparing their offerings. Factors to consider while selecting a system include the system’s capabilities (e.g., facial recognition, object detection), reliability, ease of use, and cost.
It may also be beneficial to consult with a security expert or a trusted vendor during this stage.
They can provide valuable insights and recommendations based on the specific needs and budget of the business. Once a suitable AI video security system has been selected, businesses can move on to the installation process.
Training Staff on Using the AI Video Security System
After the AI video security system has been installed and tested, the next step is to train staff on how to use it. This might involve training security personnel on how to monitor the system, respond to alerts, and use the system’s features.
Additionally, businesses should establish clear protocols on how to respond to different security scenarios identified by the AI system.
Better Cybersecurity Implementation with Grayscale
At Grayscale, we understand the power of AI-powered video security systems. We specialise in designing and deploying AI-based solutions that provide enhanced safety and convenience.
Our solutions use AI to detect anomalies, as well as recognise faces and license plates. We also develop customised cybersecurity solutions to meet the specific needs of our clients.
Discover the power and efficiency of an A.I.-powered video security system with Grayscale by emailing us at enquiries@grayscale.my to understand how our advanced A.I.-powered security solutions outperform traditional systems and can offer unmatched safety for your place and online presence.
References
1. Nouri, S. (2020, December 4). How AI Is Making An Impact On The Surveillance World. Forbes. Retrieved October 26, 2023, from https://www.forbes.com/sites/forbestechcouncil/2020/12/04/how-ai-is-making-an-impact-on-the-surveillance-world/
2. Carnegie Endowment for International Peace. (2019, September 25). AI Global Surveillance (AIGS) Index. Carnegie Endowment for International Peace. Retrieved October 26, 2023, from https://carnegieendowment.org/files/AI_Global_Surveillance_Index1.pdf
3. Wilson Security. (2023, October). AI surveillance: automating video security solutions and improving threat response. Wilson Security. Retrieved October 26, 2023, from https://www.wilsonsecurity.com.au/insights/blog/ai-surveillance-automating-video-security-solutions-and-improving-threat-response/
4. Kingdom Services Group. (2021, August 1). Enhance Site Security with AI Powered Security Cameras | Blog. Kingdom Services Group. Retrieved October 26, 2023, from https://www.kingdom.co.uk/blog/how-to-enhance-site-security-by-using-ai-powered-security-cameras
5. Jalil, A. (2023, January 17). Calls for a safer Malaysia via better adoption of smart CCTVs. New Straits Times. Retrieved October 26, 2023, from https://www.nst.com.my/business/2023/01/871176/calls-safer-malaysia-better-adoption-smart-cctvs
6. MarketsandMarkets. (2023, July 18). Video Analytics Market Size, Statistics, Global Trends, Growth Opportunities and Forecast. MarketsandMarkets. Retrieved October 26, 2023, from https://www.marketsandmarkets.com/Market-Reports/intelligent-video-analytics-market-778.html
7. Lahiff, M. (2023, September 27). How AI Is Disrupting The Business Of Physical Security. Forbes. Retrieved October 26, 2023, from https://www.forbes.com/sites/forbestechcouncil/2023/09/27/how-ai-is-disrupting-the-business-of-physical-security/
