Unauthorized Entry Detection
Unauthorized Entry Detection
What is unauthorized entry detection?
The process of identifying people who are trying to access restricted or high-risk areas in industrial zones, without proper clearance, and sending immediate alerts for action, is referred to as unauthorized entry detection. Through such detection, instant alerts can be generated when someone crosses a virtual boundary or enters without permission.
What types of areas in industrial sites are most vulnerable to unauthorized entry?
Typically, zones like heavy machinery areas, data centres, maintenance shafts, chemical storage rooms, confined spaces, and power control units are restricted for safety and security reasons and hence are most vulnerable to unauthorized entry. Unauthorized access to such zones can lead to accidents or security breaches.
Is unauthorized entry detection only for human intruders?
Not always. In some high-security zones, the unauthorized entry detection systems are also trained to recognize unauthorized equipment or vehicles entering restricted paths. Computer vision can identify whether it is a human, a vehicle, or an unregistered object and immediately trigger alerts.
How does video analytics help in unauthorized entry detection?
Through automated video data interpretations, video analytics detects suspicious or unusual activities like people in no-go zones, and trigger alerts instantly. In fact, repeated appearances of unknown individuals or movements during off-hours can be flagged without manual monitoring.
What are the long-term benefits of installing unauthorized entry detection systems that are powered by video analytics?
Apart from immediate security, these unauthorized entry detection systems also help reduce downtime, protect assets, as well as improve compliance with health and safety regulations. This, over time, reduces the need for manual surveillance and helps build safer and more controlled environments. Video analytics, supported by AI CCTV and computer vision, makes it possible to maintain intelligent, 24/7 surveillance without inflating manpower costs.
Article by
Barnali Sharma
Content Writer
Barnali Sharma is a dedicated content contributor for viAct. A university gold medalist with an MBA in Marketing, she crafts compelling narratives, enhances brand engagement, and develops data-driven marketing campaigns. When she’s not busy working her content alchemy, Barnali can be found commanding stages with her public speaking or turning data into stories that actually make sense -because who said analytics can’t have a little creativity?