Whether you are running a shopping centre, parking garage, manufacturing plant, public facility or office building, security is a top priority. At all times, businesses and individuals must be secured against threats, including vandalism, property theft, and terrorism. And that’s where AI video analytics systems are outperforming all other options, not only making security more effective but making it simpler and cost-efficient too. Here’s how it works and where it’s being applied.
AI video systems for security
These solutions combine high-definition security camera networks and AI/machine-learning software to create a far brainier and more effective option than smart security cameras and even manned surveillance can provide.
The strength of AI and machine learning lies in its ability to collect data, analyse it, and take action within parameters that can be customised to the application. It also never sleeps, never gets distracted, and never even blinks. It also operates in real-time, delivering alerts and actions instantly.
With these systems, you are not only able to implement an exceptionally reliable surveillance system, but you also relieve the pressure on your security staff. That’s because it can act independently of human intervention, which means far fewer manhours, fewer false alarms, and fewer elements of waste.
In the event of an alert, the system can classify it according to custom parameters, deliver a report, and either alert your team, or the relevant authorities, or even take action itself. For example, if you are monitoring a parking garage, it will record all the people and cars entering and exiting it. It uses behavioural analysis to identify security issues, so if a car window is broken and a laptop is snatched, it will identify it rapidly, call law enforcement or your team, and deliver a report.
In the same vein, if a security access system malfunctions, it can identify this based on the pattern of behaviour for vehicles and people. So, it will notice that a car pulls up and that a boom does not open, alerting your team as you require. If it is linked to the access control software, an alert will occur as soon as the access system registers the error.
Use cases for AI security camera analytics
So far, we’ve only spoken about very specific examples of using these systems, but they are incredibly flexible and versatile in their application. They have been successfully utilised for:
- Unmanned access control – Into garages, shopping centres, parking areas, and buildings, visitor management, preventing tailgating as well as providing seamless clocking in for time and attendance tracking
- Retail loss prevention – Utilising behavioural analysis to detect shoplifters, employee theft, and shrinkage issues in real-time
- Operational safety – Monitoring high-risk or large areas such as plants and work yards, identifying safety risks, when people are not following safety protocols, and more
- Crowd monitoring – Behavioural analysis and identification of individuals within large crowds, ideal for detecting illegal or dangerous activities in events and public spaces as well as detecting potential suspects working together
- Tracking – Identify and track individuals through real-time and historical footage while protecting the identity of bystanders, and providing tactical surveillance and situational awareness for security operations
- Reduce false and minor alarms – Reduce the workload of security staff by significantly reducing false alarms as well as handing off standard responses to minor events to automated systems
AI brings considerable advantages to the table for protecting your assets and people as well as reducing the burden on security staff. At Otto, we’re here to provide you with solutions that truly work for your business – and we’ll never sell you on something you won’t see ROI on. Chat with us today about advanced security systems driven by AI.