Protecting education campuses with AI video solutions
Security is a 24-hour challenge. Protecting our schools involves preparation of a range of security and physical hardening tools. Reducing risk needs that access to school buildings be controlled, while also preserving an ‘open’ field atmosphere that promotes a learning environment. schools should be an inviting place for students and families, so technology solutions aimed at limiting access should be low-profile and unobtrusive. School security must also be designed in layers, or concentric circles of protection, beginning at the school’s perimeter and working inward to secure individual classrooms and other internal areas.
How technology can help
Video surveillance could be a technology that is unobtrusive and can promote security starting at the outermost boundaries of the school environment – at the perimeter and as automobiles drive onto school grounds. Surveillance can keep a silent and constant watch on people comes and goes.
Furthermore, incorporating new artificial intelligence (AI) and deep learning technologies are increasing the period of time capabilities of video surveillance to produce early warning of a potential security threat because it enters a campus. AI and deep learning analyse the content of video feeds and supply usable info to security personnel, together with analysis of trends and period of time alarms once a happening takes place.
In addition to controlling perimeter access, video surveillance incorporating AI can also provide other benefits, such as keeping watch on a school campus after hours – before and after school, or even on weekends when extra-curricular activities may be taking place. The systems can monitor traffic flow and ensure that only authorized vehicles enter an area. The benefits of AI-driven video systems also enable greater effectiveness of systems that are not being actively monitored. Video feeds are analysed in real-time and alarms can be raised only if there is a problem.
- Controlling illegal parking and restricted areas at schools:
Whenever a vehicle passes into a restricted area on a school’s campus, the video system captures a vehicle image and automatically provides significant data.
Automated number plate recognition (ANPR) systems identify the license numbers of cars that enter a school’s parking entrance or gate and can match the numbers to a watch list and provide an alarm. The technology could also be used to monitor compliance with restricted areas; for example, to only allow vehicles that registered for a parking pass to park in a certain lot. A more advanced approach could involve dual identification technologies – vehicle plate and facial recognition of a driver – to add another layer of security.
- Controlling ‘buses only’ and restricted areas:
Traffic cameras with deep learning technology can also identify and classify vehicles; in effect, to distinguish between small and large vehicles and even detect a vehicle’s make, model and colour. For instance, it is possible to differentiate between cars and buses in ‘buses only’ areas. Currently such cameras are more commonly deployed on public streets and highways, but the capability is there.
The system can also capture images and produce alarm data if a vehicle is driven in the wrong direction, such as into an exit-only lane or the wrong way on a roadway.
3. Facial recognition at school entrances:
Facial recognition can be used at school entrances and gates to promote security of students and staff and to identify known suspects who attempt to enter the building. ‘Blacklist alarm’ technology generates a notification if a known suspect enters.