To protect your property from any kind of threat, it is imperative to install video surveillance systems. These systems combine cameras, monitoring devices, and storage units that capture images and video footage of the premises and transmit the recordings to the storage unit, allowing security agencies to view them.
But, there’s one thing that has always been a concern for surveillance systems which is giving false alarms to security personnel. This can pose a financial burden on businesses as it accounts for waste of resources. Well, with intelligent motion detection, you can now stop worrying about false alarms. It is an AI innovation that businesses and organizations are using to control the rates of false alarms, thereby increasing the effectiveness of security systems. But, how will this technology reduce false alarms in security systems? This discussion will give you insights into the matter.
But, there’s one thing that has always been a concern for surveillance systems which is giving false alarms to security personnel. This can pose a financial burden on businesses as it accounts for waste of resources. Well, with intelligent motion detection, you can now stop worrying about false alarms. It is an AI innovation that businesses and organizations are using to control the rates of false alarms, thereby increasing the effectiveness of security systems. But, how will this technology reduce false alarms in security systems? This discussion will give you insights into the matter.
Artificial Intelligence To Minimize False Alarms
Like humans can detect intruders entering a property, AI-enabled security systems can also do the same by using predictive analytics and smart alarm technology. It uses video analytics, an AI technology that operates like a human by looking over various video footage and analyzing them. Up to 95% AI false alarm reduction can happen in video surveillance.
The technology can detect anomalies and filter unnecessary noise. Businesses can use AI-based video surveillance systems and set criteria to define what an actual alarm and a false alarm are. For instance, advanced analytics present in AI systems can make the difference between a bird and a spy drone. But, how does it distinguish between these two objects?
The answer is the algorithms are trained in that way. AI video surveillance systems’ algorithms are trained to browse a large set of video data and detect the differences among different objects of interest. For instance, the system learns to point out the difference between dog fur and spider webs and understands the class that these represent.
After extensive training, AI-enabled algorithms are set to work as a component of AI video surveillance solutions. These systems are built to detect comparable objects like dogs’ movements and evaluate this as a non-threatening event, thereby reducing the occurrence of false alarms.
The technology can detect anomalies and filter unnecessary noise. Businesses can use AI-based video surveillance systems and set criteria to define what an actual alarm and a false alarm are. For instance, advanced analytics present in AI systems can make the difference between a bird and a spy drone. But, how does it distinguish between these two objects?
The answer is the algorithms are trained in that way. AI video surveillance systems’ algorithms are trained to browse a large set of video data and detect the differences among different objects of interest. For instance, the system learns to point out the difference between dog fur and spider webs and understands the class that these represent.
After extensive training, AI-enabled algorithms are set to work as a component of AI video surveillance solutions. These systems are built to detect comparable objects like dogs’ movements and evaluate this as a non-threatening event, thereby reducing the occurrence of false alarms.
Utilization of Artificial Intelligence in Video Surveillance To Reduce False Alarm
There are numerous ways AI is used to upgrade security systems and minimize false alarms. These include:
- Edge AI: When video data is stored and processed on the camera that collects it, either locally or on an edge application like a nearby computer, it can be known as an edge system. However, the traditional ones lacked computational capabilities. Since the AI model is integrated within the edge appliance, it analyzes video data and filters out alarm-triggering events on the appliance itself without sending the footage to a consolidated analytics server.
- Cloud: Widely used in video surveillance these days, cloud systems generally capture videos or images on local cameras and then transmit the recordings to cloud servers where false alarms are identified.
- On-site video analytics: It is the costliest security system offering data protection at the most extreme level. In the case of on-site video analysis, the video analysis steps are detached from the collection process. Just like in cloud-based systems, this security system also captures videos and images on cameras and transmits them to an analytics server after which AI algorithms identify and define threats and usual activities, thus reducing the occurrences of false alarms. On-site video data sensors are integrated into private data centers or corporate offices and are managed by in-house staff.
Impact of False Alarms on Security Systems
There can be various operational and financial impacts on security systems due to false alarms, including:
- False alarms can cause extreme alertness on operators thus leading to exhaustion and stress.
- It takes around 15-20 seconds to address every incident detected by false alarms. This makes the security system less productive as the operators spend most of their time checking false alarms and identifying only a few valid ones.
- Frequent false alarms often cause security teams to miss the valid alerts for which customer complaints are raised. This questions the credibility of the security system.
Conclusion
The incident of false alarms was prevalent with traditional video surveillance. To reduce this problem, AI has been integrated with video systems. This technology offers various surveillance features that improve the entire security system of the premises. The video analytics feature embedded in AI security systems analyzes the video and distinguishes between normal events and threats.
For accurate video data analysis and improved security in your organization, you can trust Intellve’s advanced security management products. Their AI-driven security products help detect anomalies, reducing the risk of false alarms.
For accurate video data analysis and improved security in your organization, you can trust Intellve’s advanced security management products. Their AI-driven security products help detect anomalies, reducing the risk of false alarms.