Campus Monitoring Relied Only on Human Eyes, with Risks Quietly Seeping In

A university campus is an 'open space' where tens of thousands of students and faculty come and go. Access is difficult to control, and situations change every moment. It is not easy to quickly notice if someone suddenly collapses, or if an intruder enters a restricted area at night, or even if an ambulance enters.

Now, EVA is changing those limits. An era where CCTVs across the campus are connected to 'understand the situation themselves' and notify control personnel in real-time. This case shows how EVA is proving that change in the reality of the field.

Background: A Control Reality That Human Eyes Could Not Withstand

A large and open university campus. There are many visitors, and management personnel were always in short supply. For the control room staff at University B, every day was a 'day of fear of missing out'.

Finding signs of danger among hundreds of CCTV screens was like an endless marathon. Ambulances passed through the front gate but opening was delayed, and intrusions into restricted areas at night were only confirmed the next morning. The many cameras were ultimately only used for 'post-event confirmation', and real-time response was distant.

A site where it was impossible to increase manpower to monitor the entire campus or install expensive intelligent CCTVs. The question, "How long must we endure with only human eyes?" kept piling up.

The Clue to the Solution: Not New Equipment, but Smarter Monitoring

The reason University B chose EVA was because it was a 'technology that could solve the problem fundamentally without major changes'.

EVA could grant AI recognition capabilities to all cameras with just a few steps of RTSP integration while utilizing existing CCTVs as they were. The fact that control room personnel could directly define safety scenarios in natural language without complex coding or development support was a decisive differentiator.

'What our site needs now is not new equipment, but AI that field staff can use immediately.' This conviction was the reason for choosing EVA.

The Process of Solving the Problem: AI 'Reads' the Situation, HUMANS Focus on Response

After the introduction of EVA, the structure of control work changed. First, the manager set the monitoring criteria with 'natural language prompts'.

• "Notify me immediately if an ambulance appears on the screen."
• "Notify me if someone climbs over the fence of the Research Building 1 entrance at night (22:00~06:00)."

The scenarios entered in this way were immediately applied to hundreds of CCTVs as common categories, and the entire campus began to operate as one connected safety net.

When an ambulance is recognized, EVA automatically sends a real-time notification to the control room, health center, and security team. If someone intrudes into a restricted area at night, EVA immediately brings up the monitoring screen to support the manager's response. Now, control personnel focus only on 'real events notified by EVA' instead of 'watching all screens'.

The Possibility Proved by PoC: Instead of 'Watching' the Screen, we can now 'PROTECT' the Site

During the PoC, the most significant change felt was 'psychological ease' and 'focus on the field'. Freed from the tension of having to keep an eye on the screen during a 24-hour shift, control personnel were able to respond immediately to necessary situations based on EVA's recognition results.

Emergency response speed became faster, and accidents where anomalies were 'missed' decreased significantly. Above all, even with fewer control personnel, a sense of trust was established that the entire campus was being monitored 24/7.

• Safety scenarios across the campus can be infinitely expanded
• Optimal ROI is secured within the budget
• An AI-based safety management system that minimizes human risk is completed

This Is Not Just a Campus Story — If Your Site Has the Same Concerns

"Large site, lack of manpower, unpredictable situations..." If this sentence feels like your company's story, University B's change can be your answer.

Without new equipment or complex development, you can make your CCTV smart right away. Build an AI safety net that 'sees, understands, and responds' at your site through EVA now.